fix build duplicate symbols

this change makes it easier to address blobs by their original names
without rebuilding the filesystem structure

.github/workflows/test-install.yaml

@@ -0,0 +1,22 @@
+name: test-install
+
+on:
+  pull_request:
+    paths:
+      - 'scripts/install.sh'
+      - '.github/workflows/test-install.yaml'
+
+jobs:
+  test:
+    strategy:
+      matrix:
+        os: [ubuntu-latest, macos-latest]
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Run install script
+        run: sh ./scripts/install.sh
+        env:
+          OLLAMA_NO_START: 1 # do not start app
+      - name: Verify ollama is available
+        run: ollama --version

anthropic/anthropic.go

@@ -518,24 +518,26 @@ func mapStopReason(reason string, hasToolCalls bool) string {
 
 // StreamConverter manages state for converting Ollama streaming responses to Anthropic format
 type StreamConverter struct {
-	ID              string
-	Model           string
-	firstWrite      bool
-	contentIndex    int
-	inputTokens     int
-	outputTokens    int
-	thinkingStarted bool
-	thinkingDone    bool
-	textStarted     bool
-	toolCallsSent   map[string]bool
+	ID                   string
+	Model                string
+	firstWrite           bool
+	contentIndex         int
+	inputTokens          int
+	outputTokens         int
+	estimatedInputTokens int // Estimated tokens from request (used when actual metrics are 0)
+	thinkingStarted      bool
+	thinkingDone         bool
+	textStarted          bool
+	toolCallsSent        map[string]bool
 }
 
-func NewStreamConverter(id, model string) *StreamConverter {
+func NewStreamConverter(id, model string, estimatedInputTokens int) *StreamConverter {
 	return &StreamConverter{
-		ID:            id,
-		Model:         model,
-		firstWrite:    true,
-		toolCallsSent: make(map[string]bool),
+		ID:                   id,
+		Model:                model,
+		firstWrite:           true,
+		estimatedInputTokens: estimatedInputTokens,
+		toolCallsSent:        make(map[string]bool),
 	}
 }
 
@@ -551,7 +553,11 @@ func (c *StreamConverter) Process(r api.ChatResponse) []StreamEvent {
 
 	if c.firstWrite {
 		c.firstWrite = false
+		// Use actual metrics if available, otherwise use estimate
 		c.inputTokens = r.Metrics.PromptEvalCount
+		if c.inputTokens == 0 && c.estimatedInputTokens > 0 {
+			c.inputTokens = c.estimatedInputTokens
+		}
 
 		events = append(events, StreamEvent{
 			Event: "message_start",
@@ -779,3 +785,123 @@ func mapToArgs(m map[string]any) api.ToolCallFunctionArguments {
 	}
 	return args
 }
+
+// CountTokensRequest represents an Anthropic count_tokens request
+type CountTokensRequest struct {
+	Model    string          `json:"model"`
+	Messages []MessageParam  `json:"messages"`
+	System   any             `json:"system,omitempty"`
+	Tools    []Tool          `json:"tools,omitempty"`
+	Thinking *ThinkingConfig `json:"thinking,omitempty"`
+}
+
+// EstimateInputTokens estimates input tokens from a MessagesRequest (reuses CountTokensRequest logic)
+func EstimateInputTokens(req MessagesRequest) int {
+	return estimateTokens(CountTokensRequest{
+		Model:    req.Model,
+		Messages: req.Messages,
+		System:   req.System,
+		Tools:    req.Tools,
+		Thinking: req.Thinking,
+	})
+}
+
+// CountTokensResponse represents an Anthropic count_tokens response
+type CountTokensResponse struct {
+	InputTokens int `json:"input_tokens"`
+}
+
+// estimateTokens returns a rough estimate of tokens (len/4).
+// TODO: Replace with actual tokenization via Tokenize API for accuracy.
+// Current len/4 heuristic is a rough approximation (~4 chars/token average).
+func estimateTokens(req CountTokensRequest) int {
+	var totalLen int
+
+	// Count system prompt
+	if req.System != nil {
+		totalLen += countAnyContent(req.System)
+	}
+
+	// Count messages
+	for _, msg := range req.Messages {
+		// Count role (always present)
+		totalLen += len(msg.Role)
+		// Count content
+		contentLen := countAnyContent(msg.Content)
+		totalLen += contentLen
+	}
+
+	for _, tool := range req.Tools {
+		totalLen += len(tool.Name) + len(tool.Description) + len(tool.InputSchema)
+	}
+
+	// Return len/4 as rough token estimate, minimum 1 if there's any content
+	tokens := totalLen / 4
+	if tokens == 0 && (len(req.Messages) > 0 || req.System != nil) {
+		tokens = 1
+	}
+	return tokens
+}
+
+func countAnyContent(content any) int {
+	if content == nil {
+		return 0
+	}
+
+	switch c := content.(type) {
+	case string:
+		return len(c)
+	case []any:
+		total := 0
+		for _, block := range c {
+			total += countContentBlock(block)
+		}
+		return total
+	default:
+		if data, err := json.Marshal(content); err == nil {
+			return len(data)
+		}
+		return 0
+	}
+}
+
+func countContentBlock(block any) int {
+	blockMap, ok := block.(map[string]any)
+	if !ok {
+		if s, ok := block.(string); ok {
+			return len(s)
+		}
+		return 0
+	}
+
+	total := 0
+	blockType, _ := blockMap["type"].(string)
+
+	if text, ok := blockMap["text"].(string); ok {
+		total += len(text)
+	}
+
+	if thinking, ok := blockMap["thinking"].(string); ok {
+		total += len(thinking)
+	}
+
+	if blockType == "tool_use" {
+		if data, err := json.Marshal(blockMap); err == nil {
+			total += len(data)
+		}
+	}
+
+	if blockType == "tool_result" {
+		if data, err := json.Marshal(blockMap); err == nil {
+			total += len(data)
+		}
+	}
+
+	if source, ok := blockMap["source"].(map[string]any); ok {
+		if data, ok := source["data"].(string); ok {
+			total += len(data)
+		}
+	}
+
+	return total
+}

anthropic/anthropic_test.go

@@ -321,8 +321,6 @@ func TestFromMessagesRequest_WithThinking(t *testing.T) {
 	}
 }
 
-// TestFromMessagesRequest_ThinkingOnlyBlock verifies that messages containing only
-// a thinking block (no text, images, or tool calls) are preserved and not dropped.
 func TestFromMessagesRequest_ThinkingOnlyBlock(t *testing.T) {
 	req := MessagesRequest{
 		Model:     "test-model",
@@ -605,7 +603,7 @@ func TestGenerateMessageID(t *testing.T) {
 }
 
 func TestStreamConverter_Basic(t *testing.T) {
-	conv := NewStreamConverter("msg_123", "test-model")
+	conv := NewStreamConverter("msg_123", "test-model", 0)
 
 	// First chunk
 	resp1 := api.ChatResponse{
@@ -678,7 +676,7 @@ func TestStreamConverter_Basic(t *testing.T) {
 }
 
 func TestStreamConverter_WithToolCalls(t *testing.T) {
-	conv := NewStreamConverter("msg_123", "test-model")
+	conv := NewStreamConverter("msg_123", "test-model", 0)
 
 	resp := api.ChatResponse{
 		Model: "test-model",
@@ -731,7 +729,7 @@ func TestStreamConverter_WithToolCalls(t *testing.T) {
 func TestStreamConverter_ToolCallWithUnmarshalableArgs(t *testing.T) {
 	// Test that unmarshalable arguments (like channels) are handled gracefully
 	// and don't cause a panic or corrupt stream
-	conv := NewStreamConverter("msg_123", "test-model")
+	conv := NewStreamConverter("msg_123", "test-model", 0)
 
 	// Create a channel which cannot be JSON marshaled
 	unmarshalable := make(chan int)
@@ -778,7 +776,7 @@ func TestStreamConverter_ToolCallWithUnmarshalableArgs(t *testing.T) {
 
 func TestStreamConverter_MultipleToolCallsWithMixedValidity(t *testing.T) {
 	// Test that valid tool calls still work when mixed with invalid ones
-	conv := NewStreamConverter("msg_123", "test-model")
+	conv := NewStreamConverter("msg_123", "test-model", 0)
 
 	unmarshalable := make(chan int)
 	badArgs := api.NewToolCallFunctionArguments()
@@ -842,10 +840,6 @@ func TestStreamConverter_MultipleToolCallsWithMixedValidity(t *testing.T) {
 	}
 }
 
-// TestContentBlockJSON_EmptyFieldsPresent verifies that empty text and thinking fields
-// are serialized in JSON output. The Anthropic SDK requires these fields to be present
-// (even when empty) in content_block_start events to properly accumulate streaming deltas.
-// Without these fields, the SDK throws: "TypeError: unsupported operand type(s) for +=: 'NoneType' and 'str'"
 func TestContentBlockJSON_EmptyFieldsPresent(t *testing.T) {
 	tests := []struct {
 		name     string
@@ -899,11 +893,9 @@ func TestContentBlockJSON_EmptyFieldsPresent(t *testing.T) {
 	}
 }
 
-// TestStreamConverter_ContentBlockStartIncludesEmptyFields verifies that content_block_start
-// events include the required empty fields for SDK compatibility.
 func TestStreamConverter_ContentBlockStartIncludesEmptyFields(t *testing.T) {
 	t.Run("text block start includes empty text", func(t *testing.T) {
-		conv := NewStreamConverter("msg_123", "test-model")
+		conv := NewStreamConverter("msg_123", "test-model", 0)
 
 		resp := api.ChatResponse{
 			Model:   "test-model",
@@ -937,7 +929,7 @@ func TestStreamConverter_ContentBlockStartIncludesEmptyFields(t *testing.T) {
 	})
 
 	t.Run("thinking block start includes empty thinking", func(t *testing.T) {
-		conv := NewStreamConverter("msg_123", "test-model")
+		conv := NewStreamConverter("msg_123", "test-model", 0)
 
 		resp := api.ChatResponse{
 			Model:   "test-model",
@@ -969,3 +961,105 @@ func TestStreamConverter_ContentBlockStartIncludesEmptyFields(t *testing.T) {
 		}
 	})
 }
+
+func TestEstimateTokens_SimpleMessage(t *testing.T) {
+	req := CountTokensRequest{
+		Model: "test-model",
+		Messages: []MessageParam{
+			{Role: "user", Content: "Hello, world!"},
+		},
+	}
+
+	tokens := estimateTokens(req)
+
+	// "user" (4) + "Hello, world!" (13) = 17 chars / 4 = 4 tokens
+	if tokens < 1 {
+		t.Errorf("expected at least 1 token, got %d", tokens)
+	}
+	// Sanity check: shouldn't be wildly off
+	if tokens > 10 {
+		t.Errorf("expected fewer than 10 tokens for short message, got %d", tokens)
+	}
+}
+
+func TestEstimateTokens_WithSystemPrompt(t *testing.T) {
+	req := CountTokensRequest{
+		Model:  "test-model",
+		System: "You are a helpful assistant.",
+		Messages: []MessageParam{
+			{Role: "user", Content: "Hello"},
+		},
+	}
+
+	tokens := estimateTokens(req)
+
+	// System prompt adds to count
+	if tokens < 5 {
+		t.Errorf("expected at least 5 tokens with system prompt, got %d", tokens)
+	}
+}
+
+func TestEstimateTokens_WithTools(t *testing.T) {
+	req := CountTokensRequest{
+		Model: "test-model",
+		Messages: []MessageParam{
+			{Role: "user", Content: "What's the weather?"},
+		},
+		Tools: []Tool{
+			{
+				Name:        "get_weather",
+				Description: "Get the current weather for a location",
+				InputSchema: json.RawMessage(`{"type":"object","properties":{"location":{"type":"string"}}}`),
+			},
+		},
+	}
+
+	tokens := estimateTokens(req)
+
+	// Tools add significant content
+	if tokens < 10 {
+		t.Errorf("expected at least 10 tokens with tools, got %d", tokens)
+	}
+}
+
+func TestEstimateTokens_WithThinking(t *testing.T) {
+	req := CountTokensRequest{
+		Model: "test-model",
+		Messages: []MessageParam{
+			{Role: "user", Content: "Hello"},
+			{
+				Role: "assistant",
+				Content: []any{
+					map[string]any{
+						"type":     "thinking",
+						"thinking": "Let me think about this carefully...",
+					},
+					map[string]any{
+						"type": "text",
+						"text": "Here is my response.",
+					},
+				},
+			},
+		},
+	}
+
+	tokens := estimateTokens(req)
+
+	// Thinking content should be counted
+	if tokens < 10 {
+		t.Errorf("expected at least 10 tokens with thinking content, got %d", tokens)
+	}
+}
+
+func TestEstimateTokens_EmptyContent(t *testing.T) {
+	req := CountTokensRequest{
+		Model:    "test-model",
+		Messages: []MessageParam{},
+	}
+
+	tokens := estimateTokens(req)
+
+	if tokens != 0 {
+		t.Errorf("expected 0 tokens for empty content, got %d", tokens)
+	}
+}

api/client.go

@@ -466,3 +466,25 @@ func (c *Client) Whoami(ctx context.Context) (*UserResponse, error) {
 	}
 	return &resp, nil
 }
+
+// AliasRequest is the request body for creating or updating a model alias.
+type AliasRequest struct {
+	Alias          string `json:"alias"`
+	Target         string `json:"target"`
+	PrefixMatching bool   `json:"prefix_matching,omitempty"`
+}
+
+// SetAliasExperimental creates or updates a model alias via the experimental aliases API.
+func (c *Client) SetAliasExperimental(ctx context.Context, req *AliasRequest) error {
+	return c.do(ctx, http.MethodPost, "/api/experimental/aliases", req, nil)
+}
+
+// AliasDeleteRequest is the request body for deleting a model alias.
+type AliasDeleteRequest struct {
+	Alias string `json:"alias"`
+}
+
+// DeleteAliasExperimental deletes a model alias via the experimental aliases API.
+func (c *Client) DeleteAliasExperimental(ctx context.Context, req *AliasDeleteRequest) error {
+	return c.do(ctx, http.MethodDelete, "/api/experimental/aliases", req, nil)
+}

cmd/cmd.go

@@ -1763,7 +1763,7 @@ func checkServerHeartbeat(cmd *cobra.Command, _ []string) error {
 			return err
 		}
 		if err := startApp(cmd.Context(), client); err != nil {
-			return fmt.Errorf("ollama server not responding - %w", err)
+			return err
 		}
 	}
 	return nil

cmd/config/claude.go

@@ -1,18 +1,23 @@
 package config
 
 import (
+	"context"
 	"fmt"
 	"os"
 	"os/exec"
 	"path/filepath"
 	"runtime"
 
+	"github.com/ollama/ollama/api"
 	"github.com/ollama/ollama/envconfig"
 )
 
-// Claude implements Runner for Claude Code integration
+// Claude implements Runner and AliasConfigurer for Claude Code integration
 type Claude struct{}
 
+// Compile-time check that Claude implements AliasConfigurer
+var _ AliasConfigurer = (*Claude)(nil)
+
 func (c *Claude) String() string { return "Claude Code" }
 
 func (c *Claude) args(model string, extra []string) []string {
@@ -60,3 +65,104 @@ func (c *Claude) Run(model string, args []string) error {
 	)
 	return cmd.Run()
 }
+
+// ConfigureAliases sets up model aliases for Claude Code.
+// model: the model to use (if empty, user will be prompted to select)
+// aliases: existing alias configuration to preserve/update
+// Cloud-only: subagent routing (fast model) is gated to cloud models only until
+// there is a better strategy for prompt caching on local models.
+func (c *Claude) ConfigureAliases(ctx context.Context, model string, existingAliases map[string]string, force bool) (map[string]string, bool, error) {
+	aliases := make(map[string]string)
+	for k, v := range existingAliases {
+		aliases[k] = v
+	}
+
+	if model != "" {
+		aliases["primary"] = model
+	}
+
+	if !force && aliases["primary"] != "" {
+		client, _ := api.ClientFromEnvironment()
+		if isCloudModel(ctx, client, aliases["primary"]) {
+			if isCloudModel(ctx, client, aliases["fast"]) {
+				return aliases, false, nil
+			}
+		} else {
+			delete(aliases, "fast")
+			return aliases, false, nil
+		}
+	}
+
+	items, existingModels, cloudModels, client, err := listModels(ctx)
+	if err != nil {
+		return nil, false, err
+	}
+
+	fmt.Fprintf(os.Stderr, "\n%sModel Configuration%s\n\n", ansiBold, ansiReset)
+
+	if aliases["primary"] == "" || force {
+		primary, err := selectPrompt("Select model:", items)
+		fmt.Fprintf(os.Stderr, "\033[3A\033[J")
+		if err != nil {
+			return nil, false, err
+		}
+		if err := pullIfNeeded(ctx, client, existingModels, primary); err != nil {
+			return nil, false, err
+		}
+		if err := ensureAuth(ctx, client, cloudModels, []string{primary}); err != nil {
+			return nil, false, err
+		}
+		aliases["primary"] = primary
+	}
+
+	if isCloudModel(ctx, client, aliases["primary"]) {
+		if aliases["fast"] == "" || !isCloudModel(ctx, client, aliases["fast"]) {
+			aliases["fast"] = aliases["primary"]
+		}
+	} else {
+		delete(aliases, "fast")
+	}
+
+	return aliases, true, nil
+}
+
+// SetAliases syncs the configured aliases to the Ollama server using prefix matching.
+// Cloud-only: for local models (fast is empty), we delete any existing aliases to
+// prevent stale routing to a previous cloud model.
+func (c *Claude) SetAliases(ctx context.Context, aliases map[string]string) error {
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		return err
+	}
+
+	prefixes := []string{"claude-sonnet-", "claude-haiku-"}
+
+	if aliases["fast"] == "" {
+		for _, prefix := range prefixes {
+			_ = client.DeleteAliasExperimental(ctx, &api.AliasDeleteRequest{Alias: prefix})
+		}
+		return nil
+	}
+
+	prefixAliases := map[string]string{
+		"claude-sonnet-": aliases["primary"],
+		"claude-haiku-":  aliases["fast"],
+	}
+
+	var errs []string
+	for prefix, target := range prefixAliases {
+		req := &api.AliasRequest{
+			Alias:          prefix,
+			Target:         target,
+			PrefixMatching: true,
+		}
+		if err := client.SetAliasExperimental(ctx, req); err != nil {
+			errs = append(errs, prefix)
+		}
+	}
+
+	if len(errs) > 0 {
+		return fmt.Errorf("failed to set aliases: %v", errs)
+	}
+	return nil
+}

cmd/config/config.go

@@ -13,7 +13,8 @@ import (
 )
 
 type integration struct {
-	Models []string `json:"models"`
+	Models  []string          `json:"models"`
+	Aliases map[string]string `json:"aliases,omitempty"`
 }
 
 type config struct {
@@ -133,8 +134,16 @@ func saveIntegration(appName string, models []string) error {
 		return err
 	}
 
-	cfg.Integrations[strings.ToLower(appName)] = &integration{
-		Models: models,
+	key := strings.ToLower(appName)
+	existing := cfg.Integrations[key]
+	var aliases map[string]string
+	if existing != nil && existing.Aliases != nil {
+		aliases = existing.Aliases
+	}
+
+	cfg.Integrations[key] = &integration{
+		Models:  models,
+		Aliases: aliases,
 	}
 
 	return save(cfg)
@@ -154,6 +163,29 @@ func loadIntegration(appName string) (*integration, error) {
 	return ic, nil
 }
 
+func saveAliases(appName string, aliases map[string]string) error {
+	if appName == "" {
+		return errors.New("app name cannot be empty")
+	}
+
+	cfg, err := load()
+	if err != nil {
+		return err
+	}
+
+	key := strings.ToLower(appName)
+	existing := cfg.Integrations[key]
+	if existing == nil {
+		existing = &integration{}
+	}
+
+	// Replace aliases entirely (not merge) so deletions are persisted
+	existing.Aliases = aliases
+
+	cfg.Integrations[key] = existing
+	return save(cfg)
+}
+
 func listIntegrations() ([]integration, error) {
 	cfg, err := load()
 	if err != nil {

cmd/config/config_cloud_test.go

@@ -0,0 +1,677 @@
+package config
+
+import (
+	"context"
+	"errors"
+	"os"
+	"path/filepath"
+	"testing"
+)
+
+func TestSetAliases_CloudModel(t *testing.T) {
+	// Test the SetAliases logic by checking the alias map behavior
+	aliases := map[string]string{
+		"primary": "kimi-k2.5:cloud",
+		"fast":    "kimi-k2.5:cloud",
+	}
+
+	// Verify fast is set (cloud model behavior)
+	if aliases["fast"] == "" {
+		t.Error("cloud model should have fast alias set")
+	}
+	if aliases["fast"] != aliases["primary"] {
+		t.Errorf("fast should equal primary for auto-set, got fast=%q primary=%q", aliases["fast"], aliases["primary"])
+	}
+}
+
+func TestSetAliases_LocalModel(t *testing.T) {
+	aliases := map[string]string{
+		"primary": "llama3.2:latest",
+	}
+	// Simulate local model behavior: fast should be empty
+	delete(aliases, "fast")
+
+	if aliases["fast"] != "" {
+		t.Error("local model should have empty fast alias")
+	}
+}
+
+func TestSaveAliases_ReplacesNotMerges(t *testing.T) {
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	// First save with both primary and fast
+	initial := map[string]string{
+		"primary": "cloud-model",
+		"fast":    "cloud-model",
+	}
+	if err := saveAliases("claude", initial); err != nil {
+		t.Fatalf("failed to save initial aliases: %v", err)
+	}
+
+	// Verify both are saved
+	loaded, err := loadIntegration("claude")
+	if err != nil {
+		t.Fatalf("failed to load: %v", err)
+	}
+	if loaded.Aliases["fast"] != "cloud-model" {
+		t.Errorf("expected fast=cloud-model, got %q", loaded.Aliases["fast"])
+	}
+
+	// Now save without fast (simulating switch to local model)
+	updated := map[string]string{
+		"primary": "local-model",
+		// fast intentionally missing
+	}
+	if err := saveAliases("claude", updated); err != nil {
+		t.Fatalf("failed to save updated aliases: %v", err)
+	}
+
+	// Verify fast is GONE (not merged/preserved)
+	loaded, err = loadIntegration("claude")
+	if err != nil {
+		t.Fatalf("failed to load after update: %v", err)
+	}
+	if loaded.Aliases["fast"] != "" {
+		t.Errorf("fast should be removed after saving without it, got %q", loaded.Aliases["fast"])
+	}
+	if loaded.Aliases["primary"] != "local-model" {
+		t.Errorf("primary should be updated to local-model, got %q", loaded.Aliases["primary"])
+	}
+}
+
+func TestSaveAliases_PreservesModels(t *testing.T) {
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	// First save integration with models
+	if err := saveIntegration("claude", []string{"model1", "model2"}); err != nil {
+		t.Fatalf("failed to save integration: %v", err)
+	}
+
+	// Then update aliases
+	aliases := map[string]string{"primary": "new-model"}
+	if err := saveAliases("claude", aliases); err != nil {
+		t.Fatalf("failed to save aliases: %v", err)
+	}
+
+	// Verify models are preserved
+	loaded, err := loadIntegration("claude")
+	if err != nil {
+		t.Fatalf("failed to load: %v", err)
+	}
+	if len(loaded.Models) != 2 || loaded.Models[0] != "model1" {
+		t.Errorf("models should be preserved, got %v", loaded.Models)
+	}
+}
+
+// TestSaveAliases_EmptyMap clears all aliases
+func TestSaveAliases_EmptyMap(t *testing.T) {
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	// Save with aliases
+	if err := saveAliases("claude", map[string]string{"primary": "model", "fast": "model"}); err != nil {
+		t.Fatalf("failed to save: %v", err)
+	}
+
+	// Save empty map
+	if err := saveAliases("claude", map[string]string{}); err != nil {
+		t.Fatalf("failed to save empty: %v", err)
+	}
+
+	loaded, err := loadIntegration("claude")
+	if err != nil {
+		t.Fatalf("failed to load: %v", err)
+	}
+	if len(loaded.Aliases) != 0 {
+		t.Errorf("aliases should be empty, got %v", loaded.Aliases)
+	}
+}
+
+// TestSaveAliases_NilMap handles nil gracefully
+func TestSaveAliases_NilMap(t *testing.T) {
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	// Save with aliases first
+	if err := saveAliases("claude", map[string]string{"primary": "model"}); err != nil {
+		t.Fatalf("failed to save: %v", err)
+	}
+
+	// Save nil map - should clear aliases
+	if err := saveAliases("claude", nil); err != nil {
+		t.Fatalf("failed to save nil: %v", err)
+	}
+
+	loaded, err := loadIntegration("claude")
+	if err != nil {
+		t.Fatalf("failed to load: %v", err)
+	}
+	if len(loaded.Aliases) > 0 {
+		t.Errorf("aliases should be nil or empty, got %v", loaded.Aliases)
+	}
+}
+
+// TestSaveAliases_EmptyAppName returns error
+func TestSaveAliases_EmptyAppName(t *testing.T) {
+	err := saveAliases("", map[string]string{"primary": "model"})
+	if err == nil {
+		t.Error("expected error for empty app name")
+	}
+}
+
+func TestSaveAliases_CaseInsensitive(t *testing.T) {
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	if err := saveAliases("Claude", map[string]string{"primary": "model1"}); err != nil {
+		t.Fatalf("failed to save: %v", err)
+	}
+
+	// Load with different case
+	loaded, err := loadIntegration("claude")
+	if err != nil {
+		t.Fatalf("failed to load: %v", err)
+	}
+	if loaded.Aliases["primary"] != "model1" {
+		t.Errorf("expected primary=model1, got %q", loaded.Aliases["primary"])
+	}
+
+	// Update with different case
+	if err := saveAliases("CLAUDE", map[string]string{"primary": "model2"}); err != nil {
+		t.Fatalf("failed to update: %v", err)
+	}
+
+	loaded, err = loadIntegration("claude")
+	if err != nil {
+		t.Fatalf("failed to load after update: %v", err)
+	}
+	if loaded.Aliases["primary"] != "model2" {
+		t.Errorf("expected primary=model2, got %q", loaded.Aliases["primary"])
+	}
+}
+
+// TestSaveAliases_CreatesIntegration creates integration if it doesn't exist
+func TestSaveAliases_CreatesIntegration(t *testing.T) {
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	// Save aliases for non-existent integration
+	if err := saveAliases("newintegration", map[string]string{"primary": "model"}); err != nil {
+		t.Fatalf("failed to save: %v", err)
+	}
+
+	loaded, err := loadIntegration("newintegration")
+	if err != nil {
+		t.Fatalf("failed to load: %v", err)
+	}
+	if loaded.Aliases["primary"] != "model" {
+		t.Errorf("expected primary=model, got %q", loaded.Aliases["primary"])
+	}
+}
+
+func TestConfigureAliases_AliasMap(t *testing.T) {
+	t.Run("cloud model auto-sets fast to primary", func(t *testing.T) {
+		aliases := make(map[string]string)
+		aliases["primary"] = "cloud-model"
+
+		// Simulate cloud model behavior
+		isCloud := true
+		if isCloud {
+			if aliases["fast"] == "" {
+				aliases["fast"] = aliases["primary"]
+			}
+		}
+
+		if aliases["fast"] != "cloud-model" {
+			t.Errorf("expected fast=cloud-model, got %q", aliases["fast"])
+		}
+	})
+
+	t.Run("cloud model preserves custom fast", func(t *testing.T) {
+		aliases := map[string]string{
+			"primary": "cloud-model",
+			"fast":    "custom-fast-model",
+		}
+
+		// Simulate cloud model behavior - should preserve existing fast
+		isCloud := true
+		if isCloud {
+			if aliases["fast"] == "" {
+				aliases["fast"] = aliases["primary"]
+			}
+		}
+
+		if aliases["fast"] != "custom-fast-model" {
+			t.Errorf("expected fast=custom-fast-model (preserved), got %q", aliases["fast"])
+		}
+	})
+
+	t.Run("local model clears fast", func(t *testing.T) {
+		aliases := map[string]string{
+			"primary": "local-model",
+			"fast":    "should-be-cleared",
+		}
+
+		// Simulate local model behavior
+		isCloud := false
+		if !isCloud {
+			delete(aliases, "fast")
+		}
+
+		if aliases["fast"] != "" {
+			t.Errorf("expected fast to be cleared, got %q", aliases["fast"])
+		}
+	})
+
+	t.Run("switching cloud to local clears fast", func(t *testing.T) {
+		// Start with cloud config
+		aliases := map[string]string{
+			"primary": "cloud-model",
+			"fast":    "cloud-model",
+		}
+
+		// Switch to local
+		aliases["primary"] = "local-model"
+		isCloud := false
+		if !isCloud {
+			delete(aliases, "fast")
+		}
+
+		if aliases["fast"] != "" {
+			t.Errorf("fast should be cleared when switching to local, got %q", aliases["fast"])
+		}
+		if aliases["primary"] != "local-model" {
+			t.Errorf("primary should be updated, got %q", aliases["primary"])
+		}
+	})
+
+	t.Run("switching local to cloud sets fast", func(t *testing.T) {
+		// Start with local config (no fast)
+		aliases := map[string]string{
+			"primary": "local-model",
+		}
+
+		// Switch to cloud
+		aliases["primary"] = "cloud-model"
+		isCloud := true
+		if isCloud {
+			if aliases["fast"] == "" {
+				aliases["fast"] = aliases["primary"]
+			}
+		}
+
+		if aliases["fast"] != "cloud-model" {
+			t.Errorf("fast should be set when switching to cloud, got %q", aliases["fast"])
+		}
+	})
+}
+
+func TestSetAliases_PrefixMapping(t *testing.T) {
+	// This tests the expected mapping without needing a real client
+	aliases := map[string]string{
+		"primary": "my-cloud-model",
+		"fast":    "my-fast-model",
+	}
+
+	expectedMappings := map[string]string{
+		"claude-sonnet-": aliases["primary"],
+		"claude-haiku-":  aliases["fast"],
+	}
+
+	if expectedMappings["claude-sonnet-"] != "my-cloud-model" {
+		t.Errorf("claude-sonnet- should map to primary")
+	}
+	if expectedMappings["claude-haiku-"] != "my-fast-model" {
+		t.Errorf("claude-haiku- should map to fast")
+	}
+}
+
+func TestSetAliases_LocalDeletesPrefixes(t *testing.T) {
+	aliases := map[string]string{
+		"primary": "local-model",
+		// fast is empty/missing - indicates local model
+	}
+
+	prefixesToDelete := []string{"claude-sonnet-", "claude-haiku-"}
+
+	// Verify the logic: when fast is empty, we should delete
+	if aliases["fast"] != "" {
+		t.Error("fast should be empty for local model")
+	}
+
+	// Verify we have the right prefixes to delete
+	if len(prefixesToDelete) != 2 {
+		t.Errorf("expected 2 prefixes to delete, got %d", len(prefixesToDelete))
+	}
+}
+
+// TestAtomicUpdate_ServerFailsConfigNotSaved simulates atomic update behavior
+func TestAtomicUpdate_ServerFailsConfigNotSaved(t *testing.T) {
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	// Simulate: server fails, config should NOT be saved
+	serverErr := errors.New("server unavailable")
+
+	if serverErr == nil {
+		t.Error("config should NOT be saved when server fails")
+	}
+}
+
+// TestAtomicUpdate_ServerSucceedsConfigSaved simulates successful atomic update
+func TestAtomicUpdate_ServerSucceedsConfigSaved(t *testing.T) {
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	// Simulate: server succeeds, config should be saved
+	var serverErr error
+	if serverErr != nil {
+		t.Fatal("server should succeed")
+	}
+
+	if err := saveAliases("claude", map[string]string{"primary": "model"}); err != nil {
+		t.Fatalf("saveAliases failed: %v", err)
+	}
+
+	// Verify it was actually saved
+	loaded, err := loadIntegration("claude")
+	if err != nil {
+		t.Fatalf("failed to load: %v", err)
+	}
+	if loaded.Aliases["primary"] != "model" {
+		t.Errorf("expected primary=model, got %q", loaded.Aliases["primary"])
+	}
+}
+
+func TestConfigFile_PreservesUnknownFields(t *testing.T) {
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	// Write config with extra fields
+	configPath := filepath.Join(tmpDir, ".ollama", "config.json")
+	os.MkdirAll(filepath.Dir(configPath), 0o755)
+
+	// Note: Our config struct only has Integrations, so top-level unknown fields
+	// won't be preserved by our current implementation. This test documents that.
+	initialConfig := `{
+  "integrations": {
+    "claude": {
+      "models": ["model1"],
+      "aliases": {"primary": "model1"},
+      "unknownField": "should be lost"
+    }
+  },
+  "topLevelUnknown": "will be lost"
+}`
+	os.WriteFile(configPath, []byte(initialConfig), 0o644)
+
+	// Update aliases
+	if err := saveAliases("claude", map[string]string{"primary": "model2"}); err != nil {
+		t.Fatalf("failed to save: %v", err)
+	}
+
+	// Read raw file to check
+	data, _ := os.ReadFile(configPath)
+	content := string(data)
+
+	// models should be preserved
+	if !contains(content, "model1") {
+		t.Error("models should be preserved")
+	}
+
+	// primary should be updated
+	if !contains(content, "model2") {
+		t.Error("primary should be updated to model2")
+	}
+}
+
+func contains(s, substr string) bool {
+	return len(s) >= len(substr) && (s == substr || len(s) > 0 && containsHelper(s, substr))
+}
+
+func containsHelper(s, substr string) bool {
+	for i := 0; i <= len(s)-len(substr); i++ {
+		if s[i:i+len(substr)] == substr {
+			return true
+		}
+	}
+	return false
+}
+
+func TestClaudeImplementsAliasConfigurer(t *testing.T) {
+	c := &Claude{}
+	var _ AliasConfigurer = c // Compile-time check
+}
+
+func TestModelNameEdgeCases(t *testing.T) {
+	testCases := []struct {
+		name  string
+		model string
+	}{
+		{"simple", "llama3.2"},
+		{"with tag", "llama3.2:latest"},
+		{"with cloud tag", "kimi-k2.5:cloud"},
+		{"with namespace", "library/llama3.2"},
+		{"with dots", "glm-4.7-flash"},
+		{"with numbers", "qwen3:8b"},
+	}
+
+	for _, tc := range testCases {
+		t.Run(tc.name, func(t *testing.T) {
+			tmpDir := t.TempDir()
+			setTestHome(t, tmpDir)
+
+			aliases := map[string]string{"primary": tc.model}
+			if err := saveAliases("claude", aliases); err != nil {
+				t.Fatalf("failed to save model %q: %v", tc.model, err)
+			}
+
+			loaded, err := loadIntegration("claude")
+			if err != nil {
+				t.Fatalf("failed to load: %v", err)
+			}
+			if loaded.Aliases["primary"] != tc.model {
+				t.Errorf("expected primary=%q, got %q", tc.model, loaded.Aliases["primary"])
+			}
+		})
+	}
+}
+
+func TestSwitchingScenarios(t *testing.T) {
+	t.Run("cloud to local removes fast", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		// Initial cloud config
+		if err := saveAliases("claude", map[string]string{
+			"primary": "cloud-model",
+			"fast":    "cloud-model",
+		}); err != nil {
+			t.Fatal(err)
+		}
+
+		// Switch to local (no fast)
+		if err := saveAliases("claude", map[string]string{
+			"primary": "local-model",
+		}); err != nil {
+			t.Fatal(err)
+		}
+
+		loaded, _ := loadIntegration("claude")
+		if loaded.Aliases["fast"] != "" {
+			t.Errorf("fast should be removed, got %q", loaded.Aliases["fast"])
+		}
+		if loaded.Aliases["primary"] != "local-model" {
+			t.Errorf("primary should be local-model, got %q", loaded.Aliases["primary"])
+		}
+	})
+
+	t.Run("local to cloud adds fast", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		// Initial local config
+		if err := saveAliases("claude", map[string]string{
+			"primary": "local-model",
+		}); err != nil {
+			t.Fatal(err)
+		}
+
+		// Switch to cloud (with fast)
+		if err := saveAliases("claude", map[string]string{
+			"primary": "cloud-model",
+			"fast":    "cloud-model",
+		}); err != nil {
+			t.Fatal(err)
+		}
+
+		loaded, _ := loadIntegration("claude")
+		if loaded.Aliases["fast"] != "cloud-model" {
+			t.Errorf("fast should be cloud-model, got %q", loaded.Aliases["fast"])
+		}
+	})
+
+	t.Run("cloud to different cloud updates both", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		// Initial cloud config
+		if err := saveAliases("claude", map[string]string{
+			"primary": "cloud-model-1",
+			"fast":    "cloud-model-1",
+		}); err != nil {
+			t.Fatal(err)
+		}
+
+		// Switch to different cloud
+		if err := saveAliases("claude", map[string]string{
+			"primary": "cloud-model-2",
+			"fast":    "cloud-model-2",
+		}); err != nil {
+			t.Fatal(err)
+		}
+
+		loaded, _ := loadIntegration("claude")
+		if loaded.Aliases["primary"] != "cloud-model-2" {
+			t.Errorf("primary should be cloud-model-2, got %q", loaded.Aliases["primary"])
+		}
+		if loaded.Aliases["fast"] != "cloud-model-2" {
+			t.Errorf("fast should be cloud-model-2, got %q", loaded.Aliases["fast"])
+		}
+	})
+}
+
+func TestToolCapabilityFiltering(t *testing.T) {
+	t.Run("all models checked for tool capability", func(t *testing.T) {
+		// Both cloud and local models are checked for tool capability via Show API
+		// Only models with "tools" in capabilities are included
+		m := modelInfo{Name: "tool-model", Remote: false, ToolCapable: true}
+		if !m.ToolCapable {
+			t.Error("tool capable model should be marked as such")
+		}
+	})
+
+	t.Run("modelInfo includes ToolCapable field", func(t *testing.T) {
+		m := modelInfo{Name: "test", Remote: true, ToolCapable: true}
+		if !m.ToolCapable {
+			t.Error("ToolCapable field should be accessible")
+		}
+	})
+}
+
+func TestIsCloudModel_RequiresClient(t *testing.T) {
+	t.Run("nil client always returns false", func(t *testing.T) {
+		// isCloudModel now only uses Show API, no suffix detection
+		if isCloudModel(context.Background(), nil, "model:cloud") {
+			t.Error("nil client should return false regardless of suffix")
+		}
+		if isCloudModel(context.Background(), nil, "local-model") {
+			t.Error("nil client should return false")
+		}
+	})
+}
+
+func TestModelsAndAliasesMustStayInSync(t *testing.T) {
+	t.Run("saveAliases followed by saveIntegration keeps them in sync", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		// Save aliases with one model
+		if err := saveAliases("claude", map[string]string{"primary": "model-a"}); err != nil {
+			t.Fatal(err)
+		}
+
+		// Save integration with same model (this is the pattern we use)
+		if err := saveIntegration("claude", []string{"model-a"}); err != nil {
+			t.Fatal(err)
+		}
+
+		loaded, _ := loadIntegration("claude")
+		if loaded.Aliases["primary"] != loaded.Models[0] {
+			t.Errorf("aliases.primary (%q) != models[0] (%q)", loaded.Aliases["primary"], loaded.Models[0])
+		}
+	})
+
+	t.Run("out of sync config is detectable", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		// Simulate out-of-sync state (like manual edit or bug)
+		if err := saveIntegration("claude", []string{"old-model"}); err != nil {
+			t.Fatal(err)
+		}
+		if err := saveAliases("claude", map[string]string{"primary": "new-model"}); err != nil {
+			t.Fatal(err)
+		}
+
+		loaded, _ := loadIntegration("claude")
+
+		// They should be different (this is the bug state)
+		if loaded.Models[0] == loaded.Aliases["primary"] {
+			t.Error("expected out-of-sync state for this test")
+		}
+
+		// The fix: when updating aliases, also update models
+		if err := saveIntegration("claude", []string{loaded.Aliases["primary"]}); err != nil {
+			t.Fatal(err)
+		}
+
+		loaded, _ = loadIntegration("claude")
+		if loaded.Models[0] != loaded.Aliases["primary"] {
+			t.Errorf("after fix: models[0] (%q) should equal aliases.primary (%q)",
+				loaded.Models[0], loaded.Aliases["primary"])
+		}
+	})
+
+	t.Run("updating primary alias updates models too", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		// Initial state
+		if err := saveIntegration("claude", []string{"initial-model"}); err != nil {
+			t.Fatal(err)
+		}
+		if err := saveAliases("claude", map[string]string{"primary": "initial-model"}); err != nil {
+			t.Fatal(err)
+		}
+
+		// Update aliases AND models together
+		newAliases := map[string]string{"primary": "updated-model"}
+		if err := saveAliases("claude", newAliases); err != nil {
+			t.Fatal(err)
+		}
+		if err := saveIntegration("claude", []string{newAliases["primary"]}); err != nil {
+			t.Fatal(err)
+		}
+
+		loaded, _ := loadIntegration("claude")
+		if loaded.Models[0] != "updated-model" {
+			t.Errorf("models[0] should be updated-model, got %q", loaded.Models[0])
+		}
+		if loaded.Aliases["primary"] != "updated-model" {
+			t.Errorf("aliases.primary should be updated-model, got %q", loaded.Aliases["primary"])
+		}
+	})
+}

cmd/config/config_test.go

@@ -46,6 +46,53 @@ func TestIntegrationConfig(t *testing.T) {
 		}
 	})
 
+	t.Run("save and load aliases", func(t *testing.T) {
+		models := []string{"llama3.2"}
+		if err := saveIntegration("claude", models); err != nil {
+			t.Fatal(err)
+		}
+		aliases := map[string]string{
+			"primary": "llama3.2:70b",
+			"fast":    "llama3.2:8b",
+		}
+		if err := saveAliases("claude", aliases); err != nil {
+			t.Fatal(err)
+		}
+
+		config, err := loadIntegration("claude")
+		if err != nil {
+			t.Fatal(err)
+		}
+		if config.Aliases == nil {
+			t.Fatal("expected aliases to be saved")
+		}
+		for k, v := range aliases {
+			if config.Aliases[k] != v {
+				t.Errorf("alias %s: expected %s, got %s", k, v, config.Aliases[k])
+			}
+		}
+	})
+
+	t.Run("saveIntegration preserves aliases", func(t *testing.T) {
+		if err := saveIntegration("claude", []string{"model-a"}); err != nil {
+			t.Fatal(err)
+		}
+		if err := saveAliases("claude", map[string]string{"primary": "model-a", "fast": "model-small"}); err != nil {
+			t.Fatal(err)
+		}
+
+		if err := saveIntegration("claude", []string{"model-b"}); err != nil {
+			t.Fatal(err)
+		}
+		config, err := loadIntegration("claude")
+		if err != nil {
+			t.Fatal(err)
+		}
+		if config.Aliases["primary"] != "model-a" {
+			t.Errorf("expected aliases to be preserved, got %v", config.Aliases)
+		}
+	})
+
 	t.Run("defaultModel returns first model", func(t *testing.T) {
 		saveIntegration("codex", []string{"model-a", "model-b"})
 

cmd/config/integrations.go

@@ -39,6 +39,15 @@ type Editor interface {
 	Models() []string
 }
 
+// AliasConfigurer can configure model aliases (e.g., for subagent routing).
+// Integrations like Claude and Codex use this to route model requests to local models.
+type AliasConfigurer interface {
+	// ConfigureAliases prompts the user to configure aliases and returns the updated map.
+	ConfigureAliases(ctx context.Context, primaryModel string, existing map[string]string, force bool) (map[string]string, bool, error)
+	// SetAliases syncs the configured aliases to the server
+	SetAliases(ctx context.Context, aliases map[string]string) error
+}
+
 // integrations is the registry of available integrations.
 var integrations = map[string]Runner{
 	"claude":   &Claude{},
@@ -129,7 +138,11 @@ func selectModels(ctx context.Context, name, current string) ([]string, error) {
 			return nil, err
 		}
 	} else {
-		model, err := selectPrompt(fmt.Sprintf("Select model for %s:", r), items)
+		prompt := fmt.Sprintf("Select model for %s:", r)
+		if _, ok := r.(AliasConfigurer); ok {
+			prompt = fmt.Sprintf("Select Primary model for %s:", r)
+		}
+		model, err := selectPrompt(prompt, items)
 		if err != nil {
 			return nil, err
 		}
@@ -157,73 +170,123 @@ func selectModels(ctx context.Context, name, current string) ([]string, error) {
 		}
 	}
 
+	if err := ensureAuth(ctx, client, cloudModels, selected); err != nil {
+		return nil, err
+	}
+
+	return selected, nil
+}
+
+func pullIfNeeded(ctx context.Context, client *api.Client, existingModels map[string]bool, model string) error {
+	if existingModels[model] {
+		return nil
+	}
+	msg := fmt.Sprintf("Download %s?", model)
+	if ok, err := confirmPrompt(msg); err != nil {
+		return err
+	} else if !ok {
+		return errCancelled
+	}
+	fmt.Fprintf(os.Stderr, "\n")
+	if err := pullModel(ctx, client, model); err != nil {
+		return fmt.Errorf("failed to pull %s: %w", model, err)
+	}
+	return nil
+}
+
+func listModels(ctx context.Context) ([]selectItem, map[string]bool, map[string]bool, *api.Client, error) {
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		return nil, nil, nil, nil, err
+	}
+
+	models, err := client.List(ctx)
+	if err != nil {
+		return nil, nil, nil, nil, err
+	}
+
+	var existing []modelInfo
+	for _, m := range models.Models {
+		existing = append(existing, modelInfo{
+			Name:   m.Name,
+			Remote: m.RemoteModel != "",
+		})
+	}
+
+	items, _, existingModels, cloudModels := buildModelList(existing, nil, "")
+
+	if len(items) == 0 {
+		return nil, nil, nil, nil, fmt.Errorf("no models available, run 'ollama pull <model>' first")
+	}
+
+	return items, existingModels, cloudModels, client, nil
+}
+
+func ensureAuth(ctx context.Context, client *api.Client, cloudModels map[string]bool, selected []string) error {
 	var selectedCloudModels []string
 	for _, m := range selected {
 		if cloudModels[m] {
 			selectedCloudModels = append(selectedCloudModels, m)
 		}
 	}
-	if len(selectedCloudModels) > 0 {
-		// ensure user is signed in
-		user, err := client.Whoami(ctx)
-		if err == nil && user != nil && user.Name != "" {
-			return selected, nil
-		}
+	if len(selectedCloudModels) == 0 {
+		return nil
+	}
 
-		var aErr api.AuthorizationError
-		if !errors.As(err, &aErr) || aErr.SigninURL == "" {
-			return nil, err
-		}
+	user, err := client.Whoami(ctx)
+	if err == nil && user != nil && user.Name != "" {
+		return nil
+	}
 
-		modelList := strings.Join(selectedCloudModels, ", ")
-		yes, err := confirmPrompt(fmt.Sprintf("sign in to use %s?", modelList))
-		if err != nil || !yes {
-			return nil, fmt.Errorf("%s requires sign in", modelList)
-		}
+	var aErr api.AuthorizationError
+	if !errors.As(err, &aErr) || aErr.SigninURL == "" {
+		return err
+	}
 
-		fmt.Fprintf(os.Stderr, "\nTo sign in, navigate to:\n    %s\n\n", aErr.SigninURL)
+	modelList := strings.Join(selectedCloudModels, ", ")
+	yes, err := confirmPrompt(fmt.Sprintf("sign in to use %s?", modelList))
+	if err != nil || !yes {
+		return fmt.Errorf("%s requires sign in", modelList)
+	}
 
-		// TODO(parthsareen): extract into auth package for cmd
-		// Auto-open browser (best effort, fail silently)
-		switch runtime.GOOS {
-		case "darwin":
-			_ = exec.Command("open", aErr.SigninURL).Start()
-		case "linux":
-			_ = exec.Command("xdg-open", aErr.SigninURL).Start()
-		case "windows":
-			_ = exec.Command("rundll32", "url.dll,FileProtocolHandler", aErr.SigninURL).Start()
-		}
+	fmt.Fprintf(os.Stderr, "\nTo sign in, navigate to:\n    %s\n\n", aErr.SigninURL)
 
-		spinnerFrames := []string{"|", "/", "-", "\\"}
-		frame := 0
+	switch runtime.GOOS {
+	case "darwin":
+		_ = exec.Command("open", aErr.SigninURL).Start()
+	case "linux":
+		_ = exec.Command("xdg-open", aErr.SigninURL).Start()
+	case "windows":
+		_ = exec.Command("rundll32", "url.dll,FileProtocolHandler", aErr.SigninURL).Start()
+	}
 
-		fmt.Fprintf(os.Stderr, "\033[90mwaiting for sign in to complete... %s\033[0m", spinnerFrames[0])
+	spinnerFrames := []string{"|", "/", "-", "\\"}
+	frame := 0
 
-		ticker := time.NewTicker(200 * time.Millisecond)
-		defer ticker.Stop()
+	fmt.Fprintf(os.Stderr, "\033[90mwaiting for sign in to complete... %s\033[0m", spinnerFrames[0])
 
-		for {
-			select {
-			case <-ctx.Done():
-				fmt.Fprintf(os.Stderr, "\r\033[K")
-				return nil, ctx.Err()
-			case <-ticker.C:
-				frame++
-				fmt.Fprintf(os.Stderr, "\r\033[90mwaiting for sign in to complete... %s\033[0m", spinnerFrames[frame%len(spinnerFrames)])
+	ticker := time.NewTicker(200 * time.Millisecond)
+	defer ticker.Stop()
 
-				// poll every 10th frame (~2 seconds)
-				if frame%10 == 0 {
-					u, err := client.Whoami(ctx)
-					if err == nil && u != nil && u.Name != "" {
-						fmt.Fprintf(os.Stderr, "\r\033[K\033[A\r\033[K\033[1msigned in:\033[0m %s\n", u.Name)
-						return selected, nil
-					}
+	for {
+		select {
+		case <-ctx.Done():
+			fmt.Fprintf(os.Stderr, "\r\033[K")
+			return ctx.Err()
+		case <-ticker.C:
+			frame++
+			fmt.Fprintf(os.Stderr, "\r\033[90mwaiting for sign in to complete... %s\033[0m", spinnerFrames[frame%len(spinnerFrames)])
+
+			// poll every 10th frame (~2 seconds)
+			if frame%10 == 0 {
+				u, err := client.Whoami(ctx)
+				if err == nil && u != nil && u.Name != "" {
+					fmt.Fprintf(os.Stderr, "\r\033[K\033[A\r\033[K\033[1msigned in:\033[0m %s\n", u.Name)
+					return nil
 				}
 			}
 		}
 	}
-
-	return selected, nil
 }
 
 func runIntegration(name, modelName string, args []string) error {
@@ -231,10 +294,33 @@ func runIntegration(name, modelName string, args []string) error {
 	if !ok {
 		return fmt.Errorf("unknown integration: %s", name)
 	}
+
 	fmt.Fprintf(os.Stderr, "\nLaunching %s with %s...\n", r, modelName)
 	return r.Run(modelName, args)
 }
 
+// syncAliases syncs aliases to server and saves locally for an AliasConfigurer.
+func syncAliases(ctx context.Context, client *api.Client, ac AliasConfigurer, name, model string, existing map[string]string) error {
+	aliases := make(map[string]string)
+	for k, v := range existing {
+		aliases[k] = v
+	}
+	aliases["primary"] = model
+
+	if isCloudModel(ctx, client, model) {
+		if aliases["fast"] == "" || !isCloudModel(ctx, client, aliases["fast"]) {
+			aliases["fast"] = model
+		}
+	} else {
+		delete(aliases, "fast")
+	}
+
+	if err := ac.SetAliases(ctx, aliases); err != nil {
+		return err
+	}
+	return saveAliases(name, aliases)
+}
+
 // LaunchCmd returns the cobra command for launching integrations.
 func LaunchCmd(checkServerHeartbeat func(cmd *cobra.Command, args []string) error) *cobra.Command {
 	var modelFlag string
@@ -302,9 +388,87 @@ Examples:
 				return fmt.Errorf("unknown integration: %s", name)
 			}
 
-			if !configFlag && modelFlag == "" {
-				if config, err := loadIntegration(name); err == nil && len(config.Models) > 0 {
-					return runIntegration(name, config.Models[0], passArgs)
+			// Handle AliasConfigurer integrations (claude, codex)
+			if ac, ok := r.(AliasConfigurer); ok {
+				client, err := api.ClientFromEnvironment()
+				if err != nil {
+					return err
+				}
+
+				// Validate --model flag if provided
+				if modelFlag != "" {
+					if _, err := client.Show(cmd.Context(), &api.ShowRequest{Name: modelFlag}); err != nil {
+						return fmt.Errorf("model %q not found", modelFlag)
+					}
+				}
+
+				var model string
+				var existingAliases map[string]string
+
+				// Load saved config
+				if cfg, err := loadIntegration(name); err == nil {
+					existingAliases = cfg.Aliases
+					if len(cfg.Models) > 0 {
+						model = cfg.Models[0]
+						// AliasConfigurer integrations use single model; sanitize if multiple
+						if len(cfg.Models) > 1 {
+							_ = saveIntegration(name, []string{model})
+						}
+					}
+				}
+
+				// --model flag overrides saved model
+				if modelFlag != "" {
+					model = modelFlag
+				}
+
+				// Validate saved model still exists
+				if model != "" && modelFlag == "" {
+					if _, err := client.Show(cmd.Context(), &api.ShowRequest{Name: model}); err != nil {
+						fmt.Fprintf(os.Stderr, "%sConfigured model %q not found%s\n\n", ansiGray, model, ansiReset)
+						model = ""
+					}
+				}
+
+				// If no valid model or --config flag, show picker
+				if model == "" || configFlag {
+					aliases, _, err := ac.ConfigureAliases(cmd.Context(), model, existingAliases, configFlag)
+					if errors.Is(err, errCancelled) {
+						return nil
+					}
+					if err != nil {
+						return err
+					}
+					model = aliases["primary"]
+					existingAliases = aliases
+				}
+
+				// Sync aliases and save
+				if err := syncAliases(cmd.Context(), client, ac, name, model, existingAliases); err != nil {
+					fmt.Fprintf(os.Stderr, "%sWarning: Could not sync aliases: %v%s\n", ansiGray, err, ansiReset)
+				}
+				if err := saveIntegration(name, []string{model}); err != nil {
+					return fmt.Errorf("failed to save: %w", err)
+				}
+
+				// Launch (unless --config without confirmation)
+				if configFlag {
+					if launch, _ := confirmPrompt(fmt.Sprintf("Launch %s now?", r)); launch {
+						return runIntegration(name, model, passArgs)
+					}
+					return nil
+				}
+				return runIntegration(name, model, passArgs)
+			}
+
+			// Validate --model flag for non-AliasConfigurer integrations
+			if modelFlag != "" {
+				client, err := api.ClientFromEnvironment()
+				if err != nil {
+					return err
+				}
+				if _, err := client.Show(cmd.Context(), &api.ShowRequest{Name: modelFlag}); err != nil {
+					return fmt.Errorf("model %q not found", modelFlag)
 				}
 			}
 
@@ -318,6 +482,8 @@ Examples:
 						}
 					}
 				}
+			} else if saved, err := loadIntegration(name); err == nil && len(saved.Models) > 0 && !configFlag {
+				return runIntegration(name, saved.Models[0], passArgs)
 			} else {
 				var err error
 				models, err = selectModels(cmd.Context(), name, "")
@@ -380,8 +546,9 @@ Examples:
 }
 
 type modelInfo struct {
-	Name   string
-	Remote bool
+	Name        string
+	Remote      bool
+	ToolCapable bool
 }
 
 // buildModelList merges existing models with recommendations, sorts them, and returns
@@ -418,7 +585,7 @@ func buildModelList(existing []modelInfo, preChecked []string, current string) (
 			continue
 		}
 		items = append(items, rec)
-		if isCloudModel(rec.Name) {
+		if strings.HasSuffix(rec.Name, ":cloud") {
 			cloudModels[rec.Name] = true
 		}
 	}
@@ -478,8 +645,16 @@ func buildModelList(existing []modelInfo, preChecked []string, current string) (
 	return items, preChecked, existingModels, cloudModels
 }
 
-func isCloudModel(name string) bool {
-	return strings.HasSuffix(name, ":cloud")
+// isCloudModel checks if a model is a cloud model using the Show API.
+func isCloudModel(ctx context.Context, client *api.Client, name string) bool {
+	if client == nil {
+		return false
+	}
+	resp, err := client.Show(ctx, &api.ShowRequest{Name: name})
+	if err != nil {
+		return false
+	}
+	return resp.RemoteModel != ""
 }
 
 func pullModel(ctx context.Context, client *api.Client, model string) error {

cmd/config/integrations_test.go

@@ -1,6 +1,7 @@
 package config
 
 import (
+	"context"
 	"fmt"
 	"slices"
 	"strings"
@@ -297,24 +298,15 @@ func TestParseArgs(t *testing.T) {
 }
 
 func TestIsCloudModel(t *testing.T) {
-	tests := []struct {
-		name string
-		want bool
-	}{
-		{"glm-4.7:cloud", true},
-		{"kimi-k2.5:cloud", true},
-		{"glm-4.7-flash", false},
-		{"glm-4.7-flash:latest", false},
-		{"cloud-model", false},
-		{"model:cloudish", false},
-	}
-	for _, tt := range tests {
-		t.Run(tt.name, func(t *testing.T) {
-			if got := isCloudModel(tt.name); got != tt.want {
-				t.Errorf("isCloudModel(%q) = %v, want %v", tt.name, got, tt.want)
+	// isCloudModel now only uses Show API, so nil client always returns false
+	t.Run("nil client returns false", func(t *testing.T) {
+		models := []string{"glm-4.7:cloud", "kimi-k2.5:cloud", "local-model"}
+		for _, model := range models {
+			if isCloudModel(context.Background(), nil, model) {
+				t.Errorf("isCloudModel(%q) with nil client should return false", model)
 			}
-		})
-	}
+		}
+	})
 }
 
 func names(items []selectItem) []string {
@@ -509,3 +501,41 @@ func TestBuildModelList_ReturnsExistingAndCloudMaps(t *testing.T) {
 		t.Error("llama3.2 should not be in cloudModels")
 	}
 }
+
+func TestEditorIntegration_SavedConfigSkipsSelection(t *testing.T) {
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	// Save a config for opencode so it looks like a previous launch
+	if err := saveIntegration("opencode", []string{"llama3.2"}); err != nil {
+		t.Fatal(err)
+	}
+
+	// Verify loadIntegration returns the saved models
+	saved, err := loadIntegration("opencode")
+	if err != nil {
+		t.Fatal(err)
+	}
+	if len(saved.Models) == 0 {
+		t.Fatal("expected saved models")
+	}
+	if saved.Models[0] != "llama3.2" {
+		t.Errorf("expected llama3.2, got %s", saved.Models[0])
+	}
+}
+
+func TestAliasConfigurerInterface(t *testing.T) {
+	t.Run("claude implements AliasConfigurer", func(t *testing.T) {
+		claude := &Claude{}
+		if _, ok := interface{}(claude).(AliasConfigurer); !ok {
+			t.Error("Claude should implement AliasConfigurer")
+		}
+	})
+
+	t.Run("codex does not implement AliasConfigurer", func(t *testing.T) {
+		codex := &Codex{}
+		if _, ok := interface{}(codex).(AliasConfigurer); ok {
+			t.Error("Codex should not implement AliasConfigurer")
+		}
+	})
+}

cmd/config/openclaw.go

@@ -17,8 +17,6 @@ type Openclaw struct{}
 
 func (c *Openclaw) String() string { return "OpenClaw" }
 
-const ansiGreen = "\033[32m"
-
 func (c *Openclaw) Run(model string, args []string) error {
 	bin := "openclaw"
 	if _, err := exec.LookPath(bin); err != nil {

cmd/config/opencode.go

@@ -1,6 +1,7 @@
 package config
 
 import (
+	"context"
 	"encoding/json"
 	"fmt"
 	"maps"
@@ -10,12 +11,52 @@ import (
 	"slices"
 	"strings"
 
+	"github.com/ollama/ollama/api"
 	"github.com/ollama/ollama/envconfig"
 )
 
 // OpenCode implements Runner and Editor for OpenCode integration
 type OpenCode struct{}
 
+// cloudModelLimit holds context and output token limits for a cloud model.
+type cloudModelLimit struct {
+	Context int
+	Output  int
+}
+
+// cloudModelLimits maps cloud model base names to their token limits.
+// TODO(parthsareen): grab context/output limits from model info instead of hardcoding
+var cloudModelLimits = map[string]cloudModelLimit{
+	"cogito-2.1:671b":     {Context: 163_840, Output: 65_536},
+	"deepseek-v3.1:671b":  {Context: 163_840, Output: 163_840},
+	"deepseek-v3.2":       {Context: 163_840, Output: 65_536},
+	"glm-4.6":             {Context: 202_752, Output: 131_072},
+	"glm-4.7":             {Context: 202_752, Output: 131_072},
+	"gpt-oss:120b":        {Context: 131_072, Output: 131_072},
+	"gpt-oss:20b":         {Context: 131_072, Output: 131_072},
+	"kimi-k2:1t":          {Context: 262_144, Output: 262_144},
+	"kimi-k2.5":           {Context: 262_144, Output: 262_144},
+	"kimi-k2-thinking":    {Context: 262_144, Output: 262_144},
+	"nemotron-3-nano:30b": {Context: 1_048_576, Output: 131_072},
+	"qwen3-coder:480b":    {Context: 262_144, Output: 65_536},
+	"qwen3-next:80b":      {Context: 262_144, Output: 32_768},
+}
+
+// lookupCloudModelLimit returns the token limits for a cloud model.
+// It tries the exact name first, then strips the ":cloud" suffix.
+func lookupCloudModelLimit(name string) (cloudModelLimit, bool) {
+	if l, ok := cloudModelLimits[name]; ok {
+		return l, true
+	}
+	base := strings.TrimSuffix(name, ":cloud")
+	if base != name {
+		if l, ok := cloudModelLimits[base]; ok {
+			return l, true
+		}
+	}
+	return cloudModelLimit{}, false
+}
+
 func (o *OpenCode) String() string { return "OpenCode" }
 
 func (o *OpenCode) Run(model string, args []string) error {
@@ -113,6 +154,8 @@ func (o *OpenCode) Edit(modelList []string) error {
 		}
 	}
 
+	client, _ := api.ClientFromEnvironment()
+
 	for _, model := range modelList {
 		if existing, ok := models[model].(map[string]any); ok {
 			// migrate existing models without _launch marker
@@ -122,12 +165,29 @@ func (o *OpenCode) Edit(modelList []string) error {
 					existing["name"] = strings.TrimSuffix(name, " [Ollama]")
 				}
 			}
+			if isCloudModel(context.Background(), client, model) {
+				if l, ok := lookupCloudModelLimit(model); ok {
+					existing["limit"] = map[string]any{
+						"context": l.Context,
+						"output":  l.Output,
+					}
+				}
+			}
 			continue
 		}
-		models[model] = map[string]any{
+		entry := map[string]any{
 			"name":    model,
 			"_launch": true,
 		}
+		if isCloudModel(context.Background(), client, model) {
+			if l, ok := lookupCloudModelLimit(model); ok {
+				entry["limit"] = map[string]any{
+					"context": l.Context,
+					"output":  l.Output,
+				}
+			}
+		}
+		models[model] = entry
 	}
 
 	ollama["models"] = models

cmd/config/opencode_test.go

@@ -2,6 +2,7 @@ package config
 
 import (
 	"encoding/json"
+	"fmt"
 	"os"
 	"path/filepath"
 	"testing"
@@ -495,6 +496,165 @@ func TestOpenCodeEdit_SpecialCharsInModelName(t *testing.T) {
 	}
 }
 
+func readOpenCodeModel(t *testing.T, configPath, model string) map[string]any {
+	t.Helper()
+	data, err := os.ReadFile(configPath)
+	if err != nil {
+		t.Fatal(err)
+	}
+	var cfg map[string]any
+	json.Unmarshal(data, &cfg)
+	provider := cfg["provider"].(map[string]any)
+	ollama := provider["ollama"].(map[string]any)
+	models := ollama["models"].(map[string]any)
+	entry, ok := models[model].(map[string]any)
+	if !ok {
+		t.Fatalf("model %s not found in config", model)
+	}
+	return entry
+}
+
+func TestOpenCodeEdit_LocalModelNoLimit(t *testing.T) {
+	o := &OpenCode{}
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	configPath := filepath.Join(tmpDir, ".config", "opencode", "opencode.json")
+
+	if err := o.Edit([]string{"llama3.2"}); err != nil {
+		t.Fatal(err)
+	}
+
+	entry := readOpenCodeModel(t, configPath, "llama3.2")
+	if entry["limit"] != nil {
+		t.Errorf("local model should not have limit set, got %v", entry["limit"])
+	}
+}
+
+func TestOpenCodeEdit_PreservesUserLimit(t *testing.T) {
+	o := &OpenCode{}
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	configDir := filepath.Join(tmpDir, ".config", "opencode")
+	configPath := filepath.Join(configDir, "opencode.json")
+
+	// Set up a model with a user-configured limit
+	os.MkdirAll(configDir, 0o755)
+	os.WriteFile(configPath, []byte(`{
+		"provider": {
+			"ollama": {
+				"models": {
+					"llama3.2": {
+						"name": "llama3.2",
+						"_launch": true,
+						"limit": {"context": 8192, "output": 4096}
+					}
+				}
+			}
+		}
+	}`), 0o644)
+
+	// Re-edit should preserve the user's limit (not delete it)
+	if err := o.Edit([]string{"llama3.2"}); err != nil {
+		t.Fatal(err)
+	}
+
+	entry := readOpenCodeModel(t, configPath, "llama3.2")
+	limit, ok := entry["limit"].(map[string]any)
+	if !ok {
+		t.Fatal("user-configured limit was removed")
+	}
+	if limit["context"] != float64(8192) {
+		t.Errorf("context limit changed: got %v, want 8192", limit["context"])
+	}
+	if limit["output"] != float64(4096) {
+		t.Errorf("output limit changed: got %v, want 4096", limit["output"])
+	}
+}
+
+func TestOpenCodeEdit_CloudModelLimitStructure(t *testing.T) {
+	// Verify that when a cloud model entry has limits set (as Edit would do),
+	// the structure matches what opencode expects and re-edit preserves them.
+	o := &OpenCode{}
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	configDir := filepath.Join(tmpDir, ".config", "opencode")
+	configPath := filepath.Join(configDir, "opencode.json")
+
+	expected := cloudModelLimits["glm-4.7"]
+
+	// Simulate a cloud model that already has the limit set by a previous Edit
+	os.MkdirAll(configDir, 0o755)
+	os.WriteFile(configPath, []byte(fmt.Sprintf(`{
+		"provider": {
+			"ollama": {
+				"models": {
+					"glm-4.7:cloud": {
+						"name": "glm-4.7:cloud",
+						"_launch": true,
+						"limit": {"context": %d, "output": %d}
+					}
+				}
+			}
+		}
+	}`, expected.Context, expected.Output)), 0o644)
+
+	// Re-edit should preserve the cloud model limit
+	if err := o.Edit([]string{"glm-4.7:cloud"}); err != nil {
+		t.Fatal(err)
+	}
+
+	entry := readOpenCodeModel(t, configPath, "glm-4.7:cloud")
+	limit, ok := entry["limit"].(map[string]any)
+	if !ok {
+		t.Fatal("cloud model limit was removed on re-edit")
+	}
+	if limit["context"] != float64(expected.Context) {
+		t.Errorf("context = %v, want %d", limit["context"], expected.Context)
+	}
+	if limit["output"] != float64(expected.Output) {
+		t.Errorf("output = %v, want %d", limit["output"], expected.Output)
+	}
+}
+
+func TestLookupCloudModelLimit(t *testing.T) {
+	tests := []struct {
+		name        string
+		wantOK      bool
+		wantContext int
+		wantOutput  int
+	}{
+		{"glm-4.7", true, 202_752, 131_072},
+		{"glm-4.7:cloud", true, 202_752, 131_072},
+		{"kimi-k2.5", true, 262_144, 262_144},
+		{"kimi-k2.5:cloud", true, 262_144, 262_144},
+		{"deepseek-v3.2", true, 163_840, 65_536},
+		{"deepseek-v3.2:cloud", true, 163_840, 65_536},
+		{"qwen3-coder:480b", true, 262_144, 65_536},
+		{"llama3.2", false, 0, 0},
+		{"unknown-model:cloud", false, 0, 0},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			l, ok := lookupCloudModelLimit(tt.name)
+			if ok != tt.wantOK {
+				t.Errorf("lookupCloudModelLimit(%q) ok = %v, want %v", tt.name, ok, tt.wantOK)
+			}
+			if ok {
+				if l.Context != tt.wantContext {
+					t.Errorf("context = %d, want %d", l.Context, tt.wantContext)
+				}
+				if l.Output != tt.wantOutput {
+					t.Errorf("output = %d, want %d", l.Output, tt.wantOutput)
+				}
+			}
+		})
+	}
+}
+
 func TestOpenCodeModels_NoConfig(t *testing.T) {
 	o := &OpenCode{}
 	tmpDir := t.TempDir()

cmd/config/selector.go

@@ -17,6 +17,7 @@ const (
 	ansiBold       = "\033[1m"
 	ansiReset      = "\033[0m"
 	ansiGray       = "\033[37m"
+	ansiGreen      = "\033[32m"
 	ansiClearDown  = "\033[J"
 )
 

cmd/config/selector_test.go

@@ -96,6 +96,14 @@ func TestSelectState(t *testing.T) {
 		}
 	})
 
+	t.Run("Enter_EmptyFilteredList_EmptyFilter_DoesNothing", func(t *testing.T) {
+		s := newSelectState([]selectItem{})
+		done, result, err := s.handleInput(eventEnter, 0)
+		if done || result != "" || err != nil {
+			t.Errorf("expected (false, '', nil), got (%v, %v, %v)", done, result, err)
+		}
+	})
+
 	t.Run("Escape_ReturnsCancelledError", func(t *testing.T) {
 		s := newSelectState(items)
 		done, result, err := s.handleInput(eventEscape, 0)
@@ -574,8 +582,19 @@ func TestRenderSelect(t *testing.T) {
 		var buf bytes.Buffer
 		renderSelect(&buf, "Select:", s)
 
+		output := buf.String()
+		if !strings.Contains(output, "no matches") {
+			t.Errorf("expected 'no matches' message, got: %s", output)
+		}
+	})
+
+	t.Run("EmptyFilteredList_EmptyFilter_ShowsNoMatches", func(t *testing.T) {
+		s := newSelectState([]selectItem{})
+		var buf bytes.Buffer
+		renderSelect(&buf, "Select:", s)
+
 		if !strings.Contains(buf.String(), "no matches") {
-			t.Error("expected 'no matches' message")
+			t.Error("expected 'no matches' message for empty list with no filter")
 		}
 	})
 

cmd/start_darwin.go

@@ -10,19 +10,21 @@ import (
 	"github.com/ollama/ollama/api"
 )
 
+var errNotRunning = errors.New("could not connect to ollama server, run 'ollama serve' to start it")
+
 func startApp(ctx context.Context, client *api.Client) error {
 	exe, err := os.Executable()
 	if err != nil {
-		return err
+		return errNotRunning
 	}
 	link, err := os.Readlink(exe)
 	if err != nil {
-		return err
+		return errNotRunning
 	}
 	r := regexp.MustCompile(`^.*/Ollama\s?\d*.app`)
 	m := r.FindStringSubmatch(link)
 	if len(m) != 1 {
-		return errors.New("could not find ollama app")
+		return errNotRunning
 	}
 	if err := exec.Command("/usr/bin/open", "-j", "-a", m[0], "--args", "--fast-startup").Run(); err != nil {
 		return err

envconfig/config.go

@@ -188,8 +188,6 @@ func LogLevel() slog.Level {
 var (
 	// FlashAttention enables the experimental flash attention feature.
 	FlashAttention = BoolWithDefault("OLLAMA_FLASH_ATTENTION")
-	// DebugLogRequests logs inference requests to disk for replay/debugging.
-	DebugLogRequests = Bool("OLLAMA_DEBUG_LOG_REQUESTS")
 	// KvCacheType is the quantization type for the K/V cache.
 	KvCacheType = String("OLLAMA_KV_CACHE_TYPE")
 	// NoHistory disables readline history.
@@ -275,27 +273,26 @@ type EnvVar struct {
 
 func AsMap() map[string]EnvVar {
 	ret := map[string]EnvVar{
-		"OLLAMA_DEBUG":              {"OLLAMA_DEBUG", LogLevel(), "Show additional debug information (e.g. OLLAMA_DEBUG=1)"},
-		"OLLAMA_DEBUG_LOG_REQUESTS": {"OLLAMA_DEBUG_LOG_REQUESTS", DebugLogRequests(), "Log inference request bodies and replay curl commands to a temp directory"},
-		"OLLAMA_FLASH_ATTENTION":    {"OLLAMA_FLASH_ATTENTION", FlashAttention(false), "Enabled flash attention"},
-		"OLLAMA_KV_CACHE_TYPE":      {"OLLAMA_KV_CACHE_TYPE", KvCacheType(), "Quantization type for the K/V cache (default: f16)"},
-		"OLLAMA_GPU_OVERHEAD":       {"OLLAMA_GPU_OVERHEAD", GpuOverhead(), "Reserve a portion of VRAM per GPU (bytes)"},
-		"OLLAMA_HOST":               {"OLLAMA_HOST", Host(), "IP Address for the ollama server (default 127.0.0.1:11434)"},
-		"OLLAMA_KEEP_ALIVE":         {"OLLAMA_KEEP_ALIVE", KeepAlive(), "The duration that models stay loaded in memory (default \"5m\")"},
-		"OLLAMA_LLM_LIBRARY":        {"OLLAMA_LLM_LIBRARY", LLMLibrary(), "Set LLM library to bypass autodetection"},
-		"OLLAMA_LOAD_TIMEOUT":       {"OLLAMA_LOAD_TIMEOUT", LoadTimeout(), "How long to allow model loads to stall before giving up (default \"5m\")"},
-		"OLLAMA_MAX_LOADED_MODELS":  {"OLLAMA_MAX_LOADED_MODELS", MaxRunners(), "Maximum number of loaded models per GPU"},
-		"OLLAMA_MAX_QUEUE":          {"OLLAMA_MAX_QUEUE", MaxQueue(), "Maximum number of queued requests"},
-		"OLLAMA_MODELS":             {"OLLAMA_MODELS", Models(), "The path to the models directory"},
-		"OLLAMA_NOHISTORY":          {"OLLAMA_NOHISTORY", NoHistory(), "Do not preserve readline history"},
-		"OLLAMA_NOPRUNE":            {"OLLAMA_NOPRUNE", NoPrune(), "Do not prune model blobs on startup"},
-		"OLLAMA_NUM_PARALLEL":       {"OLLAMA_NUM_PARALLEL", NumParallel(), "Maximum number of parallel requests"},
-		"OLLAMA_ORIGINS":            {"OLLAMA_ORIGINS", AllowedOrigins(), "A comma separated list of allowed origins"},
-		"OLLAMA_SCHED_SPREAD":       {"OLLAMA_SCHED_SPREAD", SchedSpread(), "Always schedule model across all GPUs"},
-		"OLLAMA_MULTIUSER_CACHE":    {"OLLAMA_MULTIUSER_CACHE", MultiUserCache(), "Optimize prompt caching for multi-user scenarios"},
-		"OLLAMA_CONTEXT_LENGTH":     {"OLLAMA_CONTEXT_LENGTH", ContextLength(), "Context length to use unless otherwise specified (default: 4k/32k/256k based on VRAM)"},
-		"OLLAMA_NEW_ENGINE":         {"OLLAMA_NEW_ENGINE", NewEngine(), "Enable the new Ollama engine"},
-		"OLLAMA_REMOTES":            {"OLLAMA_REMOTES", Remotes(), "Allowed hosts for remote models (default \"ollama.com\")"},
+		"OLLAMA_DEBUG":             {"OLLAMA_DEBUG", LogLevel(), "Show additional debug information (e.g. OLLAMA_DEBUG=1)"},
+		"OLLAMA_FLASH_ATTENTION":   {"OLLAMA_FLASH_ATTENTION", FlashAttention(false), "Enabled flash attention"},
+		"OLLAMA_KV_CACHE_TYPE":     {"OLLAMA_KV_CACHE_TYPE", KvCacheType(), "Quantization type for the K/V cache (default: f16)"},
+		"OLLAMA_GPU_OVERHEAD":      {"OLLAMA_GPU_OVERHEAD", GpuOverhead(), "Reserve a portion of VRAM per GPU (bytes)"},
+		"OLLAMA_HOST":              {"OLLAMA_HOST", Host(), "IP Address for the ollama server (default 127.0.0.1:11434)"},
+		"OLLAMA_KEEP_ALIVE":        {"OLLAMA_KEEP_ALIVE", KeepAlive(), "The duration that models stay loaded in memory (default \"5m\")"},
+		"OLLAMA_LLM_LIBRARY":       {"OLLAMA_LLM_LIBRARY", LLMLibrary(), "Set LLM library to bypass autodetection"},
+		"OLLAMA_LOAD_TIMEOUT":      {"OLLAMA_LOAD_TIMEOUT", LoadTimeout(), "How long to allow model loads to stall before giving up (default \"5m\")"},
+		"OLLAMA_MAX_LOADED_MODELS": {"OLLAMA_MAX_LOADED_MODELS", MaxRunners(), "Maximum number of loaded models per GPU"},
+		"OLLAMA_MAX_QUEUE":         {"OLLAMA_MAX_QUEUE", MaxQueue(), "Maximum number of queued requests"},
+		"OLLAMA_MODELS":            {"OLLAMA_MODELS", Models(), "The path to the models directory"},
+		"OLLAMA_NOHISTORY":         {"OLLAMA_NOHISTORY", NoHistory(), "Do not preserve readline history"},
+		"OLLAMA_NOPRUNE":           {"OLLAMA_NOPRUNE", NoPrune(), "Do not prune model blobs on startup"},
+		"OLLAMA_NUM_PARALLEL":      {"OLLAMA_NUM_PARALLEL", NumParallel(), "Maximum number of parallel requests"},
+		"OLLAMA_ORIGINS":           {"OLLAMA_ORIGINS", AllowedOrigins(), "A comma separated list of allowed origins"},
+		"OLLAMA_SCHED_SPREAD":      {"OLLAMA_SCHED_SPREAD", SchedSpread(), "Always schedule model across all GPUs"},
+		"OLLAMA_MULTIUSER_CACHE":   {"OLLAMA_MULTIUSER_CACHE", MultiUserCache(), "Optimize prompt caching for multi-user scenarios"},
+		"OLLAMA_CONTEXT_LENGTH":    {"OLLAMA_CONTEXT_LENGTH", ContextLength(), "Context length to use unless otherwise specified (default: 4k/32k/256k based on VRAM)"},
+		"OLLAMA_NEW_ENGINE":        {"OLLAMA_NEW_ENGINE", NewEngine(), "Enable the new Ollama engine"},
+		"OLLAMA_REMOTES":           {"OLLAMA_REMOTES", Remotes(), "Allowed hosts for remote models (default \"ollama.com\")"},
 
 		// Informational
 		"HTTP_PROXY":  {"HTTP_PROXY", String("HTTP_PROXY")(), "HTTP proxy"},

go.mod

@@ -13,7 +13,7 @@ require (
 	github.com/mattn/go-sqlite3 v1.14.24
 	github.com/olekukonko/tablewriter v0.0.5
 	github.com/spf13/cobra v1.7.0
-	github.com/stretchr/testify v1.9.0
+	github.com/stretchr/testify v1.10.0
 	github.com/x448/float16 v0.8.4
 	golang.org/x/sync v0.17.0
 	golang.org/x/sys v0.37.0
@@ -29,6 +29,8 @@ require (
 	github.com/pdevine/tensor v0.0.0-20240510204454-f88f4562727c
 	github.com/pkg/browser v0.0.0-20240102092130-5ac0b6a4141c
 	github.com/tkrajina/typescriptify-golang-structs v0.2.0
+	github.com/tree-sitter/go-tree-sitter v0.25.0
+	github.com/tree-sitter/tree-sitter-cpp v0.23.4
 	github.com/wk8/go-ordered-map/v2 v2.1.8
 	golang.org/x/image v0.22.0
 	golang.org/x/mod v0.30.0
@@ -50,6 +52,7 @@ require (
 	github.com/google/flatbuffers v24.3.25+incompatible // indirect
 	github.com/kr/text v0.2.0 // indirect
 	github.com/mailru/easyjson v0.7.7 // indirect
+	github.com/mattn/go-pointer v0.0.1 // indirect
 	github.com/pkg/errors v0.9.1 // indirect
 	github.com/pmezard/go-difflib v1.0.0 // indirect
 	github.com/rivo/uniseg v0.2.0 // indirect

go.sum

@@ -152,6 +152,8 @@ github.com/mailru/easyjson v0.7.7 h1:UGYAvKxe3sBsEDzO8ZeWOSlIQfWFlxbzLZe7hwFURr0
 github.com/mailru/easyjson v0.7.7/go.mod h1:xzfreul335JAWq5oZzymOObrkdz5UnU4kGfJJLY9Nlc=
 github.com/mattn/go-isatty v0.0.20 h1:xfD0iDuEKnDkl03q4limB+vH+GxLEtL/jb4xVJSWWEY=
 github.com/mattn/go-isatty v0.0.20/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
+github.com/mattn/go-pointer v0.0.1 h1:n+XhsuGeVO6MEAp7xyEukFINEa+Quek5psIR/ylA6o0=
+github.com/mattn/go-pointer v0.0.1/go.mod h1:2zXcozF6qYGgmsG+SeTZz3oAbFLdD3OWqnUbNvJZAlc=
 github.com/mattn/go-runewidth v0.0.9/go.mod h1:H031xJmbD/WCDINGzjvQ9THkh0rPKHF+m2gUSrubnMI=
 github.com/mattn/go-runewidth v0.0.14 h1:+xnbZSEeDbOIg5/mE6JF0w6n9duR1l3/WmbinWVwUuU=
 github.com/mattn/go-runewidth v0.0.14/go.mod h1:Jdepj2loyihRzMpdS35Xk/zdY8IAYHsh153qUoGf23w=
@@ -206,12 +208,39 @@ github.com/stretchr/testify v1.7.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/
 github.com/stretchr/testify v1.8.0/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU=
 github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4=
 github.com/stretchr/testify v1.8.4/go.mod h1:sz/lmYIOXD/1dqDmKjjqLyZ2RngseejIcXlSw2iwfAo=
-github.com/stretchr/testify v1.9.0 h1:HtqpIVDClZ4nwg75+f6Lvsy/wHu+3BoSGCbBAcpTsTg=
 github.com/stretchr/testify v1.9.0/go.mod h1:r2ic/lqez/lEtzL7wO/rwa5dbSLXVDPFyf8C91i36aY=
+github.com/stretchr/testify v1.10.0 h1:Xv5erBjTwe/5IxqUQTdXv5kgmIvbHo3QQyRwhJsOfJA=
+github.com/stretchr/testify v1.10.0/go.mod h1:r2ic/lqez/lEtzL7wO/rwa5dbSLXVDPFyf8C91i36aY=
 github.com/tkrajina/go-reflector v0.5.5 h1:gwoQFNye30Kk7NrExj8zm3zFtrGPqOkzFMLuQZg1DtQ=
 github.com/tkrajina/go-reflector v0.5.5/go.mod h1:ECbqLgccecY5kPmPmXg1MrHW585yMcDkVl6IvJe64T4=
 github.com/tkrajina/typescriptify-golang-structs v0.2.0 h1:ZedWk82egydDspGTryAatbX0/1NZDQbdiZLoCbOk4f8=
 github.com/tkrajina/typescriptify-golang-structs v0.2.0/go.mod h1:sjU00nti/PMEOZb07KljFlR+lJ+RotsC0GBQMv9EKls=
+github.com/tree-sitter/go-tree-sitter v0.25.0 h1:sx6kcg8raRFCvc9BnXglke6axya12krCJF5xJ2sftRU=
+github.com/tree-sitter/go-tree-sitter v0.25.0/go.mod h1:r77ig7BikoZhHrrsjAnv8RqGti5rtSyvDHPzgTPsUuU=
+github.com/tree-sitter/tree-sitter-c v0.23.4 h1:nBPH3FV07DzAD7p0GfNvXM+Y7pNIoPenQWBpvM++t4c=
+github.com/tree-sitter/tree-sitter-c v0.23.4/go.mod h1:MkI5dOiIpeN94LNjeCp8ljXN/953JCwAby4bClMr6bw=
+github.com/tree-sitter/tree-sitter-cpp v0.23.4 h1:LaWZsiqQKvR65yHgKmnaqA+uz6tlDJTJFCyFIeZU/8w=
+github.com/tree-sitter/tree-sitter-cpp v0.23.4/go.mod h1:doqNW64BriC7WBCQ1klf0KmJpdEvfxyXtoEybnBo6v8=
+github.com/tree-sitter/tree-sitter-embedded-template v0.23.2 h1:nFkkH6Sbe56EXLmZBqHHcamTpmz3TId97I16EnGy4rg=
+github.com/tree-sitter/tree-sitter-embedded-template v0.23.2/go.mod h1:HNPOhN0qF3hWluYLdxWs5WbzP/iE4aaRVPMsdxuzIaQ=
+github.com/tree-sitter/tree-sitter-go v0.23.4 h1:yt5KMGnTHS+86pJmLIAZMWxukr8W7Ae1STPvQUuNROA=
+github.com/tree-sitter/tree-sitter-go v0.23.4/go.mod h1:Jrx8QqYN0v7npv1fJRH1AznddllYiCMUChtVjxPK040=
+github.com/tree-sitter/tree-sitter-html v0.23.2 h1:1UYDV+Yd05GGRhVnTcbP58GkKLSHHZwVaN+lBZV11Lc=
+github.com/tree-sitter/tree-sitter-html v0.23.2/go.mod h1:gpUv/dG3Xl/eebqgeYeFMt+JLOY9cgFinb/Nw08a9og=
+github.com/tree-sitter/tree-sitter-java v0.23.5 h1:J9YeMGMwXYlKSP3K4Us8CitC6hjtMjqpeOf2GGo6tig=
+github.com/tree-sitter/tree-sitter-java v0.23.5/go.mod h1:NRKlI8+EznxA7t1Yt3xtraPk1Wzqh3GAIC46wxvc320=
+github.com/tree-sitter/tree-sitter-javascript v0.23.1 h1:1fWupaRC0ArlHJ/QJzsfQ3Ibyopw7ZfQK4xXc40Zveo=
+github.com/tree-sitter/tree-sitter-javascript v0.23.1/go.mod h1:lmGD1EJdCA+v0S1u2fFgepMg/opzSg/4pgFym2FPGAs=
+github.com/tree-sitter/tree-sitter-json v0.24.8 h1:tV5rMkihgtiOe14a9LHfDY5kzTl5GNUYe6carZBn0fQ=
+github.com/tree-sitter/tree-sitter-json v0.24.8/go.mod h1:F351KK0KGvCaYbZ5zxwx/gWWvZhIDl0eMtn+1r+gQbo=
+github.com/tree-sitter/tree-sitter-php v0.23.11 h1:iHewsLNDmznh8kgGyfWfujsZxIz1YGbSd2ZTEM0ZiP8=
+github.com/tree-sitter/tree-sitter-php v0.23.11/go.mod h1:T/kbfi+UcCywQfUNAJnGTN/fMSUjnwPXA8k4yoIks74=
+github.com/tree-sitter/tree-sitter-python v0.23.6 h1:qHnWFR5WhtMQpxBZRwiaU5Hk/29vGju6CVtmvu5Haas=
+github.com/tree-sitter/tree-sitter-python v0.23.6/go.mod h1:cpdthSy/Yoa28aJFBscFHlGiU+cnSiSh1kuDVtI8YeM=
+github.com/tree-sitter/tree-sitter-ruby v0.23.1 h1:T/NKHUA+iVbHM440hFx+lzVOzS4dV6z8Qw8ai+72bYo=
+github.com/tree-sitter/tree-sitter-ruby v0.23.1/go.mod h1:kUS4kCCQloFcdX6sdpr8p6r2rogbM6ZjTox5ZOQy8cA=
+github.com/tree-sitter/tree-sitter-rust v0.23.2 h1:6AtoooCW5GqNrRpfnvl0iUhxTAZEovEmLKDbyHlfw90=
+github.com/tree-sitter/tree-sitter-rust v0.23.2/go.mod h1:hfeGWic9BAfgTrc7Xf6FaOAguCFJRo3RBbs7QJ6D7MI=
 github.com/twitchyliquid64/golang-asm v0.15.1 h1:SU5vSMR7hnwNxj24w34ZyCi/FmDZTkS4MhqMhdFk5YI=
 github.com/twitchyliquid64/golang-asm v0.15.1/go.mod h1:a1lVb/DtPvCB8fslRZhAngC2+aY1QWCk3Cedj/Gdt08=
 github.com/ugorji/go/codec v1.2.12 h1:9LC83zGrHhuUA9l16C9AHXAqEV/2wBQ4nkvumAE65EE=

llm/server.go

@@ -34,6 +34,7 @@ import (
 	"github.com/ollama/ollama/logutil"
 	"github.com/ollama/ollama/ml"
 	"github.com/ollama/ollama/model"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type filteredEnv []string
@@ -116,7 +117,7 @@ type llamaServer struct {
 type ollamaServer struct {
 	llmServer
 
-	textProcessor model.TextProcessor // textProcessor handles text encoding/decoding
+	tokenizer tokenizer.Tokenizer // tokenizer handles text encoding/decoding
 }
 
 // LoadModel will load a model from disk. The model must be in the GGML format.
@@ -142,11 +143,11 @@ func LoadModel(model string, maxArraySize int) (*ggml.GGML, error) {
 // NewLlamaServer will run a server for the given GPUs
 func NewLlamaServer(systemInfo ml.SystemInfo, gpus []ml.DeviceInfo, modelPath string, f *ggml.GGML, adapters, projectors []string, opts api.Options, numParallel int) (LlamaServer, error) {
 	var llamaModel *llama.Model
-	var textProcessor model.TextProcessor
+	var tok tokenizer.Tokenizer
 	var err error
 	if envconfig.NewEngine() || f.KV().OllamaEngineRequired() {
 		if len(projectors) == 0 {
-			textProcessor, err = model.NewTextProcessor(modelPath)
+			tok, err = model.NewTextProcessor(modelPath)
 		} else {
 			err = errors.New("split vision models aren't supported")
 		}
@@ -155,7 +156,7 @@ func NewLlamaServer(systemInfo ml.SystemInfo, gpus []ml.DeviceInfo, modelPath st
 			slog.Debug("model not yet supported by Ollama engine, switching to compatibility mode", "model", modelPath, "error", err)
 		}
 	}
-	if textProcessor == nil {
+	if tok == nil {
 		llamaModel, err = llama.LoadModelFromFile(modelPath, llama.ModelParams{VocabOnly: true})
 		if err != nil {
 			return nil, err
@@ -211,7 +212,7 @@ func NewLlamaServer(systemInfo ml.SystemInfo, gpus []ml.DeviceInfo, modelPath st
 
 	kvct := strings.ToLower(envconfig.KvCacheType())
 
-	if textProcessor == nil {
+	if tok == nil {
 		flashAttention := ml.FlashAttentionAuto
 		if faUserSet {
 			if fa {
@@ -261,7 +262,7 @@ func NewLlamaServer(systemInfo ml.SystemInfo, gpus []ml.DeviceInfo, modelPath st
 	gpuLibs := ml.LibraryPaths(gpus)
 	status := NewStatusWriter(os.Stderr)
 	cmd, port, err := StartRunner(
-		textProcessor != nil,
+		tok != nil,
 		modelPath,
 		gpuLibs,
 		status,
@@ -310,8 +311,8 @@ func NewLlamaServer(systemInfo ml.SystemInfo, gpus []ml.DeviceInfo, modelPath st
 		}
 	}()
 
-	if textProcessor != nil {
-		return &ollamaServer{llmServer: s, textProcessor: textProcessor}, nil
+	if tok != nil {
+		return &ollamaServer{llmServer: s, tokenizer: tok}, nil
 	} else {
 		return &llamaServer{llmServer: s, ggml: f}, nil
 	}
@@ -1774,7 +1775,7 @@ func (s *llamaServer) Tokenize(ctx context.Context, content string) ([]int, erro
 }
 
 func (s *ollamaServer) Tokenize(ctx context.Context, content string) ([]int, error) {
-	tokens, err := s.textProcessor.Encode(content, false)
+	tokens, err := s.tokenizer.Encode(content, false)
 	if err != nil {
 		return nil, err
 	}
@@ -1809,7 +1810,7 @@ func (s *ollamaServer) Detokenize(ctx context.Context, tokens []int) (string, er
 		toks[i] = int32(t)
 	}
 
-	content, err := s.textProcessor.Decode(toks)
+	content, err := s.tokenizer.Decode(toks)
 	if err != nil {
 		return "", err
 	}

middleware/anthropic.go

@@ -131,12 +131,15 @@ func AnthropicMessagesMiddleware() gin.HandlerFunc {
 
 		messageID := anthropic.GenerateMessageID()
 
+		// Estimate input tokens for streaming (actual count not available until generation completes)
+		estimatedTokens := anthropic.EstimateInputTokens(req)
+
 		w := &AnthropicWriter{
 			BaseWriter: BaseWriter{ResponseWriter: c.Writer},
 			stream:     req.Stream,
 			id:         messageID,
 			model:      req.Model,
-			converter:  anthropic.NewStreamConverter(messageID, req.Model),
+			converter:  anthropic.NewStreamConverter(messageID, req.Model, estimatedTokens),
 		}
 
 		if req.Stream {

model/bytepairencoding.go

@@ -1,272 +0,0 @@
-package model
-
-import (
-	"cmp"
-	"iter"
-	"slices"
-	"strings"
-
-	"github.com/dlclark/regexp2"
-	heap "github.com/emirpasic/gods/v2/trees/binaryheap"
-	"github.com/ollama/ollama/logutil"
-)
-
-type BytePairEncoding struct {
-	vocab   *Vocabulary
-	regexps []*regexp2.Regexp
-}
-
-var _ TextProcessor = (*BytePairEncoding)(nil)
-
-func NewBytePairEncoding(vocab *Vocabulary, pretokenizers ...string) BytePairEncoding {
-	if len(pretokenizers) == 0 {
-		// set default byte-level pretokenizer if none provided, e.g.
-		// https://github.com/huggingface/tokenizers/blob/main/tokenizers/src/pre_tokenizers/byte_level.rs#L44
-		pretokenizers = []string{`'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+`}
-	}
-
-	return BytePairEncoding{
-		vocab: vocab,
-		regexps: slices.Collect(func(yield func(*regexp2.Regexp) bool) {
-			for _, p := range pretokenizers {
-				if !yield(regexp2.MustCompile(p, regexp2.RE2)) {
-					return
-				}
-			}
-		}),
-	}
-}
-
-func (bpe BytePairEncoding) Vocabulary() *Vocabulary {
-	return bpe.vocab
-}
-
-func (bpe BytePairEncoding) Is(id int32, special Special) bool {
-	return bpe.vocab.Is(id, special)
-}
-
-func (bpe *BytePairEncoding) split(s string) iter.Seq[string] {
-	parts := []string{s}
-	for _, re := range bpe.regexps {
-		parts = slices.Collect(func(yield func(string) bool) {
-			for _, part := range parts {
-				r := []rune(part)
-				var offset int
-				for m, _ := re.FindRunesMatch(r); m != nil; m, _ = re.FindNextMatch(m) {
-					if offset-m.Index != 0 {
-						if !yield(string(r[:m.Index])) {
-							return
-						}
-					}
-
-					if !yield(m.String()) {
-						return
-					}
-
-					offset = m.Index + m.Length
-				}
-
-				if offset < len(r) {
-					if !yield(string(r[offset:])) {
-						return
-					}
-				}
-			}
-		})
-	}
-
-	return slices.Values(parts)
-}
-
-// fragment is a string fragment and their corresponding token IDs
-type fragment struct {
-	value string
-	ids   []int32
-}
-
-// pair is a pair of runes and its rank
-type pair struct {
-	a, b  int
-	rank  int
-	value string
-}
-
-type merge struct {
-	p, n  int
-	runes []rune
-}
-
-func (bpe BytePairEncoding) Encode(s string, addSpecial bool) ([]int32, error) {
-	fragments := []fragment{{value: s}}
-	for _, special := range bpe.vocab.SpecialVocabulary() {
-		// TODO: process special tokens concurrently
-		id := bpe.vocab.Encode(special)
-		for i := 0; i < len(fragments); i++ {
-			frag := fragments[i]
-			if len(frag.ids) > 0 {
-				continue
-			}
-
-			var middle []fragment
-			switch i := strings.Index(frag.value, special); {
-			case i < 0:
-				middle = append(middle, frag)
-			case i > 0:
-				middle = append(middle, fragment{value: frag.value[:i]})
-				fallthrough
-			default:
-				middle = append(middle, fragment{value: special, ids: []int32{id}})
-				if rest := frag.value[i+len(special):]; rest != "" {
-					middle = append(middle, fragment{value: rest})
-				}
-			}
-
-			fragments = append(fragments[:i], append(middle, fragments[i+1:]...)...)
-		}
-	}
-
-	var ids []int32
-	for _, frag := range fragments {
-		if len(frag.ids) > 0 {
-			ids = append(ids, frag.ids...)
-			continue
-		}
-
-		for split := range bpe.split(frag.value) {
-			// TODO: process splits concurrently
-			var sb strings.Builder
-			for _, b := range []byte(split) {
-				r := rune(b)
-				switch {
-				case r == 0x00ad:
-					r = 0x0143
-				case r <= 0x0020:
-					r = r + 0x0100
-				case r >= 0x007f && r <= 0x00a0:
-					r = r + 0x00a2
-				}
-
-				sb.WriteRune(r)
-			}
-
-			// short circuit if the fragment is in the vocabulary
-			if id := bpe.vocab.Encode(sb.String()); id >= 0 {
-				ids = append(ids, id)
-				continue
-			}
-
-			runes := []rune(sb.String())
-			merges := make([]merge, len(runes))
-			for r := range runes {
-				merges[r] = merge{
-					p:     r - 1,
-					n:     r + 1,
-					runes: []rune{runes[r]},
-				}
-			}
-
-			pairwise := func(a, b int) *pair {
-				if a < 0 || b >= len(runes) {
-					return nil
-				}
-
-				left, right := string(merges[a].runes), string(merges[b].runes)
-				rank := bpe.vocab.Merge(left, right)
-				if rank < 0 {
-					return nil
-				}
-
-				return &pair{
-					a:     a,
-					b:     b,
-					rank:  rank,
-					value: left + right,
-				}
-			}
-
-			pairs := heap.NewWith(func(i, j *pair) int {
-				return cmp.Compare(i.rank, j.rank)
-			})
-
-			for i := range len(runes) - 1 {
-				if pair := pairwise(i, i+1); pair != nil {
-					pairs.Push(pair)
-				}
-			}
-
-			for !pairs.Empty() {
-				pair, _ := pairs.Pop()
-
-				left, right := merges[pair.a], merges[pair.b]
-				if len(left.runes) == 0 || len(right.runes) == 0 ||
-					string(left.runes)+string(right.runes) != pair.value {
-					continue
-				}
-
-				if id := bpe.vocab.Encode(pair.value); id < 0 {
-					continue
-				}
-
-				merges[pair.a].runes = append(left.runes, right.runes...)
-				merges[pair.b].runes = nil
-
-				merges[pair.a].n = right.n
-				if right.n < len(merges) {
-					merges[right.n].p = pair.a
-				}
-
-				if pair := pairwise(merges[pair.a].p, pair.a); pair != nil {
-					pairs.Push(pair)
-				}
-
-				if pair := pairwise(pair.a, merges[pair.a].n); pair != nil {
-					pairs.Push(pair)
-				}
-			}
-
-			for _, merge := range merges {
-				if len(merge.runes) > 0 {
-					// TODO: handle the edge case where the rune isn't in the vocabulary
-					if id := bpe.vocab.Encode(string(merge.runes)); id >= 0 {
-						ids = append(ids, id)
-					}
-				}
-			}
-		}
-	}
-
-	if addSpecial {
-		ids = bpe.vocab.addSpecials(ids)
-	}
-
-	logutil.Trace("encoded", "string", s, "ids", ids)
-	return ids, nil
-}
-
-func (bpe BytePairEncoding) Decode(ids []int32) (string, error) {
-	var sb strings.Builder
-	for _, id := range ids {
-		for _, r := range bpe.vocab.Decode(id) {
-			switch {
-			case r == 0x0100:
-				// this produces 0x00 aka NULL
-				continue
-			case r == 0x0143:
-				r = 0x00ad
-			case r > 0x0100 && r <= 0x0120:
-				r = r - 0x0100
-			case r > 0x0120 && r <= 0x0142:
-				r = r - 0x00a2
-			}
-
-			// NOTE: not using WriteRune here because it writes the UTF-8
-			// encoding of the rune which is _not_ what we want
-			if err := sb.WriteByte(byte(r)); err != nil {
-				return "", err
-			}
-		}
-	}
-
-	logutil.Trace("decoded", "string", sb.String(), "from", ids)
-	return sb.String(), nil
-}

model/model.go

@@ -23,6 +23,7 @@ import (
 	_ "github.com/ollama/ollama/ml/backend"
 	"github.com/ollama/ollama/ml/nn/pooling"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 var (
@@ -133,7 +134,7 @@ func New(modelPath string, params ml.BackendParams) (Model, error) {
 	return m, nil
 }
 
-func NewTextProcessor(s string) (TextProcessor, error) {
+func NewTextProcessor(s string) (tokenizer.Tokenizer, error) {
 	r, err := os.Open(s)
 	if err != nil {
 		return nil, err
@@ -150,7 +151,7 @@ func NewTextProcessor(s string) (TextProcessor, error) {
 		return nil, err
 	}
 
-	tp, ok := m.(TextProcessor)
+	tp, ok := m.(tokenizer.Tokenizer)
 	if !ok {
 		return nil, ErrUnsupportedTokenizer
 	}

model/models/bert/embed.go

@@ -10,11 +10,12 @@ import (
 	"github.com/ollama/ollama/ml/nn/pooling"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Model struct {
 	model.Base
-	model.TextProcessor
+	tokenizer.Tokenizer
 
 	TokenEmbedding     *nn.Embedding `gguf:"token_embd"`
 	TypeEmbedding      *nn.Embedding `gguf:"token_types"`
@@ -129,7 +130,7 @@ func (o Options) headDim() int {
 }
 
 func New(c fs.Config) (model.Model, error) {
-	vocab := &model.Vocabulary{
+	vocab := &tokenizer.Vocabulary{
 		Values: c.Strings("tokenizer.ggml.tokens"),
 		Scores: c.Floats("tokenizer.ggml.scores"),
 		Types:  c.Ints("tokenizer.ggml.token_type"),
@@ -153,17 +154,17 @@ func New(c fs.Config) (model.Model, error) {
 		},
 	}
 
-	var processor model.TextProcessor
+	var t tokenizer.Tokenizer
 	switch c.String("tokenizer.ggml.model", "bert") {
 	case "bert":
-		processor = model.NewWordPiece(vocab, true)
+		t = tokenizer.NewWordPiece(vocab, true)
 	default:
 		return nil, model.ErrUnsupportedTokenizer
 	}
 
 	return &Model{
-		TextProcessor: processor,
-		Layers:        make([]EncoderLayer, c.Uint("block_count")),
+		Tokenizer: t,
+		Layers:    make([]EncoderLayer, c.Uint("block_count")),
 		Options: Options{
 			hiddenSize:  int(c.Uint("embedding_length")),
 			numHeads:    int(c.Uint("attention.head_count")),

model/models/deepseek2/model.go

@@ -13,6 +13,7 @@ import (
 	"github.com/ollama/ollama/ml/nn/rope"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Options struct {
@@ -222,7 +223,7 @@ func (t *Layer) Forward(ctx ml.Context, hiddenStates, positions, outputs ml.Tens
 
 type Model struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 
 	TokenEmbedding *nn.Embedding `gguf:"token_embd"`
 	Layers         []Layer       `gguf:"blk"`
@@ -277,8 +278,8 @@ func New(c fs.Config) (model.Model, error) {
 	}
 
 	m := Model{
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/deepseekocr/model.go

@@ -10,11 +10,12 @@ import (
 	"github.com/ollama/ollama/ml/nn"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Model struct {
 	model.Base
-	model.TextProcessor
+	tokenizer.Tokenizer
 
 	Sam    *samModel    `gguf:"s"`
 	Vision *visionModel `gguf:"v"`
@@ -134,8 +135,8 @@ func init() {
 		}
 
 		m := Model{
-			TextProcessor: model.NewBytePairEncoding(
-				&model.Vocabulary{
+			Tokenizer: tokenizer.NewBytePairEncoding(
+				&tokenizer.Vocabulary{
 					Values: c.Strings("tokenizer.ggml.tokens"),
 					Types:  c.Ints("tokenizer.ggml.token_type"),
 					Merges: c.Strings("tokenizer.ggml.merges"),

model/models/gemma2/model.go

@@ -10,6 +10,7 @@ import (
 	"github.com/ollama/ollama/ml/nn/rope"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Options struct {
@@ -27,7 +28,7 @@ func (o Options) applyRotaryPositionEmbeddings(ctx ml.Context, states, positions
 
 type Model struct {
 	model.Base
-	model.SentencePiece
+	tokenizer.Tokenizer
 
 	TokenEmbedding *nn.Embedding `gguf:"token_embd"`
 	Layers         []Layer       `gguf:"blk"`
@@ -43,8 +44,8 @@ const (
 
 func New(c fs.Config) (model.Model, error) {
 	m := Model{
-		SentencePiece: model.NewSentencePiece(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewSentencePiece(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Scores: c.Floats("tokenizer.ggml.scores"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),

model/models/gemma3/embed.go

@@ -7,11 +7,12 @@ import (
 	"github.com/ollama/ollama/ml/nn/pooling"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type embedModel struct {
 	model.Base
-	model.SentencePiece
+	tokenizer.Tokenizer
 
 	*TextModel
 	poolingType pooling.Type
@@ -31,8 +32,8 @@ func (m *embedModel) Forward(ctx ml.Context, batch input.Batch) (ml.Tensor, erro
 
 func newEmbedModel(c fs.Config) (model.Model, error) {
 	m := &embedModel{
-		SentencePiece: model.NewSentencePiece(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewSentencePiece(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Scores: c.Floats("tokenizer.ggml.scores"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),

model/models/gemma3/model.go

@@ -12,11 +12,12 @@ import (
 	"github.com/ollama/ollama/ml/nn"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Model struct {
 	model.Base
-	model.TextProcessor
+	tokenizer.Tokenizer
 
 	*VisionModel `gguf:"v"`
 	*TextModel
@@ -54,7 +55,7 @@ func (p *MultiModalProjector) Forward(ctx ml.Context, visionOutputs ml.Tensor, i
 }
 
 func New(c fs.Config) (model.Model, error) {
-	vocabulary := model.Vocabulary{
+	vocabulary := tokenizer.Vocabulary{
 		Values: c.Strings("tokenizer.ggml.tokens"),
 		Scores: c.Floats("tokenizer.ggml.scores"),
 		Types:  c.Ints("tokenizer.ggml.token_type"),
@@ -70,19 +71,19 @@ func New(c fs.Config) (model.Model, error) {
 		),
 	}
 
-	var processor model.TextProcessor
+	var t tokenizer.Tokenizer
 	switch c.String("tokenizer.ggml.model") {
 	case "gpt2":
-		processor = model.NewBytePairEncoding(&vocabulary)
+		t = tokenizer.NewBytePairEncoding(&vocabulary)
 	default:
 		// Previous uploads of Gemma 3 on Ollama did not have token 106
 		// (i.e. "<end_of_turn>") so we need to add in case it's not already present
 		vocabulary.EOS = append(vocabulary.EOS, int32(c.Uint("tokenizer.ggml.eot_token_id", 106)))
-		processor = model.NewSentencePiece(&vocabulary)
+		t = tokenizer.NewSentencePiece(&vocabulary)
 	}
 
 	m := Model{
-		TextProcessor:  processor,
+		Tokenizer:      t,
 		ImageProcessor: newImageProcessor(c),
 		VisionModel:    newVisionModel(c),
 		TextModel:      newTextModel(c),

model/models/gemma3n/model.go

@@ -6,11 +6,12 @@ import (
 	"github.com/ollama/ollama/ml"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Model struct {
 	model.Base
-	model.SentencePiece
+	tokenizer.Tokenizer
 
 	*TextModel
 }
@@ -23,8 +24,8 @@ func (m *Model) Forward(ctx ml.Context, batch input.Batch) (ml.Tensor, error) {
 func New(c fs.Config) (model.Model, error) {
 	m := Model{
 		TextModel: newTextModel(c),
-		SentencePiece: model.NewSentencePiece(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewSentencePiece(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Scores: c.Floats("tokenizer.ggml.scores"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),

model/models/glm4moelite/model.go

@@ -10,6 +10,7 @@ import (
 	"github.com/ollama/ollama/ml/nn"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 var ErrOldModelFormat = errors.New("this model uses a weight format that is no longer supported; please re-download it")
@@ -198,7 +199,7 @@ func (t *Layer) Forward(ctx ml.Context, hiddenStates, positions, outputs ml.Tens
 
 type Model struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 
 	TokenEmbedding *nn.Embedding `gguf:"token_embd"`
 	Layers         []Layer       `gguf:"blk"`
@@ -236,8 +237,8 @@ func New(c fs.Config) (model.Model, error) {
 	}
 
 	m := Model{
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/glmocr/model.go

@@ -11,11 +11,12 @@ import (
 	"github.com/ollama/ollama/ml"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Model struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 
 	*TextModel
 	*VisionModel     `gguf:"v"`
@@ -37,8 +38,8 @@ func New(c fs.Config) (model.Model, error) {
 	allEOS := append([]int32{eosTokenID}, eosTokenIDs...)
 
 	m := &Model{
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/gptoss/model.go

@@ -12,11 +12,12 @@ import (
 	"github.com/ollama/ollama/ml/nn/rope"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Transformer struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 
 	TokenEmbedding    *nn.Embedding      `gguf:"token_embd"`
 	TransformerBlocks []TransformerBlock `gguf:"blk"`
@@ -196,8 +197,8 @@ func (mlp *MLPBlock) Forward(ctx ml.Context, hiddenStates ml.Tensor, opts *Optio
 func New(c fs.Config) (model.Model, error) {
 	m := Transformer{
 		TransformerBlocks: make([]TransformerBlock, c.Uint("block_count")),
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/lfm2/model.go

@@ -10,6 +10,7 @@ import (
 	"github.com/ollama/ollama/ml/nn/rope"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Options struct {
@@ -59,7 +60,7 @@ func (o Options) applyRotaryPositionEmbeddings(ctx ml.Context, states, positions
 
 type Model struct {
 	model.Base
-	model.TextProcessor
+	tokenizer.Tokenizer
 
 	TokenEmbedding *nn.Embedding `gguf:"token_embd"`
 	Layers         []Layer       `gguf:"blk"`
@@ -78,7 +79,7 @@ func New(c fs.Config) (model.Model, error) {
 		return nil, model.ErrUnsupportedTokenizer
 	}
 
-	vocabulary := model.Vocabulary{
+	vocabulary := tokenizer.Vocabulary{
 		Values: c.Strings("tokenizer.ggml.tokens"),
 		Scores: c.Floats("tokenizer.ggml.scores"),
 		Types:  c.Ints("tokenizer.ggml.token_type"),
@@ -104,8 +105,8 @@ func New(c fs.Config) (model.Model, error) {
 	}
 
 	m := Model{
-		TextProcessor: model.NewBytePairEncoding(&vocabulary, pretokenizers...),
-		Layers:        make([]Layer, c.Uint("block_count")),
+		Tokenizer: tokenizer.NewBytePairEncoding(&vocabulary, pretokenizers...),
+		Layers:    make([]Layer, c.Uint("block_count")),
 		Options: Options{
 			hiddenSize:            int(c.Uint("embedding_length")),
 			headDim:               int(c.Uint("attention.key_length")),

model/models/llama/model.go

@@ -11,6 +11,7 @@ import (
 	"github.com/ollama/ollama/ml/nn/rope"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Options struct {
@@ -25,7 +26,7 @@ func (o Options) applyRotaryPositionEmbeddings(ctx ml.Context, states, positions
 
 type Model struct {
 	model.Base
-	model.TextProcessor
+	tokenizer.Tokenizer
 
 	TokenEmbedding *nn.Embedding `gguf:"token_embd"`
 	Layers         []Layer       `gguf:"blk"`
@@ -41,8 +42,8 @@ func New(c fs.Config) (model.Model, error) {
 		return nil, model.ErrUnsupportedModel
 	}
 
-	var processor model.TextProcessor
-	vocabulary := model.Vocabulary{
+	var processor tokenizer.Tokenizer
+	vocabulary := tokenizer.Vocabulary{
 		Values: c.Strings("tokenizer.ggml.tokens"),
 		Scores: c.Floats("tokenizer.ggml.scores"),
 		Types:  c.Ints("tokenizer.ggml.token_type"),
@@ -80,16 +81,16 @@ func New(c fs.Config) (model.Model, error) {
 				"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
 			}
 		}
-		processor = model.NewBytePairEncoding(&vocabulary, pretokenizers...)
+		processor = tokenizer.NewBytePairEncoding(&vocabulary, pretokenizers...)
 	case "llama":
-		processor = model.NewSentencePiece(&vocabulary)
+		processor = tokenizer.NewSentencePiece(&vocabulary)
 	default:
 		return nil, model.ErrUnsupportedTokenizer
 	}
 
 	m := Model{
-		TextProcessor: processor,
-		Layers:        make([]Layer, c.Uint("block_count")),
+		Tokenizer: processor,
+		Layers:    make([]Layer, c.Uint("block_count")),
 		Options: Options{
 			hiddenSize: int(c.Uint("embedding_length")),
 			numHeads:   int(c.Uint("attention.head_count")),

model/models/llama4/model.go

@@ -11,11 +11,12 @@ import (
 	"github.com/ollama/ollama/ml/nn"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Model struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 	ImageProcessor
 
 	*VisionModel `gguf:"v"`
@@ -33,8 +34,8 @@ func (p *Projector) Forward(ctx ml.Context, visionOutputs ml.Tensor) ml.Tensor {
 
 func New(c fs.Config) (model.Model, error) {
 	m := Model{
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/mistral3/model.go

@@ -11,11 +11,12 @@ import (
 	"github.com/ollama/ollama/ml/nn"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Model struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 
 	*TextModel
 	*VisionModel         `gguf:"v"`
@@ -28,12 +29,12 @@ type Model struct {
 var _ model.MultimodalProcessor = (*Model)(nil)
 
 // Implement TextProcessor interface
-var _ model.TextProcessor = (*Model)(nil)
+var _ tokenizer.Tokenizer = (*Model)(nil)
 
 func New(c fs.Config) (model.Model, error) {
 	m := &Model{
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/mllama/model.go

@@ -11,11 +11,12 @@ import (
 	"github.com/ollama/ollama/ml/nn"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Model struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 
 	*VisionModel `gguf:"v"`
 	*TextModel
@@ -32,8 +33,8 @@ const (
 
 func New(c fs.Config) (model.Model, error) {
 	m := Model{
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/nomicbert/model.go

@@ -11,11 +11,12 @@ import (
 	"github.com/ollama/ollama/ml/nn/rope"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Model struct {
 	model.Base
-	model.TextProcessor
+	tokenizer.Tokenizer
 
 	TokenEmbedding     *nn.Embedding `gguf:"token_embd"`
 	TypeEmbedding      *nn.Embedding `gguf:"token_types"`
@@ -178,29 +179,6 @@ func New(c fs.Config) (model.Model, error) {
 	numHeads := int(c.Uint("attention.head_count"))
 	headDim := hiddenSize / numHeads
 
-	processor := model.NewWordPiece(
-		&model.Vocabulary{
-			Values: c.Strings("tokenizer.ggml.tokens"),
-			Scores: c.Floats("tokenizer.ggml.scores"),
-			Types:  c.Ints("tokenizer.ggml.token_type"),
-			AddBOS: c.Bool("tokenizer.ggml.add_bos_token", true),
-			BOS: []int32{
-				int32(cmp.Or(
-					c.Uint("tokenizer.ggml.cls_token_id"),
-					c.Uint("tokenizer.ggml.bos_token_id"),
-				)),
-			},
-			AddEOS: c.Bool("tokenizer.ggml.add_eos_token", true),
-			EOS: []int32{
-				int32(cmp.Or(
-					c.Uint("tokenizer.ggml.separator_token_id"),
-					c.Uint("tokenizer.ggml.eos_token_id"),
-				)),
-			},
-		},
-		false,
-	)
-
 	blockCount := int(c.Uint("block_count"))
 	moeEveryNLayers := int(c.Uint("moe_every_n_layers", 0))
 	layers := make([]EncoderLayer, blockCount)
@@ -219,8 +197,29 @@ func New(c fs.Config) (model.Model, error) {
 	}
 
 	return &Model{
-		TextProcessor: processor,
-		Layers:        layers,
+		Tokenizer: tokenizer.NewWordPiece(
+			&tokenizer.Vocabulary{
+				Values: c.Strings("tokenizer.ggml.tokens"),
+				Scores: c.Floats("tokenizer.ggml.scores"),
+				Types:  c.Ints("tokenizer.ggml.token_type"),
+				AddBOS: c.Bool("tokenizer.ggml.add_bos_token", true),
+				BOS: []int32{
+					int32(cmp.Or(
+						c.Uint("tokenizer.ggml.cls_token_id"),
+						c.Uint("tokenizer.ggml.bos_token_id"),
+					)),
+				},
+				AddEOS: c.Bool("tokenizer.ggml.add_eos_token", true),
+				EOS: []int32{
+					int32(cmp.Or(
+						c.Uint("tokenizer.ggml.separator_token_id"),
+						c.Uint("tokenizer.ggml.eos_token_id"),
+					)),
+				},
+			},
+			false,
+		),
+		Layers: layers,
 		Options: Options{
 			hiddenSize:      hiddenSize,
 			numHeads:        numHeads,

model/models/olmo3/model.go

@@ -11,6 +11,7 @@ import (
 	"github.com/ollama/ollama/ml/nn/rope"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 const (
@@ -33,7 +34,7 @@ type Options struct {
 
 type Model struct {
 	model.Base
-	model.TextProcessor
+	tokenizer.Tokenizer
 
 	TokenEmbedding *nn.Embedding `gguf:"token_embd"`
 	Layers         []Layer       `gguf:"blk"`
@@ -44,28 +45,24 @@ type Model struct {
 }
 
 func New(c fs.Config) (model.Model, error) {
-	vocabulary := model.Vocabulary{
-		Values: c.Strings("tokenizer.ggml.tokens"),
-		Scores: c.Floats("tokenizer.ggml.scores"),
-		Types:  c.Ints("tokenizer.ggml.token_type"),
-		Merges: c.Strings("tokenizer.ggml.merges"),
-		AddBOS: c.Bool("tokenizer.ggml.add_bos_token", false),
-		BOS:    []int32{int32(c.Uint("tokenizer.ggml.bos_token_id"))},
-		AddEOS: c.Bool("tokenizer.ggml.add_eos_token", false),
-		EOS: append(
-			[]int32{int32(c.Uint("tokenizer.ggml.eos_token_id"))},
-			c.Ints("tokenizer.ggml.eos_token_ids")...,
-		),
-	}
-
-	processor := model.NewBytePairEncoding(
-		&vocabulary,
-		"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
-	)
-
 	m := Model{
-		TextProcessor: processor,
-		Layers:        make([]Layer, c.Uint("block_count")),
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
+				Values: c.Strings("tokenizer.ggml.tokens"),
+				Scores: c.Floats("tokenizer.ggml.scores"),
+				Types:  c.Ints("tokenizer.ggml.token_type"),
+				Merges: c.Strings("tokenizer.ggml.merges"),
+				AddBOS: c.Bool("tokenizer.ggml.add_bos_token", false),
+				BOS:    []int32{int32(c.Uint("tokenizer.ggml.bos_token_id"))},
+				AddEOS: c.Bool("tokenizer.ggml.add_eos_token", false),
+				EOS: append(
+					[]int32{int32(c.Uint("tokenizer.ggml.eos_token_id"))},
+					c.Ints("tokenizer.ggml.eos_token_ids")...,
+				),
+			},
+			"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+		),
+		Layers: make([]Layer, c.Uint("block_count")),
 		Options: Options{
 			hiddenSize:            int(c.Uint("embedding_length")),
 			numHeads:              int(c.Uint("attention.head_count")),

model/models/qwen2/model.go

@@ -13,6 +13,7 @@ import (
 	"github.com/ollama/ollama/ml/nn/rope"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Options struct {
@@ -92,7 +93,7 @@ func (d DecoderLayer) Forward(ctx ml.Context, hiddenStates, positions, outputs m
 
 type Model struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 
 	TokenEmbedding *nn.Embedding  `gguf:"token_embd"`
 	Layers         []DecoderLayer `gguf:"blk"`
@@ -139,8 +140,8 @@ func New(c fs.Config) (model.Model, error) {
 	}
 	m := Model{
 		Layers: make([]DecoderLayer, c.Uint("block_count")),
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/qwen25vl/model.go

@@ -10,11 +10,12 @@ import (
 	"github.com/ollama/ollama/ml"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Model struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 
 	*TextModel
 	*VisionModel `gguf:"v"`
@@ -27,8 +28,8 @@ var _ model.MultimodalProcessor = (*Model)(nil)
 
 func New(c fs.Config) (model.Model, error) {
 	m := &Model{
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/qwen3/embed.go

@@ -7,11 +7,12 @@ import (
 	"github.com/ollama/ollama/ml/nn/pooling"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type embedModel struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 
 	*Model
 	poolingType pooling.Type
@@ -34,8 +35,8 @@ func newEmbed(c fs.Config) (model.Model, error) {
 		layers[i].MLP = &dense{}
 	}
 	m := embedModel{
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/qwen3/model.go

@@ -12,6 +12,7 @@ import (
 	"github.com/ollama/ollama/ml/nn/rope"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Options struct {
@@ -159,7 +160,7 @@ func (d *Layer) Forward(ctx ml.Context, hiddenStates, positions, outputs ml.Tens
 
 type Model struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 
 	TokenEmbedding *nn.Embedding `gguf:"token_embd"`
 	OutputNorm     *nn.RMSNorm   `gguf:"output_norm"`
@@ -218,8 +219,8 @@ func New(c fs.Config) (model.Model, error) {
 	}
 
 	m := Model{
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/qwen3next/model.go

@@ -11,6 +11,7 @@ import (
 	"github.com/ollama/ollama/ml/nn/rope"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 // Options contains model configuration
@@ -207,7 +208,7 @@ func (l *Layer) Forward(ctx ml.Context, layer int, hiddenStates, positions, outp
 // Model is the main Qwen3-Next model
 type Model struct {
 	model.Base
-	model.BytePairEncoding
+	tokenizer.Tokenizer
 
 	TokenEmbedding *nn.Embedding `gguf:"token_embd"`
 	OutputNorm     *nn.RMSNorm   `gguf:"output_norm"`
@@ -353,8 +354,8 @@ func New(c fs.Config) (model.Model, error) {
 	}
 
 	m := Model{
-		BytePairEncoding: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/models/qwen3vl/model.go

@@ -10,11 +10,12 @@ import (
 	"github.com/ollama/ollama/ml"
 	"github.com/ollama/ollama/model"
 	"github.com/ollama/ollama/model/input"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 type Model struct {
 	model.Base
-	model.TextProcessor
+	tokenizer.Tokenizer
 
 	*TextModel
 	*VisionModel `gguf:"v"`
@@ -172,8 +173,8 @@ func (m *Model) Forward(ctx ml.Context, batch input.Batch) (ml.Tensor, error) {
 
 func New(c fs.Config) (model.Model, error) {
 	m := Model{
-		TextProcessor: model.NewBytePairEncoding(
-			&model.Vocabulary{
+		Tokenizer: tokenizer.NewBytePairEncoding(
+			&tokenizer.Vocabulary{
 				Values: c.Strings("tokenizer.ggml.tokens"),
 				Types:  c.Ints("tokenizer.ggml.token_type"),
 				Merges: c.Strings("tokenizer.ggml.merges"),

model/textprocessor.go

@@ -1,17 +0,0 @@
-package model
-
-const (
-	TOKEN_TYPE_NORMAL = iota + 1
-	TOKEN_TYPE_UNKNOWN
-	TOKEN_TYPE_CONTROL
-	TOKEN_TYPE_USER_DEFINED
-	TOKEN_TYPE_UNUSED
-	TOKEN_TYPE_BYTE
-)
-
-type TextProcessor interface {
-	Encode(s string, addSpecial bool) ([]int32, error)
-	Decode([]int32) (string, error)
-	Is(int32, Special) bool
-	Vocabulary() *Vocabulary
-}

model/wordpiece_test.go

@@ -1,53 +0,0 @@
-package model
-
-import (
-	"slices"
-	"testing"
-
-	"github.com/google/go-cmp/cmp"
-)
-
-func TestWordPiece(t *testing.T) {
-	wpm := NewWordPiece(
-		&Vocabulary{
-			Values: []string{"[UNK]", "[CLS]", "[SEP]", "▁hello", "▁world", "s", "▁!", "▁@", "▁#"},
-			AddBOS: true,
-			AddEOS: true,
-			BOS:    []int32{1},
-			EOS:    []int32{2},
-		},
-		true, // lowercase
-	)
-
-	ids, err := wpm.Encode("Hello world!", true)
-	if err != nil {
-		t.Fatal(err)
-	}
-
-	if diff := cmp.Diff([]int32{1, 3, 4, 6, 2}, ids); diff != "" {
-		t.Errorf("unexpected ids (-want +got):\n%s", diff)
-	}
-
-	words, err := wpm.Decode(ids)
-	if err != nil {
-		t.Fatal(err)
-	}
-
-	if diff := cmp.Diff("[CLS] hello world! [SEP]", words); diff != "" {
-		t.Errorf("unexpected words (-want +got):\n%s", diff)
-	}
-}
-
-func TestWordPieceWords(t *testing.T) {
-	var wpm WordPiece
-
-	basic := slices.Collect(wpm.words("Hey friend!     How are you?!?"))
-	if diff := cmp.Diff([]string{"Hey", "friend", "!", "How", "are", "you", "?", "!", "?"}, basic); diff != "" {
-		t.Errorf("unexpected words (-want +got):\n%s", diff)
-	}
-
-	chinese := slices.Collect(wpm.words("野口里佳 Noguchi Rika"))
-	if diff := cmp.Diff([]string{"野", "口", "里", "佳", "Noguchi", "Rika"}, chinese); diff != "" {
-		t.Errorf("unexpected words (-want +got):\n%s", diff)
-	}
-}

runner/ollamarunner/runner.go

@@ -37,6 +37,7 @@ import (
 	"github.com/ollama/ollama/model/input"
 	"github.com/ollama/ollama/runner/common"
 	"github.com/ollama/ollama/sample"
+	"github.com/ollama/ollama/tokenizer"
 
 	_ "github.com/ollama/ollama/model/models"
 )
@@ -210,9 +211,9 @@ func (s *Server) NewSequence(prompt string, images []llm.ImageData, params NewSe
 }
 
 // calculateLogprobs converts raw logits to log probabilities and finds top K tokens
-func calculateLogprobs(logits []float32, selectedToken int32, topK int, textProcessor model.TextProcessor) []llm.Logprob {
+func calculateLogprobs(logits []float32, selectedToken int32, topK int, tok tokenizer.Tokenizer) []llm.Logprob {
 	decoder := func(tokenID int) string {
-		text, _ := textProcessor.Decode([]int32{int32(tokenID)})
+		text, _ := tok.Decode([]int32{int32(tokenID)})
 		return text
 	}
 	return common.CalculateLogprobs(logits, int(selectedToken), topK, decoder)
@@ -242,7 +243,7 @@ func (s *Server) inputs(prompt string, images []llm.ImageData) ([]*input.Input,
 
 	for i, part := range parts {
 		// text - tokenize
-		tokens, err := s.model.(model.TextProcessor).Encode(part, i == 0)
+		tokens, err := s.model.(tokenizer.Tokenizer).Encode(part, i == 0)
 		if err != nil {
 			return nil, nil, nil, err
 		}
@@ -764,7 +765,7 @@ func (s *Server) computeBatch(activeBatch batchState) {
 		nextBatchTokens[i].Token = token
 
 		// if it's an end of sequence token, break
-		if s.model.(model.TextProcessor).Is(token, model.SpecialEOS) {
+		if s.model.(tokenizer.Tokenizer).Is(token, tokenizer.SpecialEOS) {
 			// TODO (jmorganca): we should send this back
 			// as it's important for the /api/generate context
 			// seq.responses <- piece
@@ -773,14 +774,14 @@ func (s *Server) computeBatch(activeBatch batchState) {
 			continue
 		}
 
-		piece, err := s.model.(model.TextProcessor).Decode([]int32{token})
+		piece, err := s.model.(tokenizer.Tokenizer).Decode([]int32{token})
 		if err != nil {
 			panic("failed to decode token")
 		}
 
 		// Calculate logprobs if requested (after EOS check to avoid logprobs for EOS tokens)
 		if seq.logprobs {
-			logprobs := calculateLogprobs(logits, token, seq.topLogprobs, s.model.(model.TextProcessor))
+			logprobs := calculateLogprobs(logits, token, seq.topLogprobs, s.model.(tokenizer.Tokenizer))
 			seq.pendingLogprobs = append(seq.pendingLogprobs, logprobs...)
 		}
 
@@ -878,7 +879,7 @@ func (s *Server) completion(w http.ResponseWriter, r *http.Request) {
 	var grammar *sample.GrammarSampler
 	var err error
 	if req.Grammar != "" {
-		grammar, err = sample.NewGrammarSampler(s.model.(model.TextProcessor), req.Grammar)
+		grammar, err = sample.NewGrammarSampler(s.model.(tokenizer.Tokenizer), req.Grammar)
 		if err != nil {
 			http.Error(w, "failed to load model vocabulary required for format", http.StatusInternalServerError)
 			return

runner/runner.go

@@ -3,6 +3,7 @@ package runner
 import (
 	"github.com/ollama/ollama/runner/llamarunner"
 	"github.com/ollama/ollama/runner/ollamarunner"
+	"github.com/ollama/ollama/x/imagegen"
 	"github.com/ollama/ollama/x/mlxrunner"
 )
 
@@ -11,22 +12,15 @@ func Execute(args []string) error {
 		args = args[1:]
 	}
 
-	var newRunner bool
-	var mlxRunner bool
-	if len(args) > 0 && args[0] == "--ollama-engine" {
-		args = args[1:]
-		newRunner = true
-	}
-	if len(args) > 0 && args[0] == "--mlx-engine" {
-		args = args[1:]
-		mlxRunner = true
-	}
-
-	if mlxRunner {
-		return mlxrunner.Execute(args)
-	} else if newRunner {
-		return ollamarunner.Execute(args)
-	} else {
-		return llamarunner.Execute(args)
+	if len(args) > 0 {
+		switch args[0] {
+		case "--ollama-engine":
+			return ollamarunner.Execute(args[1:])
+		case "--imagegen-engine":
+			return imagegen.Execute(args[1:])
+		case "--mlx-engine":
+			return mlxrunner.Execute(args[1:])
+		}
 	}
+	return llamarunner.Execute(args)
 }

sample/samplers.go

@@ -7,7 +7,7 @@ import (
 	"slices"
 
 	"github.com/ollama/ollama/llama"
-	"github.com/ollama/ollama/model"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 // token represents information about a single token during sampling
@@ -168,15 +168,15 @@ type GrammarSampler struct {
 	grammar *llama.Grammar
 }
 
-func NewGrammarSampler(model model.TextProcessor, grammarStr string) (*GrammarSampler, error) {
-	vocabIds := make([]uint32, len(model.Vocabulary().Values))
-	pieces := make([]string, len(model.Vocabulary().Values))
-	for i := range model.Vocabulary().Values {
-		pieces[i], _ = model.Decode([]int32{int32(i)})
+func NewGrammarSampler(tok tokenizer.Tokenizer, grammarStr string) (*GrammarSampler, error) {
+	vocabIds := make([]uint32, len(tok.Vocabulary().Values))
+	pieces := make([]string, len(tok.Vocabulary().Values))
+	for i := range tok.Vocabulary().Values {
+		pieces[i], _ = tok.Decode([]int32{int32(i)})
 		vocabIds[i] = uint32(i)
 	}
 
-	grammar := llama.NewGrammar(grammarStr, vocabIds, pieces, model.Vocabulary().EOS)
+	grammar := llama.NewGrammar(grammarStr, vocabIds, pieces, tok.Vocabulary().EOS)
 	if grammar == nil {
 		return nil, errors.New("sample: failed to initialize grammar")
 	}

sample/samplers_test.go

@@ -8,7 +8,7 @@ import (
 	"path/filepath"
 	"testing"
 
-	"github.com/ollama/ollama/model"
+	"github.com/ollama/ollama/tokenizer"
 )
 
 func TestWeighted(t *testing.T) {
@@ -60,10 +60,10 @@ func TestWeighted(t *testing.T) {
 	}
 }
 
-func modelHelper(t testing.TB) model.BytePairEncoding {
+func modelHelper(t testing.TB) tokenizer.Tokenizer {
 	t.Helper()
 
-	f, err := os.Open(filepath.Join("..", "model", "testdata", "llama3.2", "encoder.json"))
+	f, err := os.Open(filepath.FromSlash("../tokenizer/testdata/llama3.2/encoder.json"))
 	if err != nil {
 		t.Fatal(err)
 	}
@@ -81,8 +81,8 @@ func modelHelper(t testing.TB) model.BytePairEncoding {
 
 	merges := make([]string, 0, 1)
 	// Only need vocab for Grammar Test
-	return model.NewBytePairEncoding(
-		&model.Vocabulary{
+	return tokenizer.NewBytePairEncoding(
+		&tokenizer.Vocabulary{
 			Values: tokens,
 			Types:  make([]int32, len(vocab)),
 			Merges: merges,

scripts/install.sh

@@ -1,5 +1,5 @@
 #!/bin/sh
-# This script installs Ollama on Linux.
+# This script installs Ollama on Linux and macOS.
 # It detects the current operating system architecture and installs the appropriate version of Ollama.
 
 set -eu
@@ -27,8 +27,7 @@ require() {
     echo $MISSING
 }
 
-[ "$(uname -s)" = "Linux" ] || error 'This script is intended to run on Linux only.'
-
+OS="$(uname -s)"
 ARCH=$(uname -m)
 case "$ARCH" in
     x86_64) ARCH="amd64" ;;
@@ -36,6 +35,65 @@ case "$ARCH" in
     *) error "Unsupported architecture: $ARCH" ;;
 esac
 
+###########################################
+# macOS
+###########################################
+
+if [ "$OS" = "Darwin" ]; then
+    NEEDS=$(require curl unzip)
+    if [ -n "$NEEDS" ]; then
+        status "ERROR: The following tools are required but missing:"
+        for NEED in $NEEDS; do
+            echo "  - $NEED"
+        done
+        exit 1
+    fi
+
+    if [ -n "${OLLAMA_VERSION:-}" ]; then
+        DOWNLOAD_URL="https://github.com/ollama/ollama/releases/download/${OLLAMA_VERSION}/Ollama-darwin.zip"
+    else
+        DOWNLOAD_URL="https://github.com/ollama/ollama/releases/latest/download/Ollama-darwin.zip"
+    fi
+
+    if pgrep -x Ollama >/dev/null 2>&1; then
+        status "Stopping running Ollama instance..."
+        pkill -x Ollama 2>/dev/null || true
+        sleep 2
+    fi
+
+    if [ -d "/Applications/Ollama.app" ]; then
+        status "Removing existing Ollama installation..."
+        rm -rf "/Applications/Ollama.app"
+    fi
+
+    status "Downloading Ollama for macOS..."
+    curl --fail --show-error --location --progress-bar \
+        -o "$TEMP_DIR/Ollama-darwin.zip" "$DOWNLOAD_URL"
+
+    status "Installing Ollama to /Applications..."
+    unzip -q "$TEMP_DIR/Ollama-darwin.zip" -d "$TEMP_DIR"
+    mv "$TEMP_DIR/Ollama.app" "/Applications/"
+
+    status "Adding 'ollama' command to PATH (may require password)..."
+    mkdir -p "/usr/local/bin" 2>/dev/null || sudo mkdir -p "/usr/local/bin"
+    ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama" 2>/dev/null || \
+        sudo ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama"
+
+    if [ -z "${OLLAMA_NO_START:-}" ]; then
+        status "Starting Ollama..."
+        open -a Ollama --args hidden
+    fi
+
+    status "Install complete. You can now run 'ollama'."
+    exit 0
+fi
+
+###########################################
+# Linux
+###########################################
+
+[ "$OS" = "Linux" ] || error 'This script is intended to run on Linux and macOS only.'
+
 IS_WSL2=false
 
 KERN=$(uname -r)

server/aliases.go

@@ -0,0 +1,422 @@
+package server
+
+import (
+	"encoding/json"
+	"errors"
+	"fmt"
+	"log/slog"
+	"os"
+	"path/filepath"
+	"sort"
+	"strings"
+	"sync"
+
+	"github.com/ollama/ollama/manifest"
+	"github.com/ollama/ollama/types/model"
+)
+
+const (
+	serverConfigFilename = "server.json"
+	serverConfigVersion  = 1
+)
+
+var errAliasCycle = errors.New("alias cycle detected")
+
+type aliasEntry struct {
+	Alias          string `json:"alias"`
+	Target         string `json:"target"`
+	PrefixMatching bool   `json:"prefix_matching,omitempty"`
+}
+
+type serverConfig struct {
+	Version int          `json:"version"`
+	Aliases []aliasEntry `json:"aliases"`
+}
+
+type store struct {
+	mu            sync.RWMutex
+	path          string
+	entries       map[string]aliasEntry // normalized alias -> entry (exact matches)
+	prefixEntries []aliasEntry          // prefix matches, sorted longest-first
+}
+
+func createStore(path string) (*store, error) {
+	store := &store{
+		path:    path,
+		entries: make(map[string]aliasEntry),
+	}
+	if err := store.load(); err != nil {
+		return nil, err
+	}
+	return store, nil
+}
+
+func (s *store) load() error {
+	data, err := os.ReadFile(s.path)
+	if err != nil {
+		if errors.Is(err, os.ErrNotExist) {
+			return nil
+		}
+		return err
+	}
+
+	var cfg serverConfig
+	if err := json.Unmarshal(data, &cfg); err != nil {
+		return err
+	}
+
+	if cfg.Version != 0 && cfg.Version != serverConfigVersion {
+		return fmt.Errorf("unsupported router config version %d", cfg.Version)
+	}
+
+	for _, entry := range cfg.Aliases {
+		targetName := model.ParseName(entry.Target)
+		if !targetName.IsValid() {
+			slog.Warn("invalid alias target in router config", "target", entry.Target)
+			continue
+		}
+		canonicalTarget := displayAliasName(targetName)
+
+		if entry.PrefixMatching {
+			// Prefix aliases don't need to be valid model names
+			alias := strings.TrimSpace(entry.Alias)
+			if alias == "" {
+				slog.Warn("empty prefix alias in router config")
+				continue
+			}
+			s.prefixEntries = append(s.prefixEntries, aliasEntry{
+				Alias:          alias,
+				Target:         canonicalTarget,
+				PrefixMatching: true,
+			})
+		} else {
+			aliasName := model.ParseName(entry.Alias)
+			if !aliasName.IsValid() {
+				slog.Warn("invalid alias name in router config", "alias", entry.Alias)
+				continue
+			}
+			canonicalAlias := displayAliasName(aliasName)
+			s.entries[normalizeAliasKey(aliasName)] = aliasEntry{
+				Alias:  canonicalAlias,
+				Target: canonicalTarget,
+			}
+		}
+	}
+
+	// Sort prefix entries by alias length descending (longest prefix wins)
+	s.sortPrefixEntriesLocked()
+
+	return nil
+}
+
+func (s *store) saveLocked() error {
+	dir := filepath.Dir(s.path)
+	if err := os.MkdirAll(dir, 0o755); err != nil {
+		return err
+	}
+
+	// Combine exact and prefix entries
+	entries := make([]aliasEntry, 0, len(s.entries)+len(s.prefixEntries))
+	for _, entry := range s.entries {
+		entries = append(entries, entry)
+	}
+	entries = append(entries, s.prefixEntries...)
+
+	sort.Slice(entries, func(i, j int) bool {
+		return strings.Compare(entries[i].Alias, entries[j].Alias) < 0
+	})
+
+	cfg := serverConfig{
+		Version: serverConfigVersion,
+		Aliases: entries,
+	}
+
+	f, err := os.CreateTemp(dir, "router-*.json")
+	if err != nil {
+		return err
+	}
+
+	enc := json.NewEncoder(f)
+	enc.SetIndent("", "  ")
+	if err := enc.Encode(cfg); err != nil {
+		_ = f.Close()
+		_ = os.Remove(f.Name())
+		return err
+	}
+
+	if err := f.Close(); err != nil {
+		_ = os.Remove(f.Name())
+		return err
+	}
+
+	if err := os.Chmod(f.Name(), 0o644); err != nil {
+		_ = os.Remove(f.Name())
+		return err
+	}
+
+	return os.Rename(f.Name(), s.path)
+}
+
+func (s *store) ResolveName(name model.Name) (model.Name, bool, error) {
+	// If a local model exists, do not allow alias shadowing (highest priority).
+	exists, err := localModelExists(name)
+	if err != nil {
+		return name, false, err
+	}
+	if exists {
+		return name, false, nil
+	}
+
+	key := normalizeAliasKey(name)
+
+	s.mu.RLock()
+	entry, exactMatch := s.entries[key]
+	var prefixMatch *aliasEntry
+	if !exactMatch {
+		// Try prefix matching - prefixEntries is sorted longest-first
+		nameStr := strings.ToLower(displayAliasName(name))
+		for i := range s.prefixEntries {
+			prefix := strings.ToLower(s.prefixEntries[i].Alias)
+			if strings.HasPrefix(nameStr, prefix) {
+				prefixMatch = &s.prefixEntries[i]
+				break // First match is longest due to sorting
+			}
+		}
+	}
+	s.mu.RUnlock()
+
+	if !exactMatch && prefixMatch == nil {
+		return name, false, nil
+	}
+
+	var current string
+	var visited map[string]struct{}
+
+	if exactMatch {
+		visited = map[string]struct{}{key: {}}
+		current = entry.Target
+	} else {
+		// For prefix match, use the target as-is
+		visited = map[string]struct{}{}
+		current = prefixMatch.Target
+	}
+
+	targetKey := normalizeAliasKeyString(current)
+
+	for {
+		targetName := model.ParseName(current)
+		if !targetName.IsValid() {
+			return name, false, fmt.Errorf("alias target %q is invalid", current)
+		}
+
+		if _, seen := visited[targetKey]; seen {
+			return name, false, errAliasCycle
+		}
+		visited[targetKey] = struct{}{}
+
+		s.mu.RLock()
+		next, ok := s.entries[targetKey]
+		s.mu.RUnlock()
+		if !ok {
+			return targetName, true, nil
+		}
+
+		current = next.Target
+		targetKey = normalizeAliasKeyString(current)
+	}
+}
+
+func (s *store) Set(alias, target model.Name, prefixMatching bool) error {
+	targetKey := normalizeAliasKey(target)
+
+	s.mu.Lock()
+	defer s.mu.Unlock()
+
+	if prefixMatching {
+		// For prefix aliases, we skip cycle detection since prefix matching
+		// works differently and the target is a specific model
+		aliasStr := displayAliasName(alias)
+
+		// Remove any existing prefix entry with the same alias
+		for i, e := range s.prefixEntries {
+			if strings.EqualFold(e.Alias, aliasStr) {
+				s.prefixEntries = append(s.prefixEntries[:i], s.prefixEntries[i+1:]...)
+				break
+			}
+		}
+
+		s.prefixEntries = append(s.prefixEntries, aliasEntry{
+			Alias:          aliasStr,
+			Target:         displayAliasName(target),
+			PrefixMatching: true,
+		})
+		s.sortPrefixEntriesLocked()
+		return s.saveLocked()
+	}
+
+	aliasKey := normalizeAliasKey(alias)
+
+	if aliasKey == targetKey {
+		return fmt.Errorf("alias cannot point to itself")
+	}
+
+	visited := map[string]struct{}{aliasKey: {}}
+	currentKey := targetKey
+	for {
+		if _, seen := visited[currentKey]; seen {
+			return errAliasCycle
+		}
+		visited[currentKey] = struct{}{}
+
+		next, ok := s.entries[currentKey]
+		if !ok {
+			break
+		}
+		currentKey = normalizeAliasKeyString(next.Target)
+	}
+
+	s.entries[aliasKey] = aliasEntry{
+		Alias:  displayAliasName(alias),
+		Target: displayAliasName(target),
+	}
+
+	return s.saveLocked()
+}
+
+func (s *store) Delete(alias model.Name) (bool, error) {
+	aliasKey := normalizeAliasKey(alias)
+
+	s.mu.Lock()
+	defer s.mu.Unlock()
+
+	// Try exact match first
+	if _, ok := s.entries[aliasKey]; ok {
+		delete(s.entries, aliasKey)
+		return true, s.saveLocked()
+	}
+
+	// Try prefix entries
+	aliasStr := displayAliasName(alias)
+	for i, e := range s.prefixEntries {
+		if strings.EqualFold(e.Alias, aliasStr) {
+			s.prefixEntries = append(s.prefixEntries[:i], s.prefixEntries[i+1:]...)
+			return true, s.saveLocked()
+		}
+	}
+
+	return false, nil
+}
+
+// DeleteByString deletes an alias by its raw string value, useful for prefix
+// aliases that may not be valid model names.
+func (s *store) DeleteByString(alias string) (bool, error) {
+	alias = strings.TrimSpace(alias)
+	aliasLower := strings.ToLower(alias)
+
+	s.mu.Lock()
+	defer s.mu.Unlock()
+
+	// Try prefix entries first (since this is mainly for prefix aliases)
+	for i, e := range s.prefixEntries {
+		if strings.EqualFold(e.Alias, alias) {
+			s.prefixEntries = append(s.prefixEntries[:i], s.prefixEntries[i+1:]...)
+			return true, s.saveLocked()
+		}
+	}
+
+	// Also check exact entries by normalized key
+	if _, ok := s.entries[aliasLower]; ok {
+		delete(s.entries, aliasLower)
+		return true, s.saveLocked()
+	}
+
+	return false, nil
+}
+
+func (s *store) List() []aliasEntry {
+	s.mu.RLock()
+	defer s.mu.RUnlock()
+
+	entries := make([]aliasEntry, 0, len(s.entries)+len(s.prefixEntries))
+	for _, entry := range s.entries {
+		entries = append(entries, entry)
+	}
+	entries = append(entries, s.prefixEntries...)
+
+	sort.Slice(entries, func(i, j int) bool {
+		return strings.Compare(entries[i].Alias, entries[j].Alias) < 0
+	})
+	return entries
+}
+
+func normalizeAliasKey(name model.Name) string {
+	return strings.ToLower(displayAliasName(name))
+}
+
+func (s *store) sortPrefixEntriesLocked() {
+	sort.Slice(s.prefixEntries, func(i, j int) bool {
+		// Sort by length descending (longest prefix first)
+		return len(s.prefixEntries[i].Alias) > len(s.prefixEntries[j].Alias)
+	})
+}
+
+func normalizeAliasKeyString(value string) string {
+	n := model.ParseName(value)
+	if !n.IsValid() {
+		return strings.ToLower(strings.TrimSpace(value))
+	}
+	return normalizeAliasKey(n)
+}
+
+func displayAliasName(n model.Name) string {
+	display := n.DisplayShortest()
+	if strings.EqualFold(n.Tag, "latest") {
+		if idx := strings.LastIndex(display, ":"); idx != -1 {
+			return display[:idx]
+		}
+	}
+	return display
+}
+
+func localModelExists(name model.Name) (bool, error) {
+	manifests, err := manifest.Manifests(true)
+	if err != nil {
+		return false, err
+	}
+	needle := name.String()
+	for existing := range manifests {
+		if strings.EqualFold(existing.String(), needle) {
+			return true, nil
+		}
+	}
+	return false, nil
+}
+
+func serverConfigPath() string {
+	home, err := os.UserHomeDir()
+	if err != nil {
+		return filepath.Join(".ollama", serverConfigFilename)
+	}
+	return filepath.Join(home, ".ollama", serverConfigFilename)
+}
+
+func (s *Server) aliasStore() (*store, error) {
+	s.aliasesOnce.Do(func() {
+		s.aliases, s.aliasesErr = createStore(serverConfigPath())
+	})
+
+	return s.aliases, s.aliasesErr
+}
+
+func (s *Server) resolveAlias(name model.Name) (model.Name, bool, error) {
+	store, err := s.aliasStore()
+	if err != nil {
+		return name, false, err
+	}
+
+	if store == nil {
+		return name, false, nil
+	}
+
+	return store.ResolveName(name)
+}

server/inference_request_log.go

@@ -1,144 +0,0 @@
-package server
-
-import (
-	"bytes"
-	"fmt"
-	"io"
-	"log/slog"
-	"os"
-	"path/filepath"
-	"strings"
-	"sync/atomic"
-	"time"
-
-	"github.com/gin-gonic/gin"
-
-	"github.com/ollama/ollama/envconfig"
-)
-
-type inferenceRequestLogger struct {
-	dir     string
-	counter uint64
-}
-
-func newInferenceRequestLogger() (*inferenceRequestLogger, error) {
-	dir, err := os.MkdirTemp("", "ollama-request-logs-*")
-	if err != nil {
-		return nil, err
-	}
-
-	return &inferenceRequestLogger{dir: dir}, nil
-}
-
-func (s *Server) initRequestLogging() error {
-	if !envconfig.DebugLogRequests() {
-		return nil
-	}
-
-	requestLogger, err := newInferenceRequestLogger()
-	if err != nil {
-		return fmt.Errorf("enable OLLAMA_DEBUG_LOG_REQUESTS: %w", err)
-	}
-
-	s.requestLogger = requestLogger
-	slog.Info(fmt.Sprintf("request debug logging enabled; inference request logs will be stored in %s and include request bodies and replay curl commands", requestLogger.dir))
-
-	return nil
-}
-
-func (s *Server) withInferenceRequestLogging(route string, handlers ...gin.HandlerFunc) []gin.HandlerFunc {
-	if s.requestLogger == nil {
-		return handlers
-	}
-
-	return append([]gin.HandlerFunc{s.requestLogger.middleware(route)}, handlers...)
-}
-
-func (l *inferenceRequestLogger) middleware(route string) gin.HandlerFunc {
-	return func(c *gin.Context) {
-		if c.Request == nil {
-			c.Next()
-			return
-		}
-
-		method := c.Request.Method
-		host := c.Request.Host
-		scheme := "http"
-		if c.Request.TLS != nil {
-			scheme = "https"
-		}
-		contentType := c.GetHeader("Content-Type")
-
-		var body []byte
-		if c.Request.Body != nil {
-			var err error
-			body, err = io.ReadAll(c.Request.Body)
-			c.Request.Body = io.NopCloser(bytes.NewReader(body))
-			if err != nil {
-				slog.Warn("failed to read request body for debug logging", "route", route, "error", err)
-			}
-		}
-
-		c.Next()
-		l.log(route, method, scheme, host, contentType, body)
-	}
-}
-
-func (l *inferenceRequestLogger) log(route, method, scheme, host, contentType string, body []byte) {
-	if l == nil || l.dir == "" {
-		return
-	}
-
-	if contentType == "" {
-		contentType = "application/json"
-	}
-	if host == "" || scheme == "" {
-		base := envconfig.Host()
-		if host == "" {
-			host = base.Host
-		}
-		if scheme == "" {
-			scheme = base.Scheme
-		}
-	}
-
-	routeForFilename := sanitizeRouteForFilename(route)
-	timestamp := fmt.Sprintf("%s-%06d", time.Now().UTC().Format("20060102T150405.000000000Z"), atomic.AddUint64(&l.counter, 1))
-	bodyFilename := fmt.Sprintf("%s_%s_body.json", timestamp, routeForFilename)
-	curlFilename := fmt.Sprintf("%s_%s_request.sh", timestamp, routeForFilename)
-	bodyPath := filepath.Join(l.dir, bodyFilename)
-	curlPath := filepath.Join(l.dir, curlFilename)
-
-	if err := os.WriteFile(bodyPath, body, 0o600); err != nil {
-		slog.Warn("failed to write debug request body", "route", route, "error", err)
-		return
-	}
-
-	url := fmt.Sprintf("%s://%s%s", scheme, host, route)
-	curl := fmt.Sprintf("#!/bin/sh\nSCRIPT_DIR=\"$(CDPATH= cd -- \"$(dirname -- \"$0\")\" && pwd)\"\ncurl --request %s --url %q --header %q --data-binary @\"${SCRIPT_DIR}/%s\"\n", method, url, "Content-Type: "+contentType, bodyFilename)
-	if err := os.WriteFile(curlPath, []byte(curl), 0o600); err != nil {
-		slog.Warn("failed to write debug request replay command", "route", route, "error", err)
-		return
-	}
-
-	slog.Info(fmt.Sprintf("logged to %s, replay using curl with `sh %s`", bodyPath, curlPath))
-}
-
-func sanitizeRouteForFilename(route string) string {
-	route = strings.TrimPrefix(route, "/")
-	if route == "" {
-		return "root"
-	}
-
-	var b strings.Builder
-	b.Grow(len(route))
-	for _, r := range route {
-		if ('a' <= r && r <= 'z') || ('A' <= r && r <= 'Z') || ('0' <= r && r <= '9') {
-			b.WriteRune(r)
-		} else {
-			b.WriteByte('_')
-		}
-	}
-
-	return b.String()
-}

server/routes.go

@@ -22,6 +22,7 @@ import (
 	"os/signal"
 	"slices"
 	"strings"
+	"sync"
 	"sync/atomic"
 	"syscall"
 	"time"
@@ -51,7 +52,7 @@ import (
 	"github.com/ollama/ollama/types/errtypes"
 	"github.com/ollama/ollama/types/model"
 	"github.com/ollama/ollama/version"
-	"github.com/ollama/ollama/x/imagegen"
+	imagegenmanifest "github.com/ollama/ollama/x/imagegen/manifest"
 	xserver "github.com/ollama/ollama/x/server"
 )
 
@@ -81,7 +82,9 @@ type Server struct {
 	addr          net.Addr
 	sched         *Scheduler
 	defaultNumCtx int
-	requestLogger *inferenceRequestLogger
+	aliasesOnce   sync.Once
+	aliases       *store
+	aliasesErr    error
 }
 
 func init() {
@@ -192,9 +195,16 @@ func (s *Server) GenerateHandler(c *gin.Context) {
 		return
 	}
 
+	resolvedName, _, err := s.resolveAlias(name)
+	if err != nil {
+		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		return
+	}
+	name = resolvedName
+
 	// We cannot currently consolidate this into GetModel because all we'll
 	// induce infinite recursion given the current code structure.
-	name, err := getExistingName(name)
+	name, err = getExistingName(name)
 	if err != nil {
 		c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Model)})
 		return
@@ -1096,7 +1106,7 @@ func GetModelInfo(req api.ShowRequest) (*api.ShowResponse, error) {
 
 	// For image generation models, populate details from imagegen package
 	if slices.Contains(m.Capabilities(), model.CapabilityImage) {
-		if info, err := imagegen.GetModelInfo(name.String()); err == nil {
+		if info, err := imagegenmanifest.GetModelInfo(name.String()); err == nil {
 			modelDetails.Family = info.Architecture
 			modelDetails.ParameterSize = format.HumanNumber(uint64(info.ParameterCount))
 			modelDetails.QuantizationLevel = info.Quantization
@@ -1581,27 +1591,30 @@ func (s *Server) GenerateRoutes(rc *ollama.Registry) (http.Handler, error) {
 	r.POST("/api/blobs/:digest", s.CreateBlobHandler)
 	r.HEAD("/api/blobs/:digest", s.HeadBlobHandler)
 	r.POST("/api/copy", s.CopyHandler)
+	r.GET("/api/experimental/aliases", s.ListAliasesHandler)
+	r.POST("/api/experimental/aliases", s.CreateAliasHandler)
+	r.DELETE("/api/experimental/aliases", s.DeleteAliasHandler)
 
 	// Inference
 	r.GET("/api/ps", s.PsHandler)
-	r.POST("/api/generate", s.withInferenceRequestLogging("/api/generate", s.GenerateHandler)...)
-	r.POST("/api/chat", s.withInferenceRequestLogging("/api/chat", s.ChatHandler)...)
+	r.POST("/api/generate", s.GenerateHandler)
+	r.POST("/api/chat", s.ChatHandler)
 	r.POST("/api/embed", s.EmbedHandler)
 	r.POST("/api/embeddings", s.EmbeddingsHandler)
 
 	// Inference (OpenAI compatibility)
-	r.POST("/v1/chat/completions", s.withInferenceRequestLogging("/v1/chat/completions", middleware.ChatMiddleware(), s.ChatHandler)...)
-	r.POST("/v1/completions", s.withInferenceRequestLogging("/v1/completions", middleware.CompletionsMiddleware(), s.GenerateHandler)...)
+	r.POST("/v1/chat/completions", middleware.ChatMiddleware(), s.ChatHandler)
+	r.POST("/v1/completions", middleware.CompletionsMiddleware(), s.GenerateHandler)
 	r.POST("/v1/embeddings", middleware.EmbeddingsMiddleware(), s.EmbedHandler)
 	r.GET("/v1/models", middleware.ListMiddleware(), s.ListHandler)
 	r.GET("/v1/models/:model", middleware.RetrieveMiddleware(), s.ShowHandler)
-	r.POST("/v1/responses", s.withInferenceRequestLogging("/v1/responses", middleware.ResponsesMiddleware(), s.ChatHandler)...)
+	r.POST("/v1/responses", middleware.ResponsesMiddleware(), s.ChatHandler)
 	// OpenAI-compatible image generation endpoints
 	r.POST("/v1/images/generations", middleware.ImageGenerationsMiddleware(), s.GenerateHandler)
 	r.POST("/v1/images/edits", middleware.ImageEditsMiddleware(), s.GenerateHandler)
 
 	// Inference (Anthropic compatibility)
-	r.POST("/v1/messages", s.withInferenceRequestLogging("/v1/messages", middleware.AnthropicMessagesMiddleware(), s.ChatHandler)...)
+	r.POST("/v1/messages", middleware.AnthropicMessagesMiddleware(), s.ChatHandler)
 
 	if rc != nil {
 		// wrap old with new
@@ -1651,9 +1664,6 @@ func Serve(ln net.Listener) error {
 	}
 
 	s := &Server{addr: ln.Addr()}
-	if err := s.initRequestLogging(); err != nil {
-		return err
-	}
 
 	var rc *ollama.Registry
 	if useClient2 {
@@ -1954,13 +1964,20 @@ func (s *Server) ChatHandler(c *gin.Context) {
 		return
 	}
 
-	name, err := getExistingName(name)
+	resolvedName, _, err := s.resolveAlias(name)
+	if err != nil {
+		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		return
+	}
+	name = resolvedName
+
+	name, err = getExistingName(name)
 	if err != nil {
 		c.JSON(http.StatusBadRequest, gin.H{"error": "model is required"})
 		return
 	}
 
-	m, err := GetModel(req.Model)
+	m, err := GetModel(name.String())
 	if err != nil {
 		switch {
 		case os.IsNotExist(err):

server/routes_aliases.go

@@ -0,0 +1,159 @@
+package server
+
+import (
+	"errors"
+	"fmt"
+	"io"
+	"net/http"
+	"strings"
+
+	"github.com/gin-gonic/gin"
+
+	"github.com/ollama/ollama/types/model"
+)
+
+type aliasListResponse struct {
+	Aliases []aliasEntry `json:"aliases"`
+}
+
+type aliasDeleteRequest struct {
+	Alias string `json:"alias"`
+}
+
+func (s *Server) ListAliasesHandler(c *gin.Context) {
+	store, err := s.aliasStore()
+	if err != nil {
+		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		return
+	}
+
+	var aliases []aliasEntry
+	if store != nil {
+		aliases = store.List()
+	}
+
+	c.JSON(http.StatusOK, aliasListResponse{Aliases: aliases})
+}
+
+func (s *Server) CreateAliasHandler(c *gin.Context) {
+	var req aliasEntry
+	if err := c.ShouldBindJSON(&req); errors.Is(err, io.EOF) {
+		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
+		return
+	} else if err != nil {
+		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
+		return
+	}
+
+	req.Alias = strings.TrimSpace(req.Alias)
+	req.Target = strings.TrimSpace(req.Target)
+	if req.Alias == "" || req.Target == "" {
+		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "alias and target are required"})
+		return
+	}
+
+	// Target must always be a valid model name
+	targetName := model.ParseName(req.Target)
+	if !targetName.IsValid() {
+		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("target %q is invalid", req.Target)})
+		return
+	}
+
+	var aliasName model.Name
+	if req.PrefixMatching {
+		// For prefix aliases, we still parse the alias to normalize it,
+		// but we allow any non-empty string since prefix patterns may not be valid model names
+		aliasName = model.ParseName(req.Alias)
+		// Even if not valid as a model name, we accept it for prefix matching
+	} else {
+		aliasName = model.ParseName(req.Alias)
+		if !aliasName.IsValid() {
+			c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("alias %q is invalid", req.Alias)})
+			return
+		}
+
+		if normalizeAliasKey(aliasName) == normalizeAliasKey(targetName) {
+			c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "alias cannot point to itself"})
+			return
+		}
+
+		exists, err := localModelExists(aliasName)
+		if err != nil {
+			c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+			return
+		}
+		if exists {
+			c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("alias %q conflicts with existing model", req.Alias)})
+			return
+		}
+	}
+
+	store, err := s.aliasStore()
+	if err != nil {
+		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		return
+	}
+
+	if err := store.Set(aliasName, targetName, req.PrefixMatching); err != nil {
+		status := http.StatusInternalServerError
+		if errors.Is(err, errAliasCycle) {
+			status = http.StatusBadRequest
+		}
+		c.AbortWithStatusJSON(status, gin.H{"error": err.Error()})
+		return
+	}
+
+	resp := aliasEntry{
+		Alias:          displayAliasName(aliasName),
+		Target:         displayAliasName(targetName),
+		PrefixMatching: req.PrefixMatching,
+	}
+	if req.PrefixMatching && !aliasName.IsValid() {
+		// For prefix aliases that aren't valid model names, use the raw alias
+		resp.Alias = req.Alias
+	}
+	c.JSON(http.StatusOK, resp)
+}
+
+func (s *Server) DeleteAliasHandler(c *gin.Context) {
+	var req aliasDeleteRequest
+	if err := c.ShouldBindJSON(&req); errors.Is(err, io.EOF) {
+		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
+		return
+	} else if err != nil {
+		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
+		return
+	}
+
+	req.Alias = strings.TrimSpace(req.Alias)
+	if req.Alias == "" {
+		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "alias is required"})
+		return
+	}
+
+	store, err := s.aliasStore()
+	if err != nil {
+		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		return
+	}
+
+	aliasName := model.ParseName(req.Alias)
+	var deleted bool
+	if aliasName.IsValid() {
+		deleted, err = store.Delete(aliasName)
+	} else {
+		// For invalid model names (like prefix aliases), try deleting by raw string
+		deleted, err = store.DeleteByString(req.Alias)
+	}
+
+	if err != nil {
+		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		return
+	}
+	if !deleted {
+		c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("alias %q not found", req.Alias)})
+		return
+	}
+
+	c.JSON(http.StatusOK, gin.H{"deleted": true})
+}

server/routes_aliases_test.go

@@ -0,0 +1,426 @@
+package server
+
+import (
+	"encoding/json"
+	"net/http"
+	"net/http/httptest"
+	"net/url"
+	"path/filepath"
+	"testing"
+
+	"github.com/gin-gonic/gin"
+
+	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/types/model"
+)
+
+func TestAliasShadowingRejected(t *testing.T) {
+	gin.SetMode(gin.TestMode)
+	t.Setenv("HOME", t.TempDir())
+
+	s := Server{}
+	w := createRequest(t, s.CreateHandler, api.CreateRequest{
+		Model:      "shadowed-model",
+		RemoteHost: "example.com",
+		From:       "test",
+		Info: map[string]any{
+			"capabilities": []string{"completion"},
+		},
+		Stream: &stream,
+	})
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d", w.Code)
+	}
+
+	w = createRequest(t, s.CreateAliasHandler, aliasEntry{Alias: "shadowed-model", Target: "other-model"})
+	if w.Code != http.StatusBadRequest {
+		t.Fatalf("expected status 400, got %d", w.Code)
+	}
+}
+
+func TestAliasResolvesForChatRemote(t *testing.T) {
+	gin.SetMode(gin.TestMode)
+	t.Setenv("HOME", t.TempDir())
+
+	var remoteModel string
+	rs := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		var req api.ChatRequest
+		if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
+			t.Fatal(err)
+		}
+		remoteModel = req.Model
+
+		w.Header().Set("Content-Type", "application/json")
+		resp := api.ChatResponse{
+			Model:      req.Model,
+			Done:       true,
+			DoneReason: "load",
+		}
+		if err := json.NewEncoder(w).Encode(&resp); err != nil {
+			t.Fatal(err)
+		}
+	}))
+	defer rs.Close()
+
+	p, err := url.Parse(rs.URL)
+	if err != nil {
+		t.Fatal(err)
+	}
+
+	t.Setenv("OLLAMA_REMOTES", p.Hostname())
+
+	s := Server{}
+	w := createRequest(t, s.CreateHandler, api.CreateRequest{
+		Model:      "target-model",
+		RemoteHost: rs.URL,
+		From:       "test",
+		Info: map[string]any{
+			"capabilities": []string{"completion"},
+		},
+		Stream: &stream,
+	})
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d", w.Code)
+	}
+
+	w = createRequest(t, s.CreateAliasHandler, aliasEntry{Alias: "alias-model", Target: "target-model"})
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d", w.Code)
+	}
+
+	w = createRequest(t, s.ChatHandler, api.ChatRequest{
+		Model:    "alias-model",
+		Messages: []api.Message{{Role: "user", Content: "hi"}},
+		Stream:   &stream,
+	})
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d", w.Code)
+	}
+
+	var resp api.ChatResponse
+	if err := json.NewDecoder(w.Body).Decode(&resp); err != nil {
+		t.Fatal(err)
+	}
+
+	if resp.Model != "alias-model" {
+		t.Fatalf("expected response model to be alias-model, got %q", resp.Model)
+	}
+
+	if remoteModel != "test" {
+		t.Fatalf("expected remote model to be 'test', got %q", remoteModel)
+	}
+}
+
+func TestPrefixAliasBasicMatching(t *testing.T) {
+	tmpDir := t.TempDir()
+	store, err := createStore(filepath.Join(tmpDir, "server.json"))
+	if err != nil {
+		t.Fatal(err)
+	}
+
+	// Create a prefix alias: "myprefix-" -> "targetmodel"
+	targetName := model.ParseName("targetmodel")
+
+	// Set a prefix alias (using "myprefix-" as the pattern)
+	store.mu.Lock()
+	store.prefixEntries = append(store.prefixEntries, aliasEntry{
+		Alias:          "myprefix-",
+		Target:         "targetmodel",
+		PrefixMatching: true,
+	})
+	store.mu.Unlock()
+
+	// Test that "myprefix-foo" resolves to "targetmodel"
+	testName := model.ParseName("myprefix-foo")
+	resolved, wasResolved, err := store.ResolveName(testName)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+	if !wasResolved {
+		t.Fatal("expected name to be resolved")
+	}
+	if resolved.DisplayShortest() != targetName.DisplayShortest() {
+		t.Fatalf("expected resolved name to be %q, got %q", targetName.DisplayShortest(), resolved.DisplayShortest())
+	}
+
+	// Test that "otherprefix-foo" does not resolve
+	otherName := model.ParseName("otherprefix-foo")
+	_, wasResolved, err = store.ResolveName(otherName)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+	if wasResolved {
+		t.Fatal("expected name not to be resolved")
+	}
+
+	// Test that exact alias takes precedence
+	exactAlias := model.ParseName("myprefix-exact")
+	exactTarget := model.ParseName("exacttarget")
+	if err := store.Set(exactAlias, exactTarget, false); err != nil {
+		t.Fatal(err)
+	}
+
+	resolved, wasResolved, err = store.ResolveName(exactAlias)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+	if !wasResolved {
+		t.Fatal("expected name to be resolved")
+	}
+	if resolved.DisplayShortest() != exactTarget.DisplayShortest() {
+		t.Fatalf("expected resolved name to be %q (exact match), got %q", exactTarget.DisplayShortest(), resolved.DisplayShortest())
+	}
+}
+
+func TestPrefixAliasLongestMatchWins(t *testing.T) {
+	tmpDir := t.TempDir()
+	store, err := createStore(filepath.Join(tmpDir, "server.json"))
+	if err != nil {
+		t.Fatal(err)
+	}
+
+	// Add two prefix aliases with overlapping patterns
+	store.mu.Lock()
+	store.prefixEntries = []aliasEntry{
+		{Alias: "abc-", Target: "short-target", PrefixMatching: true},
+		{Alias: "abc-def-", Target: "long-target", PrefixMatching: true},
+	}
+	store.sortPrefixEntriesLocked()
+	store.mu.Unlock()
+
+	// "abc-def-ghi" should match the longer prefix "abc-def-"
+	testName := model.ParseName("abc-def-ghi")
+	resolved, wasResolved, err := store.ResolveName(testName)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+	if !wasResolved {
+		t.Fatal("expected name to be resolved")
+	}
+	expectedLongTarget := model.ParseName("long-target")
+	if resolved.DisplayShortest() != expectedLongTarget.DisplayShortest() {
+		t.Fatalf("expected resolved name to be %q (longest prefix match), got %q", expectedLongTarget.DisplayShortest(), resolved.DisplayShortest())
+	}
+
+	// "abc-xyz" should match the shorter prefix "abc-"
+	testName2 := model.ParseName("abc-xyz")
+	resolved, wasResolved, err = store.ResolveName(testName2)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+	if !wasResolved {
+		t.Fatal("expected name to be resolved")
+	}
+	expectedShortTarget := model.ParseName("short-target")
+	if resolved.DisplayShortest() != expectedShortTarget.DisplayShortest() {
+		t.Fatalf("expected resolved name to be %q, got %q", expectedShortTarget.DisplayShortest(), resolved.DisplayShortest())
+	}
+}
+
+func TestPrefixAliasChain(t *testing.T) {
+	tmpDir := t.TempDir()
+	store, err := createStore(filepath.Join(tmpDir, "server.json"))
+	if err != nil {
+		t.Fatal(err)
+	}
+
+	// Create a chain: prefix "test-" -> "intermediate" -> "final"
+	intermediate := model.ParseName("intermediate")
+	final := model.ParseName("final")
+
+	// Add prefix alias
+	store.mu.Lock()
+	store.prefixEntries = []aliasEntry{
+		{Alias: "test-", Target: "intermediate", PrefixMatching: true},
+	}
+	store.mu.Unlock()
+
+	// Add exact alias for the intermediate step
+	if err := store.Set(intermediate, final, false); err != nil {
+		t.Fatal(err)
+	}
+
+	// "test-foo" should resolve through the chain to "final"
+	testName := model.ParseName("test-foo")
+	resolved, wasResolved, err := store.ResolveName(testName)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+	if !wasResolved {
+		t.Fatal("expected name to be resolved")
+	}
+	if resolved.DisplayShortest() != final.DisplayShortest() {
+		t.Fatalf("expected resolved name to be %q, got %q", final.DisplayShortest(), resolved.DisplayShortest())
+	}
+}
+
+func TestPrefixAliasCRUD(t *testing.T) {
+	gin.SetMode(gin.TestMode)
+	t.Setenv("HOME", t.TempDir())
+
+	s := Server{}
+
+	// Create a prefix alias via API
+	w := createRequest(t, s.CreateAliasHandler, aliasEntry{
+		Alias:          "myprefix-",
+		Target:         "llama2",
+		PrefixMatching: true,
+	})
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d: %s", w.Code, w.Body.String())
+	}
+
+	var createResp aliasEntry
+	if err := json.NewDecoder(w.Body).Decode(&createResp); err != nil {
+		t.Fatal(err)
+	}
+	if !createResp.PrefixMatching {
+		t.Fatal("expected prefix_matching to be true in response")
+	}
+
+	// List aliases and verify the prefix alias is included
+	w = createRequest(t, s.ListAliasesHandler, nil)
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d", w.Code)
+	}
+
+	var listResp aliasListResponse
+	if err := json.NewDecoder(w.Body).Decode(&listResp); err != nil {
+		t.Fatal(err)
+	}
+
+	found := false
+	for _, a := range listResp.Aliases {
+		if a.PrefixMatching && a.Target == "llama2" {
+			found = true
+			break
+		}
+	}
+	if !found {
+		t.Fatal("expected to find prefix alias in list")
+	}
+
+	// Delete the prefix alias
+	w = createRequest(t, s.DeleteAliasHandler, aliasDeleteRequest{Alias: "myprefix-"})
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d: %s", w.Code, w.Body.String())
+	}
+
+	// Verify it's deleted
+	w = createRequest(t, s.ListAliasesHandler, nil)
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d", w.Code)
+	}
+
+	if err := json.NewDecoder(w.Body).Decode(&listResp); err != nil {
+		t.Fatal(err)
+	}
+
+	for _, a := range listResp.Aliases {
+		if a.PrefixMatching {
+			t.Fatal("expected prefix alias to be deleted")
+		}
+	}
+}
+
+func TestPrefixAliasCaseInsensitive(t *testing.T) {
+	tmpDir := t.TempDir()
+	store, err := createStore(filepath.Join(tmpDir, "server.json"))
+	if err != nil {
+		t.Fatal(err)
+	}
+
+	// Add a prefix alias with mixed case
+	store.mu.Lock()
+	store.prefixEntries = []aliasEntry{
+		{Alias: "MyPrefix-", Target: "targetmodel", PrefixMatching: true},
+	}
+	store.mu.Unlock()
+
+	// Test that matching is case-insensitive
+	testName := model.ParseName("myprefix-foo")
+	resolved, wasResolved, err := store.ResolveName(testName)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+	if !wasResolved {
+		t.Fatal("expected name to be resolved (case-insensitive)")
+	}
+	expectedTarget := model.ParseName("targetmodel")
+	if resolved.DisplayShortest() != expectedTarget.DisplayShortest() {
+		t.Fatalf("expected resolved name to be %q, got %q", expectedTarget.DisplayShortest(), resolved.DisplayShortest())
+	}
+
+	// Test uppercase request
+	testName2 := model.ParseName("MYPREFIX-BAR")
+	_, wasResolved, err = store.ResolveName(testName2)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+	if !wasResolved {
+		t.Fatal("expected name to be resolved (uppercase)")
+	}
+}
+
+func TestPrefixAliasLocalModelPrecedence(t *testing.T) {
+	gin.SetMode(gin.TestMode)
+	t.Setenv("HOME", t.TempDir())
+
+	s := Server{}
+
+	// Create a local model that would match a prefix alias
+	w := createRequest(t, s.CreateHandler, api.CreateRequest{
+		Model:      "myprefix-localmodel",
+		RemoteHost: "example.com",
+		From:       "test",
+		Info: map[string]any{
+			"capabilities": []string{"completion"},
+		},
+		Stream: &stream,
+	})
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d: %s", w.Code, w.Body.String())
+	}
+
+	// Create a prefix alias that would match the local model name
+	w = createRequest(t, s.CreateAliasHandler, aliasEntry{
+		Alias:          "myprefix-",
+		Target:         "someothermodel",
+		PrefixMatching: true,
+	})
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d: %s", w.Code, w.Body.String())
+	}
+
+	// Verify that resolving "myprefix-localmodel" returns the local model, not the alias target
+	store, err := s.aliasStore()
+	if err != nil {
+		t.Fatal(err)
+	}
+
+	localModelName := model.ParseName("myprefix-localmodel")
+	resolved, wasResolved, err := store.ResolveName(localModelName)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+	if wasResolved {
+		t.Fatalf("expected local model to take precedence (wasResolved should be false), but got resolved to %q", resolved.DisplayShortest())
+	}
+	if resolved.DisplayShortest() != localModelName.DisplayShortest() {
+		t.Fatalf("expected resolved name to be local model %q, got %q", localModelName.DisplayShortest(), resolved.DisplayShortest())
+	}
+
+	// Also verify that a non-local model matching the prefix DOES resolve to the alias target
+	nonLocalName := model.ParseName("myprefix-nonexistent")
+	resolved, wasResolved, err = store.ResolveName(nonLocalName)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+	if !wasResolved {
+		t.Fatal("expected non-local model to resolve via prefix alias")
+	}
+	expectedTarget := model.ParseName("someothermodel")
+	if resolved.DisplayShortest() != expectedTarget.DisplayShortest() {
+		t.Fatalf("expected resolved name to be %q, got %q", expectedTarget.DisplayShortest(), resolved.DisplayShortest())
+	}
+}

server/routes_request_log_test.go

@@ -1,128 +0,0 @@
-package server
-
-import (
-	"io"
-	"net/http"
-	"net/http/httptest"
-	"os"
-	"path/filepath"
-	"strings"
-	"testing"
-
-	"github.com/gin-gonic/gin"
-)
-
-func TestInferenceRequestLoggerMiddlewareWritesReplayArtifacts(t *testing.T) {
-	gin.SetMode(gin.TestMode)
-
-	logDir := t.TempDir()
-	requestLogger := &inferenceRequestLogger{dir: logDir}
-
-	const route = "/v1/chat/completions"
-	const requestBody = `{"model":"test-model","messages":[{"role":"user","content":"hello"}]}`
-
-	var bodySeenByHandler string
-
-	r := gin.New()
-	r.POST(route, requestLogger.middleware(route), func(c *gin.Context) {
-		body, err := io.ReadAll(c.Request.Body)
-		if err != nil {
-			t.Fatalf("failed to read body in handler: %v", err)
-		}
-
-		bodySeenByHandler = string(body)
-		c.Status(http.StatusOK)
-	})
-
-	req := httptest.NewRequest(http.MethodPost, route, strings.NewReader(requestBody))
-	req.Host = "127.0.0.1:11434"
-	req.Header.Set("Content-Type", "application/json")
-	w := httptest.NewRecorder()
-	r.ServeHTTP(w, req)
-
-	if w.Code != http.StatusOK {
-		t.Fatalf("expected status 200, got %d", w.Code)
-	}
-
-	if bodySeenByHandler != requestBody {
-		t.Fatalf("handler body mismatch:\nexpected: %s\ngot: %s", requestBody, bodySeenByHandler)
-	}
-
-	bodyFiles, err := filepath.Glob(filepath.Join(logDir, "*_v1_chat_completions_body.json"))
-	if err != nil {
-		t.Fatalf("failed to glob body logs: %v", err)
-	}
-	if len(bodyFiles) != 1 {
-		t.Fatalf("expected 1 body log, got %d (%v)", len(bodyFiles), bodyFiles)
-	}
-
-	curlFiles, err := filepath.Glob(filepath.Join(logDir, "*_v1_chat_completions_request.sh"))
-	if err != nil {
-		t.Fatalf("failed to glob curl logs: %v", err)
-	}
-	if len(curlFiles) != 1 {
-		t.Fatalf("expected 1 curl log, got %d (%v)", len(curlFiles), curlFiles)
-	}
-
-	bodyData, err := os.ReadFile(bodyFiles[0])
-	if err != nil {
-		t.Fatalf("failed to read body log: %v", err)
-	}
-	if string(bodyData) != requestBody {
-		t.Fatalf("body log mismatch:\nexpected: %s\ngot: %s", requestBody, string(bodyData))
-	}
-
-	curlData, err := os.ReadFile(curlFiles[0])
-	if err != nil {
-		t.Fatalf("failed to read curl log: %v", err)
-	}
-
-	curlString := string(curlData)
-	if !strings.Contains(curlString, "http://127.0.0.1:11434"+route) {
-		t.Fatalf("curl log does not contain expected route URL: %s", curlString)
-	}
-
-	bodyFileName := filepath.Base(bodyFiles[0])
-	if !strings.Contains(curlString, "@\"${SCRIPT_DIR}/"+bodyFileName+"\"") {
-		t.Fatalf("curl log does not reference sibling body file: %s", curlString)
-	}
-}
-
-func TestNewInferenceRequestLoggerCreatesDirectory(t *testing.T) {
-	requestLogger, err := newInferenceRequestLogger()
-	if err != nil {
-		t.Fatalf("expected no error creating request logger: %v", err)
-	}
-	t.Cleanup(func() {
-		_ = os.RemoveAll(requestLogger.dir)
-	})
-
-	if requestLogger == nil || requestLogger.dir == "" {
-		t.Fatalf("expected request logger directory to be set")
-	}
-
-	info, err := os.Stat(requestLogger.dir)
-	if err != nil {
-		t.Fatalf("expected directory to exist: %v", err)
-	}
-	if !info.IsDir() {
-		t.Fatalf("expected %q to be a directory", requestLogger.dir)
-	}
-}
-
-func TestSanitizeRouteForFilename(t *testing.T) {
-	tests := []struct {
-		route string
-		want  string
-	}{
-		{route: "/api/generate", want: "api_generate"},
-		{route: "/v1/chat/completions", want: "v1_chat_completions"},
-		{route: "/v1/messages", want: "v1_messages"},
-	}
-
-	for _, tt := range tests {
-		if got := sanitizeRouteForFilename(tt.route); got != tt.want {
-			t.Fatalf("sanitizeRouteForFilename(%q) = %q, want %q", tt.route, got, tt.want)
-		}
-	}
-}

server/sched.go

@@ -5,9 +5,13 @@ import (
 	"errors"
 	"fmt"
 	"log/slog"
+	"math/rand"
+	"os"
+	"os/exec"
 	"reflect"
 	"slices"
 	"sort"
+	"strconv"
 	"strings"
 	"sync"
 	"time"
@@ -21,6 +25,7 @@ import (
 	"github.com/ollama/ollama/logutil"
 	"github.com/ollama/ollama/ml"
 	"github.com/ollama/ollama/types/model"
+	"github.com/ollama/ollama/x/imagegen"
 	"github.com/ollama/ollama/x/mlxrunner"
 )
 
@@ -195,25 +200,14 @@ func (s *Scheduler) processPending(ctx context.Context) {
 						slog.Debug("updating default concurrency", "OLLAMA_MAX_LOADED_MODELS", maxRunners, "gpu_count", len(gpus))
 					}
 
-					// Check for image generation models - all use MLX runner
-					if slices.Contains(pending.model.Config.Capabilities, "image") {
-						if s.loadMLX(pending) {
+					// Check for experimental safetensors LLM models
+					if pending.model.Config.ModelFormat == "safetensors" {
+						if s.loadSafetensors(pending) {
 							break
 						}
 						continue
 					}
 
-					// Check for experimental safetensors LLM models
-					if pending.model.Config.ModelFormat == "safetensors" {
-						if slices.Contains(pending.model.Config.Capabilities, "completion") {
-							// LLM model with safetensors format - use MLX runner
-							if s.loadMLX(pending) {
-								break
-							}
-							continue
-						}
-					}
-
 					// Load model for fitting
 					logutil.Trace("loading model metadata", "model", pending.model.ModelPath)
 					ggml, err := llm.LoadModel(pending.model.ModelPath, 1024)
@@ -563,20 +557,101 @@ iGPUScan:
 	return false
 }
 
-// loadMLX loads an experimental safetensors model using the unified MLX runner.
-// This supports both LLM (completion) and image generation models.
-func (s *Scheduler) loadMLX(req *LlmRequest) bool {
-	// Determine mode based on capabilities
-	var mode mlxrunner.ModelMode
+func subproc(args, environ []string) (*exec.Cmd, int, error) {
+	exe, err := os.Executable()
+	if err != nil {
+		return nil, 0, fmt.Errorf("unable to lookup executable path: %w", err)
+	}
+
+	for range 3 {
+		// get a random port in the ephemeral range
+		port := rand.Intn(65535-49152) + 49152
+		cmd := exec.Command(exe, slices.Concat([]string{"runner"}, args, []string{"--port", strconv.Itoa(port)})...)
+		cmd.Env = slices.Concat(os.Environ(), environ)
+		cmd.Stdout = os.Stderr
+		cmd.Stderr = os.Stderr
+		if err := cmd.Start(); err != nil {
+			continue
+		}
+
+		return cmd, port, nil
+	}
+
+	return nil, 0, fmt.Errorf("unable to start subprocess after multiple attempts")
+}
+
+func (s *Scheduler) loadSafetensors(req *LlmRequest) bool {
 	if slices.Contains(req.model.Config.Capabilities, "image") {
-		mode = mlxrunner.ModeImageGen
+		return s.loadImageGen(req)
+	}
+
+	args := []string{"--mlx-engine", "--model", req.model.ShortName}
+	environ := []string{}
+	cmd, port, err := subproc(args, environ)
+	if err != nil {
+		req.errCh <- fmt.Errorf("failed to start mlx subprocess: %w", err)
+		return true
+	}
+
+	sessionDuration := envconfig.KeepAlive()
+	if req.sessionDuration != nil {
+		sessionDuration = req.sessionDuration.Duration
+	}
+
+	runner := &runnerRef{
+		model:           req.model,
+		modelPath:       req.model.ModelPath,
+		Options:         &req.opts,
+		loading:         false,
+		sessionDuration: sessionDuration,
+		llama: &mlxrunner.Client{
+			Cmd:  cmd,
+			Port: port,
+		},
+	}
+
+	s.loadedMu.Lock()
+	s.loaded[req.model.ModelPath] = runner
+	s.loadedMu.Unlock()
+
+	runner.refMu.Lock()
+	if sessionDuration > 0 {
+		runner.expireTimer = time.AfterFunc(sessionDuration, func() {
+			s.expiredCh <- runner
+		})
+	}
+	runner.refMu.Unlock()
+	req.useLoadedRunner(runner, s.finishedReqCh)
+
+	for range time.Tick(20 * time.Millisecond) {
+		if err := func() error {
+			ctx, cancel := context.WithTimeout(context.Background(), 200*time.Millisecond)
+			defer cancel()
+			return runner.llama.Ping(ctx)
+		}(); err != nil {
+			continue
+		}
+
+		break
+	}
+
+	return true
+}
+
+// loadImageGen loads an experimental safetensors model using the unified MLX runner.
+// This supports both LLM (completion) and image generation models.
+func (s *Scheduler) loadImageGen(req *LlmRequest) bool {
+	// Determine mode based on capabilities
+	var mode imagegen.ModelMode
+	if slices.Contains(req.model.Config.Capabilities, "image") {
+		mode = imagegen.ModeImageGen
 	} else {
-		mode = mlxrunner.ModeLLM
+		mode = imagegen.ModeLLM
 	}
 
 	// Use model name for MLX (it resolves manifests by name, not file path)
 	modelName := req.model.ShortName
-	server, err := mlxrunner.NewServer(modelName, mode)
+	server, err := imagegen.NewServer(modelName, mode)
 	if err != nil {
 		req.errCh <- err
 		return true

tokenizer/bytepairencoding.go

@@ -1,4 +1,4 @@
-package model
+package tokenizer
 
 import (
 	"cmp"
@@ -18,19 +18,19 @@ type BytePairEncoding struct {
 	regexps []*regexp2.Regexp
 }
 
-var _ TextProcessor = (*BytePairEncoding)(nil)
+var _ Tokenizer = (*BytePairEncoding)(nil)
 
-func NewBytePairEncoding(vocab *Vocabulary, pretokenizers ...string) BytePairEncoding {
-	if len(pretokenizers) == 0 {
+func NewBytePairEncoding(vocab *Vocabulary, pretokenizer ...string) BytePairEncoding {
+	if len(pretokenizer) == 0 {
 		// set default byte-level pretokenizer if none provided, e.g.
-		// https://github.com/huggingface/tokenizers/blob/main/tokenizers/src/pre_tokenizers/byte_level.rs#L44
-		pretokenizers = []string{`'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+`}
+		// https://github.com/huggingface/tokenizer/blob/main/tokenizer/src/pre_tokenizer/byte_level.rs#L44
+		pretokenizer = []string{`'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+`}
 	}
 
 	return BytePairEncoding{
 		vocab: vocab,
 		regexps: slices.Collect(func(yield func(*regexp2.Regexp) bool) {
-			for _, p := range pretokenizers {
+			for _, p := range pretokenizer {
 				if !yield(regexp2.MustCompile(p, regexp2.RE2)) {
 					return
 				}

tokenizer/bytepairencoding_test.go

@@ -1,4 +1,4 @@
-package model
+package tokenizer
 
 import (
 	"bufio"
@@ -17,7 +17,7 @@ import (
 func llama(t testing.TB) BytePairEncoding {
 	t.Helper()
 
-	f, err := os.Open(filepath.Join("testdata", "llama3.2", "encoder.json"))
+	f, err := os.Open(filepath.FromSlash("testdata/llama3.2/encoder.json"))
 	if err != nil {
 		t.Fatal(err)
 	}
@@ -43,7 +43,7 @@ func llama(t testing.TB) BytePairEncoding {
 		}
 	}
 
-	f, err = os.Open(filepath.Join("testdata", "llama3.2", "vocab.bpe"))
+	f, err = os.Open(filepath.FromSlash("testdata/llama3.2/vocab.bpe"))
 	if err != nil {
 		t.Fatal(err)
 	}

tokenizer/sentencepiece.go

@@ -1,4 +1,4 @@
-package model
+package tokenizer
 
 import (
 	"container/heap"
@@ -17,7 +17,7 @@ type SentencePiece struct {
 	vocab       *Vocabulary
 }
 
-var _ TextProcessor = (*SentencePiece)(nil)
+var _ Tokenizer = (*SentencePiece)(nil)
 
 func (spm SentencePiece) Vocabulary() *Vocabulary {
 	return spm.vocab
@@ -224,7 +224,7 @@ func (spm SentencePiece) Decode(ids []int32) (string, error) {
 		data := spm.vocab.Decode(id)
 		data = strings.ReplaceAll(data, spmWhitespaceSep, " ")
 
-		// For tokenizers that use byte tokens like "<0xEA>"
+		// For tokenizer that use byte tokens like "<0xEA>"
 		// convert them to the partial unicode character
 		// so they are buffered correctly by the runner instead
 		// of being sent back to the api as "<0xEA>"

tokenizer/sentencepiece_test.go

@@ -1,4 +1,4 @@
-package model
+package tokenizer
 
 import (
 	"log/slog"
@@ -15,7 +15,7 @@ import (
 func loadSentencePieceVocab(t *testing.T) SentencePiece {
 	t.Helper()
 
-	bts, err := os.ReadFile(filepath.Join("testdata", "gemma2", "tokenizer.model"))
+	bts, err := os.ReadFile(filepath.FromSlash("testdata/gemma2/tokenizer.model"))
 	if err != nil {
 		t.Fatal(err)
 	}

tokenizer/tokenizer.go

@@ -0,0 +1,310 @@
+package tokenizer
+
+import (
+	"encoding/json"
+	"errors"
+	"io"
+	"os"
+
+	"github.com/ollama/ollama/types/model"
+)
+
+const (
+	TOKEN_TYPE_NORMAL = iota + 1
+	TOKEN_TYPE_UNKNOWN
+	TOKEN_TYPE_CONTROL
+	TOKEN_TYPE_USER_DEFINED
+	TOKEN_TYPE_UNUSED
+	TOKEN_TYPE_BYTE
+)
+
+type Tokenizer interface {
+	Encode(s string, addSpecial bool) ([]int32, error)
+	Decode([]int32) (string, error)
+	Is(int32, Special) bool
+	Vocabulary() *Vocabulary
+}
+
+func New(root *model.Root) (Tokenizer, error) {
+	f, err := root.Open("tokenizer.json")
+	if err != nil {
+		return nil, err
+	}
+	defer f.Close()
+
+	var tokenizer struct {
+		Model struct {
+			Type   string           `json:"type"`
+			Vocab  map[string]int32 `json:"vocab"`
+			Merges json.RawMessage  `json:"merges"`
+		} `json:"model"`
+
+		PreTokenizer json.RawMessage `json:"pre_tokenizer"`
+		Decoder      json.RawMessage `json:"decoder"`
+
+		AddedTokens []struct {
+			ID      int32  `json:"id"`
+			Content string `json:"content"`
+			Special bool   `json:"special"`
+		} `json:"added_tokens"`
+	}
+
+	if err := json.NewDecoder(f).Decode(&tokenizer); err != nil {
+		return nil, err
+	}
+
+	special := make(map[int32]struct{})
+	for _, token := range tokenizer.AddedTokens {
+		tokenizer.Model.Vocab[token.Content] = token.ID
+		special[token.ID] = struct{}{}
+	}
+
+	vocab, err := specialTokens(root, tokenizer.Model.Vocab)
+	if err != nil {
+		return nil, err
+	}
+
+	vocab.Values = make([]string, len(tokenizer.Model.Vocab))
+	vocab.Scores = make([]float32, len(tokenizer.Model.Vocab))
+	vocab.Types = make([]int32, len(tokenizer.Model.Vocab))
+	for content, id := range tokenizer.Model.Vocab {
+		vocab.Values[id] = content
+		vocab.Scores[id] = float32(id)
+		vocab.Types[id] = TOKEN_TYPE_NORMAL
+		if _, ok := special[id]; ok {
+			vocab.Types[id] = TOKEN_TYPE_USER_DEFINED
+		}
+	}
+
+	if tokenizer.Model.Merges != nil {
+		var pairs [][]string
+		if err := json.Unmarshal(tokenizer.Model.Merges, &pairs); err == nil {
+			vocab.Merges = make([]string, len(pairs))
+			for i, pair := range pairs {
+				vocab.Merges[i] = pair[0] + " " + pair[1]
+			}
+		} else if err := json.Unmarshal(tokenizer.Model.Merges, &vocab.Merges); err != nil {
+			return nil, err
+		}
+	}
+
+	vocab.valuesOnce.Do(func() {})
+	vocab.values = tokenizer.Model.Vocab
+
+	if tokenizer.Model.Type == "WordPiece" {
+		return NewWordPiece(vocab, true), nil
+	}
+
+	if tokenizer.Decoder != nil {
+		var decoder struct {
+			Type     string `json:"type"`
+			Decoders []struct {
+				Type    string `json:"type"`
+				Pattern struct {
+					String string `json:"string"`
+				} `json:"pattern"`
+			} `json:"decoders"`
+		}
+
+		if err := json.Unmarshal(tokenizer.Decoder, &decoder); err != nil {
+			return nil, err
+		}
+
+		if decoder.Type == "Sequence" {
+			for _, d := range decoder.Decoders {
+				if d.Type == "Replace" && d.Pattern.String == "▁" {
+					return NewSentencePiece(vocab), nil
+				}
+			}
+		}
+	}
+
+	var pretokenizers []string
+	if tokenizer.PreTokenizer != nil {
+		var pretokenizer struct {
+			Type          string `json:"type"`
+			Pretokenizers []struct {
+				Type    string `json:"type"`
+				Pattern struct {
+					Regex string
+				} `json:"pattern"`
+				IndividualDigits bool `json:"individual_digits"`
+			}
+		}
+
+		if err := json.Unmarshal(tokenizer.PreTokenizer, &pretokenizer); err != nil {
+			return nil, err
+		}
+
+		if pretokenizer.Type == "Sequence" {
+			for _, pretokenizer := range pretokenizer.Pretokenizers {
+				switch pretokenizer.Type {
+				case "Digits":
+					if pretokenizer.IndividualDigits {
+						pretokenizers = append(pretokenizers, `\d`)
+					} else {
+						pretokenizers = append(pretokenizers, `\d+`)
+					}
+				case "Punctuation":
+					pretokenizers = append(pretokenizers, `[^\p{L}\p{N}]+`)
+				case "Split":
+					pretokenizers = append(pretokenizers, pretokenizer.Pattern.Regex)
+				case "WhitespaceSplit":
+					pretokenizers = append(pretokenizers, `\s+(?!\S)|\s+`)
+				}
+			}
+		}
+	}
+
+	return NewBytePairEncoding(vocab, pretokenizers...), nil
+}
+
+// valueOrValues is a type that can unmarshal from either a single value or an array of values.
+type valueOrValues[E any] []E
+
+func (m *valueOrValues[E]) UnmarshalJSON(data []byte) error {
+	var s []E
+	if err := json.Unmarshal(data, &s); err != nil {
+		var e E
+		if err := json.Unmarshal(data, &e); err != nil {
+			return err
+		}
+		s = []E{e}
+	}
+	*m = valueOrValues[E](s)
+	return nil
+}
+
+type specialTokenIDs struct {
+	BOSTokenID valueOrValues[int32] `json:"bos_token_id"`
+	EOSTokenID valueOrValues[int32] `json:"eos_token_id"`
+}
+
+// stringOrContent is a type that can unmarshal from either a string or an object with a "content" field.
+type stringOrContent string
+
+func (t *stringOrContent) UnmarshalJSON(data []byte) error {
+	var s string
+	if err := json.Unmarshal(data, &s); err != nil {
+		var m map[string]any
+		if err := json.Unmarshal(data, &m); err != nil {
+			return err
+		}
+		if content, ok := m["content"].(string); ok {
+			s = content
+		}
+	}
+	*t = stringOrContent(s)
+	return nil
+}
+
+func specialTokens(root *model.Root, values map[string]int32) (*Vocabulary, error) {
+	var vocab Vocabulary
+	for _, c := range []struct {
+		name string
+		fn   func(io.Reader) error
+	}{
+		{
+			name: "generation_config.json",
+			fn: func(r io.Reader) error {
+				var c specialTokenIDs
+				if err := json.NewDecoder(r).Decode(&c); err != nil {
+					return err
+				}
+
+				vocab.BOS = c.BOSTokenID
+				vocab.EOS = c.EOSTokenID
+				return nil
+			},
+		},
+		{
+			name: "config.json",
+			fn: func(r io.Reader) error {
+				var c specialTokenIDs
+				if err := json.NewDecoder(r).Decode(&c); err != nil {
+					return err
+				}
+
+				if len(vocab.BOS) == 0 {
+					vocab.BOS = c.BOSTokenID
+				}
+
+				if len(vocab.EOS) == 0 {
+					vocab.EOS = c.EOSTokenID
+				}
+
+				return nil
+			},
+		},
+		{
+			name: "tokenizer_config.json",
+			fn: func(r io.Reader) error {
+				var c struct {
+					BOSToken    stringOrContent `json:"bos_token"`
+					EOSToken    stringOrContent `json:"eos_token"`
+					PADToken    stringOrContent `json:"pad_token"`
+					AddBOSToken bool            `json:"add_bos_token"`
+					AddEOSToken bool            `json:"add_eos_token"`
+				}
+				if err := json.NewDecoder(r).Decode(&c); err != nil {
+					return err
+				}
+
+				if len(vocab.BOS) == 0 && c.BOSToken != "" {
+					if id, ok := values[string(c.BOSToken)]; ok {
+						vocab.BOS = []int32{id}
+					}
+				}
+
+				if len(vocab.EOS) == 0 && c.EOSToken != "" {
+					if id, ok := values[string(c.EOSToken)]; ok {
+						vocab.EOS = []int32{id}
+					}
+				}
+
+				vocab.AddBOS = c.AddBOSToken
+				vocab.AddEOS = c.AddEOSToken
+				return nil
+			},
+		},
+		{
+			name: "special_tokens_map.json",
+			fn: func(r io.Reader) error {
+				var c map[string]stringOrContent
+				if err := json.NewDecoder(r).Decode(&c); err != nil {
+					return err
+				}
+
+				if bos, ok := c["bos_token"]; ok && len(vocab.BOS) == 0 {
+					if id, ok := values[string(bos)]; ok {
+						vocab.BOS = []int32{id}
+					}
+				}
+
+				if eos, ok := c["eos_token"]; ok && len(vocab.EOS) == 0 {
+					if id, ok := values[string(eos)]; ok {
+						vocab.EOS = []int32{id}
+					}
+				}
+
+				return nil
+			},
+		},
+	} {
+		if err := func() error {
+			f, err := root.Open(c.name)
+			if errors.Is(err, os.ErrNotExist) {
+				return nil
+			} else if err != nil {
+				return err
+			}
+			defer f.Close()
+
+			return c.fn(f)
+		}(); err != nil {
+			return nil, err
+		}
+	}
+
+	return &vocab, nil
+}

tokenizer/vocabulary.go

@@ -1,4 +1,4 @@
-package model
+package tokenizer
 
 import (
 	"log/slog"

tokenizer/vocabulary_test.go

@@ -1,4 +1,4 @@
-package model
+package tokenizer
 
 import (
 	"testing"

tokenizer/wordpiece.go

@@ -1,4 +1,4 @@
-package model
+package tokenizer
 
 import (
 	"fmt"
@@ -32,7 +32,7 @@ var wordPieceReplacer = strings.NewReplacer(
 	" 're", "'re",
 )
 
-// Decode implements TextProcessor.
+// Decode implements Tokenizer.
 func (wpm WordPiece) Decode(ids []int32) (string, error) {
 	var sb strings.Builder
 	for i, id := range ids {
@@ -96,7 +96,7 @@ func (wpm WordPiece) words(s string) iter.Seq[string] {
 	}
 }
 
-// Encode implements TextProcessor.
+// Encode implements Tokenizer.
 func (wpm WordPiece) Encode(s string, addSpecial bool) ([]int32, error) {
 	var ids []int32
 
@@ -151,17 +151,17 @@ func (wpm WordPiece) Encode(s string, addSpecial bool) ([]int32, error) {
 	return ids, nil
 }
 
-// Is implements TextProcessor.
+// Is implements Tokenizer.
 func (wpm WordPiece) Is(id int32, special Special) bool {
 	return wpm.vocab.Is(id, special)
 }
 
-// Vocabulary implements TextProcessor.
+// Vocabulary implements Tokenizer.
 func (wpm WordPiece) Vocabulary() *Vocabulary {
 	return wpm.vocab
 }
 
-var _ TextProcessor = (*WordPiece)(nil)
+var _ Tokenizer = (*WordPiece)(nil)
 
 func NewWordPiece(vocab *Vocabulary, lowercase bool) WordPiece {
 	return WordPiece{

tokenizer/wordpiece_test.go

@@ -1,4 +1,4 @@
-package model
+package tokenizer
 
 import (
 	"slices"

types/model/file.go

@@ -0,0 +1,309 @@
+package model
+
+import (
+	"crypto/sha256"
+	"encoding/json"
+	"errors"
+	"fmt"
+	"hash"
+	"io"
+	"io/fs"
+	"iter"
+	"maps"
+	"mime"
+	"os"
+	"path/filepath"
+	"strings"
+
+	"github.com/ollama/ollama/envconfig"
+)
+
+func root() (*os.Root, error) {
+	root, err := os.OpenRoot(envconfig.Models())
+	if err != nil {
+		return nil, err
+	}
+
+	for _, sub := range []string{"manifests", "blobs"} {
+		if _, err := root.Stat(sub); errors.Is(err, fs.ErrNotExist) {
+			if err := root.MkdirAll(sub, 0o750); err != nil {
+				return nil, err
+			}
+		} else if err != nil {
+			return nil, err
+		}
+	}
+
+	return root, nil
+}
+
+// Open opens an existing file for reading. It will return [fs.ErrNotExist]
+// if the file does not exist. The returned [*Root] can only be used for reading.
+// It is the caller's responsibility to close the file when done.
+func Open(n Name) (*Root, error) {
+	r, err := root()
+	if err != nil {
+		return nil, err
+	}
+
+	f, err := r.Open(filepath.Join("manifests", n.Filepath()))
+	if err != nil {
+		return nil, err
+	}
+	defer f.Close()
+
+	var m manifest
+	if err := json.NewDecoder(f).Decode(&m); err != nil {
+		return nil, err
+	}
+
+	blobs := make(map[string]*blob, len(m.Layers)+1)
+	blobs[NamePrefix] = m.Config
+	for _, layer := range m.Layers {
+		if layer.Name == "" && layer.MediaType != "" {
+			mediatype, _, err := mime.ParseMediaType(layer.MediaType)
+			if err != nil {
+				return nil, err
+			}
+
+			if suffix, ok := strings.CutPrefix(mediatype, MediaTypePrefix); ok {
+				layer.Name = NamePrefix + suffix
+			}
+		}
+
+		blobs[layer.Name] = layer
+	}
+
+	return &Root{
+		root:  r,
+		name:  n,
+		blobs: blobs,
+		flags: os.O_RDONLY,
+	}, nil
+}
+
+// Create creates a new file. The returned [Root] can be used for both reading
+// and writing. It is the caller's responsibility to close the file when done
+// in order to finalize any new blobs and write the manifest.
+func Create(n Name) (*Root, error) {
+	r, err := root()
+	if err != nil {
+		return nil, err
+	}
+
+	return &Root{
+		root:  r,
+		name:  n,
+		blobs: make(map[string]*blob),
+		flags: os.O_RDWR,
+	}, nil
+}
+
+type blob struct {
+	Digest    string `json:"digest"`
+	MediaType string `json:"mediaType"`
+	Name      string `json:"name,omitempty"`
+	Size      int64  `json:"size"`
+
+	// tempfile is the temporary file where the blob data is written.
+	tempfile *os.File
+
+	// hash is the hash.Hash used to compute the blob digest.
+	hash hash.Hash
+}
+
+func (b *blob) Write(p []byte) (int, error) {
+	return io.MultiWriter(b.tempfile, b.hash).Write(p)
+}
+
+func (b *blob) Filepath() string {
+	return strings.ReplaceAll(b.Digest, ":", "-")
+}
+
+type manifest struct {
+	SchemaVersion int     `json:"schemaVersion"`
+	MediaType     string  `json:"mediaType"`
+	Config        *blob   `json:"config"`
+	Layers        []*blob `json:"layers"`
+}
+
+// Root represents a model file. It can be used to read and write blobs
+// associated with the model.
+//
+// Blobs are identified by name. Certain names are special and reserved;
+// see [NamePrefix] for details.
+type Root struct {
+	root  *os.Root
+	name  Name
+	blobs map[string]*blob
+	flags int
+}
+
+const MediaTypePrefix = "application/vnd.ollama"
+
+// NamePrefix is the prefix used for identifying special names. Names
+// with this prefix are idenfitied by their media types:
+//
+//   - name: NamePrefix + suffix
+//   - mediaType: [MediaTypePrefix] + suffix
+//
+// For example:
+//
+//   - name: "./..image.model"
+//   - mediaType: "application/vnd.ollama.image.model"
+//
+// NamePrefix by itself identifies the manifest config.
+const NamePrefix = "./."
+
+// Open opens the named blob for reading. It is the caller's responsibility
+// to close the returned [io.ReadCloser] when done. It will return
+// [fs.ErrNotExist] if the blob does not exist.
+func (r Root) Open(name string) (io.ReadCloser, error) {
+	if b, ok := r.blobs[name]; ok {
+		r, err := r.root.Open(filepath.Join("blobs", b.Filepath()))
+		if err != nil {
+			return nil, err
+		}
+		return r, nil
+	}
+
+	return nil, fs.ErrNotExist
+}
+
+func (r Root) ReadFile(name string) ([]byte, error) {
+	f, err := r.Open(name)
+	if err != nil {
+		return nil, err
+	}
+	defer f.Close()
+
+	return io.ReadAll(f)
+}
+
+// Create creates or replaces a named blob in the file. If the blob already
+// exists, it will be overwritten. It will return [fs.ErrInvalid] if the file
+// was opened in read-only mode. The returned [io.Writer] can be used to write
+// to the blob and does not need be closed, but the file must be closed to
+// finalize the blob.
+func (r *Root) Create(name string) (io.Writer, error) {
+	if r.flags&os.O_RDWR != 0 {
+		w, err := os.CreateTemp(r.root.Name(), "")
+		if err != nil {
+			return nil, err
+		}
+
+		r.blobs[name] = &blob{Name: name, tempfile: w, hash: sha256.New()}
+		return r.blobs[name], nil
+	}
+
+	return nil, fs.ErrInvalid
+}
+
+// Close closes the file. If the file was opened in read-write mode, it
+// will finalize any writeable blobs and write the manifest.
+func (r *Root) Close() error {
+	if r.flags&os.O_RDWR != 0 {
+		for _, b := range r.blobs {
+			if b.tempfile != nil {
+				fi, err := b.tempfile.Stat()
+				if err != nil {
+					return err
+				}
+
+				if err := b.tempfile.Close(); err != nil {
+					return err
+				}
+
+				b.Size = fi.Size()
+				b.Digest = fmt.Sprintf("sha256:%x", b.hash.Sum(nil))
+
+				if suffix, ok := strings.CutPrefix(b.Name, NamePrefix); ok {
+					if b.Name == NamePrefix {
+						b.MediaType = "application/vnd.docker.container.image.v1+json"
+					} else {
+						b.MediaType = MediaTypePrefix + suffix
+					}
+					b.Name = ""
+				}
+
+				rel, err := filepath.Rel(r.root.Name(), b.tempfile.Name())
+				if err != nil {
+					return err
+				}
+
+				if err := r.root.Rename(rel, filepath.Join("blobs", b.Filepath())); err != nil {
+					return err
+				}
+			}
+		}
+
+		p := filepath.Join("manifests", r.name.Filepath())
+		if _, err := r.root.Stat(filepath.Dir(p)); errors.Is(err, os.ErrNotExist) {
+			if err := r.root.MkdirAll(filepath.Dir(p), 0o750); err != nil {
+				return err
+			}
+		} else if err != nil {
+			return err
+		}
+
+		f, err := r.root.OpenFile(p, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, 0o640)
+		if err != nil {
+			return err
+		}
+		defer f.Close()
+
+		if err := json.NewEncoder(f).Encode(manifest{
+			SchemaVersion: 2,
+			MediaType:     "application/vnd.docker.distribution.manifest.v2+json",
+			Config:        r.blobs[NamePrefix],
+			Layers: func() []*blob {
+				blobs := make([]*blob, 0, len(r.blobs))
+				for name, b := range r.blobs {
+					if name != NamePrefix {
+						blobs = append(blobs, b)
+					}
+				}
+				return blobs
+			}(),
+		}); err != nil {
+			return err
+		}
+	}
+
+	return r.root.Close()
+}
+
+// Name returns the name of the file.
+func (r Root) Name() Name {
+	return r.name
+}
+
+// Names returns an iterator over the names in the file.
+func (r Root) Names() iter.Seq[string] {
+	return maps.Keys(r.blobs)
+}
+
+// Glob returns an iterator over the names in the file that match the given
+// pattern.
+//
+// The pattern syntax is the same as [filepath.Match]. As with filepath.Match,
+// the only possible returned error is ErrBadPattern, when pattern is malformed.
+func (r Root) Glob(pattern string) (iter.Seq[string], error) {
+	if _, err := filepath.Match(pattern, ""); err != nil {
+		return nil, err
+	}
+
+	return func(yield func(string) bool) {
+		for name, blob := range r.blobs {
+			if matched, _ := filepath.Match(pattern, name); matched {
+				if !yield(blob.Filepath()) {
+					return
+				}
+			}
+		}
+	}, nil
+}
+
+func (r Root) JoinPath(parts ...string) string {
+	return filepath.Join(append([]string{r.root.Name()}, parts...)...)
+}

types/model/file_test.go

@@ -0,0 +1,90 @@
+package model
+
+import (
+	"io"
+	"strings"
+	"testing"
+)
+
+// setup is a helper function to set up the test environment.
+func setup(t *testing.T, models map[Name]map[string]io.Reader) {
+	t.Setenv("OLLAMA_MODELS", t.TempDir())
+
+	for m, s := range models {
+		f, err := Create(m)
+		if err != nil {
+			t.Fatal(err)
+		}
+
+		for n, r := range s {
+			w, err := f.Create(n)
+			if err != nil {
+				t.Fatal(err)
+			}
+
+			if _, err := io.Copy(w, r); err != nil {
+				t.Fatal(err)
+			}
+		}
+
+		if err := f.Close(); err != nil {
+			t.Fatal(err)
+		}
+	}
+}
+
+func TestOpen(t *testing.T) {
+	setup(t, map[Name]map[string]io.Reader{
+		ParseName("namespace/model"): {
+			"./.": strings.NewReader(`{"key":"value"}`),
+		},
+		ParseName("namespace/model:8b"): {
+			"./.": strings.NewReader(`{"foo":"bar"}`),
+		},
+		ParseName("another/model"): {
+			"./.": strings.NewReader(`{"another":"config"}`),
+		},
+	})
+
+	f, err := Open(ParseName("namespace/model"))
+	if err != nil {
+		t.Fatal(err)
+	}
+
+	for _, name := range []string{"./."} {
+		r, err := f.Open(name)
+		if err != nil {
+			t.Fatal(err)
+		}
+
+		if _, err := io.ReadAll(r); err != nil {
+			t.Fatal(err)
+		}
+
+		if err := r.Close(); err != nil {
+			t.Fatal(err)
+		}
+	}
+
+	if err := f.Close(); err != nil {
+		t.Fatal(err)
+	}
+
+	t.Run("does not exist", func(t *testing.T) {
+		if _, err := Open(ParseName("namespace/unknown")); err == nil {
+			t.Error("expected error for unknown model")
+		}
+	})
+
+	t.Run("write", func(t *testing.T) {
+		f, err := Open(ParseName("namespace/model"))
+		if err != nil {
+			t.Fatal(err)
+		}
+		defer f.Close()
+
+		if _, err := f.Create("new-blob"); err == nil {
+			t.Error("expected error creating blob in read-only mode")
+		}
+	})
+}

types/model/files.go

@@ -0,0 +1,33 @@
+package model
+
+import (
+	"io/fs"
+	"iter"
+	"path/filepath"
+)
+
+func All() (iter.Seq[Name], error) {
+	r, err := root()
+	if err != nil {
+		return nil, err
+	}
+
+	manifests, err := r.OpenRoot("manifests")
+	if err != nil {
+		return nil, err
+	}
+
+	matches, err := fs.Glob(manifests.FS(), "*/*/*/*")
+	if err != nil {
+		return nil, err
+	}
+
+	return func(yield func(Name) bool) {
+		for _, match := range matches {
+			name := ParseNameFromFilepath(filepath.ToSlash(match))
+			if !yield(name) {
+				return
+			}
+		}
+	}, nil
+}

types/model/name.go

@@ -227,6 +227,17 @@ func (n Name) String() string {
 	return b.String()
 }
 
+// Set implements [flag.Value]. It parses the provided input as a name string
+// and sets the receiver to the parsed value. If the parsed name is not valid,
+// ErrUnqualifiedName is returned.
+func (n *Name) Set(s string) error {
+	*n = ParseName(s)
+	if !n.IsValid() {
+		return ErrUnqualifiedName
+	}
+	return nil
+}
+
 // DisplayShortest returns a short string version of the name.
 func (n Name) DisplayShortest() string {
 	var sb strings.Builder

x/imagegen/imagegen.go

@@ -1,6 +1,6 @@
 //go:build mlx
 
-package mlxrunner
+package imagegen
 
 import (
 	"context"
@@ -11,7 +11,7 @@ import (
 	"sync"
 	"time"
 
-	"github.com/ollama/ollama/x/imagegen"
+	"github.com/ollama/ollama/x/imagegen/manifest"
 	"github.com/ollama/ollama/x/imagegen/mlx"
 	"github.com/ollama/ollama/x/imagegen/models/flux2"
 	"github.com/ollama/ollama/x/imagegen/models/zimage"
@@ -28,8 +28,8 @@ var imageGenMu sync.Mutex
 func (s *server) loadImageModel() error {
 	// Check memory requirements before loading
 	var requiredMemory uint64
-	if manifest, err := imagegen.LoadManifest(s.modelName); err == nil {
-		requiredMemory = uint64(manifest.TotalTensorSize())
+	if modelManifest, err := manifest.LoadManifest(s.modelName); err == nil {
+		requiredMemory = uint64(modelManifest.TotalTensorSize())
 	}
 	availableMemory := mlx.GetMemoryLimit()
 	if availableMemory > 0 && requiredMemory > 0 && availableMemory < requiredMemory {
@@ -38,7 +38,7 @@ func (s *server) loadImageModel() error {
 	}
 
 	// Detect model type and load appropriate model
-	modelType := imagegen.DetectModelType(s.modelName)
+	modelType := DetectModelType(s.modelName)
 	slog.Info("detected image model type", "type", modelType)
 
 	var model ImageModel
@@ -108,7 +108,7 @@ func (s *server) handleImageCompletion(w http.ResponseWriter, r *http.Request, r
 	}
 
 	// Encode image as base64 PNG
-	imageData, err := imagegen.EncodeImageBase64(img)
+	imageData, err := EncodeImageBase64(img)
 	if err != nil {
 		resp := Response{Content: fmt.Sprintf("error encoding: %v", err), Done: true}
 		data, _ := json.Marshal(resp)

x/imagegen/llm.go

@@ -1,6 +1,6 @@
 //go:build mlx
 
-package mlxrunner
+package imagegen
 
 import (
 	"encoding/json"
@@ -12,8 +12,8 @@ import (
 	"sync"
 	"time"
 
-	"github.com/ollama/ollama/x/imagegen"
 	"github.com/ollama/ollama/x/imagegen/cache"
+	"github.com/ollama/ollama/x/imagegen/manifest"
 	"github.com/ollama/ollama/x/imagegen/mlx"
 	"github.com/ollama/ollama/x/imagegen/models/glm4_moe_lite"
 	"github.com/ollama/ollama/x/imagegen/tokenizer"
@@ -197,13 +197,13 @@ func sample(logits *mlx.Array, temp float32, vocabSize int32) *mlx.Array {
 // loadLLMModel loads a safetensors LLM model and its tokenizer from manifest storage.
 func (s *server) loadLLMModel() error {
 	// Load the manifest to get model information
-	manifest, err := imagegen.LoadManifest(s.modelName)
+	modelManifest, err := manifest.LoadManifest(s.modelName)
 	if err != nil {
 		return fmt.Errorf("failed to load manifest: %w", err)
 	}
 
 	// Detect model architecture from config.json
-	configData, err := manifest.ReadConfig("config.json")
+	configData, err := modelManifest.ReadConfig("config.json")
 	if err != nil {
 		return fmt.Errorf("failed to read config.json: %w", err)
 	}
@@ -232,7 +232,7 @@ func (s *server) loadLLMModel() error {
 
 	switch {
 	case strings.Contains(archLower, "glm4moelite"):
-		m, err := glm4_moe_lite.LoadFromManifest(manifest)
+		m, err := glm4_moe_lite.LoadFromManifest(modelManifest)
 		if err != nil {
 			return fmt.Errorf("failed to load glm4-moe-lite model: %w", err)
 		}

x/imagegen/manifest/manifest.go

@@ -1,4 +1,4 @@
-package imagegen
+package manifest
 
 import (
 	"encoding/json"

x/imagegen/manifest/manifest_test.go

@@ -1,4 +1,4 @@
-package imagegen
+package manifest
 
 import (
 	"path/filepath"

x/imagegen/manifest/weights.go

@@ -1,6 +1,6 @@
 //go:build mlx
 
-package imagegen
+package manifest
 
 import (
 	"fmt"
@@ -15,9 +15,9 @@ import (
 type ManifestWeights struct {
 	manifest    *ModelManifest
 	component   string
-	tensors     map[string]ManifestLayer      // name -> layer
-	cache       map[string]*mlx.Array         // name -> loaded array
-	nativeCache []*mlx.SafetensorsFile        // keep native handles alive
+	tensors     map[string]ManifestLayer // name -> layer
+	cache       map[string]*mlx.Array    // name -> loaded array
+	nativeCache []*mlx.SafetensorsFile   // keep native handles alive
 }
 
 // LoadWeightsFromManifest creates a weight loader from manifest storage.

x/imagegen/memory.go

@@ -14,6 +14,8 @@ import (
 	"encoding/json"
 	"fmt"
 	"runtime"
+
+	"github.com/ollama/ollama/x/imagegen/manifest"
 )
 
 // SupportedBackends lists the backends that support image generation.
@@ -41,8 +43,8 @@ func CheckPlatformSupport() error {
 // ResolveModelName checks if a model name is a known image generation model.
 // Returns the normalized model name if found, empty string otherwise.
 func ResolveModelName(modelName string) string {
-	manifest, err := LoadManifest(modelName)
-	if err == nil && manifest.HasTensorLayers() {
+	modelManifest, err := manifest.LoadManifest(modelName)
+	if err == nil && modelManifest.HasTensorLayers() {
 		return modelName
 	}
 	return ""
@@ -52,12 +54,12 @@ func ResolveModelName(modelName string) string {
 // Checks both "architecture" (Ollama format) and "_class_name" (diffusers format).
 // Returns empty string if detection fails.
 func DetectModelType(modelName string) string {
-	manifest, err := LoadManifest(modelName)
+	modelManifest, err := manifest.LoadManifest(modelName)
 	if err != nil {
 		return ""
 	}
 
-	data, err := manifest.ReadConfig("model_index.json")
+	data, err := modelManifest.ReadConfig("model_index.json")
 	if err != nil {
 		return ""
 	}

x/imagegen/models/flux2/flux2.go

@@ -12,7 +12,7 @@ import (
 	"math"
 	"time"
 
-	"github.com/ollama/ollama/x/imagegen"
+	"github.com/ollama/ollama/x/imagegen/manifest"
 	"github.com/ollama/ollama/x/imagegen/mlx"
 	"github.com/ollama/ollama/x/imagegen/models/qwen3"
 	"github.com/ollama/ollama/x/imagegen/tokenizer"
@@ -61,7 +61,7 @@ func (m *Model) Load(modelName string) error {
 	m.ModelName = modelName
 
 	// Load manifest
-	manifest, err := imagegen.LoadManifest(modelName)
+	manifest, err := manifest.LoadManifest(modelName)
 	if err != nil {
 		return fmt.Errorf("load manifest: %w", err)
 	}

x/imagegen/models/flux2/transformer.go

@@ -6,7 +6,7 @@ import (
 	"fmt"
 	"math"
 
-	"github.com/ollama/ollama/x/imagegen"
+	"github.com/ollama/ollama/x/imagegen/manifest"
 	"github.com/ollama/ollama/x/imagegen/mlx"
 	"github.com/ollama/ollama/x/imagegen/nn"
 	"github.com/ollama/ollama/x/imagegen/safetensors"
@@ -14,19 +14,19 @@ import (
 
 // TransformerConfig holds Flux2 transformer configuration
 type TransformerConfig struct {
-	AttentionHeadDim         int32   `json:"attention_head_dim"`          // 128
-	AxesDimsRoPE             []int32 `json:"axes_dims_rope"`              // [32, 32, 32, 32]
-	Eps                      float32 `json:"eps"`                         // 1e-6
-	GuidanceEmbeds           bool    `json:"guidance_embeds"`             // false for Klein
-	InChannels               int32   `json:"in_channels"`                 // 128
-	JointAttentionDim        int32   `json:"joint_attention_dim"`         // 7680
-	MLPRatio                 float32 `json:"mlp_ratio"`                   // 3.0
-	NumAttentionHeads        int32   `json:"num_attention_heads"`         // 24
-	NumLayers                int32   `json:"num_layers"`                  // 5
-	NumSingleLayers          int32   `json:"num_single_layers"`           // 20
-	PatchSize                int32   `json:"patch_size"`                  // 1
-	RopeTheta                int32   `json:"rope_theta"`                  // 2000
-	TimestepGuidanceChannels int32   `json:"timestep_guidance_channels"`  // 256
+	AttentionHeadDim         int32   `json:"attention_head_dim"`         // 128
+	AxesDimsRoPE             []int32 `json:"axes_dims_rope"`             // [32, 32, 32, 32]
+	Eps                      float32 `json:"eps"`                        // 1e-6
+	GuidanceEmbeds           bool    `json:"guidance_embeds"`            // false for Klein
+	InChannels               int32   `json:"in_channels"`                // 128
+	JointAttentionDim        int32   `json:"joint_attention_dim"`        // 7680
+	MLPRatio                 float32 `json:"mlp_ratio"`                  // 3.0
+	NumAttentionHeads        int32   `json:"num_attention_heads"`        // 24
+	NumLayers                int32   `json:"num_layers"`                 // 5
+	NumSingleLayers          int32   `json:"num_single_layers"`          // 20
+	PatchSize                int32   `json:"patch_size"`                 // 1
+	RopeTheta                int32   `json:"rope_theta"`                 // 2000
+	TimestepGuidanceChannels int32   `json:"timestep_guidance_channels"` // 256
 }
 
 // Computed dimensions
@@ -392,12 +392,12 @@ type Flux2Transformer2DModel struct {
 }
 
 // Load loads the Flux2 transformer from ollama blob storage.
-func (m *Flux2Transformer2DModel) Load(manifest *imagegen.ModelManifest) error {
+func (m *Flux2Transformer2DModel) Load(modelManifest *manifest.ModelManifest) error {
 	fmt.Print("  Loading transformer... ")
 
 	// Load config from blob
 	var cfg TransformerConfig
-	if err := manifest.ReadConfigJSON("transformer/config.json", &cfg); err != nil {
+	if err := modelManifest.ReadConfigJSON("transformer/config.json", &cfg); err != nil {
 		return fmt.Errorf("config: %w", err)
 	}
 	m.TransformerConfig = &cfg
@@ -412,7 +412,7 @@ func (m *Flux2Transformer2DModel) Load(manifest *imagegen.ModelManifest) error {
 	}
 
 	// Load weights from tensor blobs
-	weights, err := imagegen.LoadWeightsFromManifest(manifest, "transformer")
+	weights, err := manifest.LoadWeightsFromManifest(modelManifest, "transformer")
 	if err != nil {
 		return fmt.Errorf("weights: %w", err)
 	}

x/imagegen/models/flux2/vae.go

@@ -6,7 +6,7 @@ import (
 	"fmt"
 	"math"
 
-	"github.com/ollama/ollama/x/imagegen"
+	"github.com/ollama/ollama/x/imagegen/manifest"
 	"github.com/ollama/ollama/x/imagegen/mlx"
 	"github.com/ollama/ollama/x/imagegen/nn"
 	"github.com/ollama/ollama/x/imagegen/safetensors"
@@ -15,21 +15,21 @@ import (
 
 // VAEConfig holds AutoencoderKLFlux2 configuration
 type VAEConfig struct {
-	ActFn             string  `json:"act_fn"`              // "silu"
-	BatchNormEps      float32 `json:"batch_norm_eps"`      // 0.0001
-	BatchNormMomentum float32 `json:"batch_norm_momentum"` // 0.1
-	BlockOutChannels  []int32 `json:"block_out_channels"`  // [128, 256, 512, 512]
-	ForceUpcast       bool    `json:"force_upcast"`        // true
-	InChannels        int32   `json:"in_channels"`         // 3
-	LatentChannels    int32   `json:"latent_channels"`     // 32
-	LayersPerBlock    int32   `json:"layers_per_block"`    // 2
+	ActFn             string  `json:"act_fn"`                  // "silu"
+	BatchNormEps      float32 `json:"batch_norm_eps"`          // 0.0001
+	BatchNormMomentum float32 `json:"batch_norm_momentum"`     // 0.1
+	BlockOutChannels  []int32 `json:"block_out_channels"`      // [128, 256, 512, 512]
+	ForceUpcast       bool    `json:"force_upcast"`            // true
+	InChannels        int32   `json:"in_channels"`             // 3
+	LatentChannels    int32   `json:"latent_channels"`         // 32
+	LayersPerBlock    int32   `json:"layers_per_block"`        // 2
 	MidBlockAddAttn   bool    `json:"mid_block_add_attention"` // true
-	NormNumGroups     int32   `json:"norm_num_groups"`     // 32
-	OutChannels       int32   `json:"out_channels"`        // 3
-	PatchSize         []int32 `json:"patch_size"`          // [2, 2]
-	SampleSize        int32   `json:"sample_size"`         // 1024
-	UsePostQuantConv  bool    `json:"use_post_quant_conv"` // true
-	UseQuantConv      bool    `json:"use_quant_conv"`      // true
+	NormNumGroups     int32   `json:"norm_num_groups"`         // 32
+	OutChannels       int32   `json:"out_channels"`            // 3
+	PatchSize         []int32 `json:"patch_size"`              // [2, 2]
+	SampleSize        int32   `json:"sample_size"`             // 1024
+	UsePostQuantConv  bool    `json:"use_post_quant_conv"`     // true
+	UseQuantConv      bool    `json:"use_quant_conv"`          // true
 }
 
 // BatchNorm2D implements 2D batch normalization with running statistics
@@ -356,18 +356,18 @@ func (db *DownEncoderBlock2D) Forward(x *mlx.Array) *mlx.Array {
 }
 
 // Load loads the Flux2 VAE from ollama blob storage.
-func (m *AutoencoderKLFlux2) Load(manifest *imagegen.ModelManifest) error {
+func (m *AutoencoderKLFlux2) Load(modelManifest *manifest.ModelManifest) error {
 	fmt.Print("  Loading VAE... ")
 
 	// Load config from blob
 	var cfg VAEConfig
-	if err := manifest.ReadConfigJSON("vae/config.json", &cfg); err != nil {
+	if err := modelManifest.ReadConfigJSON("vae/config.json", &cfg); err != nil {
 		return fmt.Errorf("config: %w", err)
 	}
 	m.Config = &cfg
 
 	// Load weights from tensor blobs
-	weights, err := imagegen.LoadWeightsFromManifest(manifest, "vae")
+	weights, err := manifest.LoadWeightsFromManifest(modelManifest, "vae")
 	if err != nil {
 		return fmt.Errorf("weights: %w", err)
 	}

x/imagegen/models/glm4_moe_lite/glm4_moe_lite.go

@@ -9,8 +9,8 @@ import (
 	"fmt"
 	"math"
 
-	"github.com/ollama/ollama/x/imagegen"
 	"github.com/ollama/ollama/x/imagegen/cache"
+	"github.com/ollama/ollama/x/imagegen/manifest"
 	"github.com/ollama/ollama/x/imagegen/mlx"
 	"github.com/ollama/ollama/x/imagegen/nn"
 	"github.com/ollama/ollama/x/imagegen/safetensors"
@@ -38,11 +38,11 @@ type Config struct {
 	AttentionBias         bool    `json:"attention_bias"`
 
 	// MLA (Multi-head Latent Attention) parameters
-	QLoraRank      int32 `json:"q_lora_rank"`
-	KVLoraRank     int32 `json:"kv_lora_rank"`
-	QKRopeHeadDim  int32 `json:"qk_rope_head_dim"`
-	QKNopeHeadDim  int32 `json:"qk_nope_head_dim"`
-	VHeadDim       int32 `json:"v_head_dim"`
+	QLoraRank     int32 `json:"q_lora_rank"`
+	KVLoraRank    int32 `json:"kv_lora_rank"`
+	QKRopeHeadDim int32 `json:"qk_rope_head_dim"`
+	QKNopeHeadDim int32 `json:"qk_nope_head_dim"`
+	VHeadDim      int32 `json:"v_head_dim"`
 
 	// MoE parameters
 	NRoutedExperts      int32   `json:"n_routed_experts"`
@@ -82,7 +82,7 @@ type MLAAttention struct {
 	// Absorbed MLA projections (derived from kv_b_proj)
 	// EmbedQ: projects q_nope to latent space [num_heads, kv_lora_rank, qk_nope_head_dim]
 	// UnembedOut: projects attention output from latent space [num_heads, v_head_dim, kv_lora_rank]
-	EmbedQ    *nn.MultiLinear `weight:"-"`
+	EmbedQ     *nn.MultiLinear `weight:"-"`
 	UnembedOut *nn.MultiLinear `weight:"-"`
 
 	// Output projection
@@ -194,8 +194,8 @@ func (m *DenseMLP) Forward(x *mlx.Array) *mlx.Array {
 
 // MoEGate implements the expert gating mechanism
 type MoEGate struct {
-	Gate                   nn.LinearLayer `weight:"mlp.gate"`
-	EScoreCorrectionBias   *mlx.Array     `weight:"mlp.gate.e_score_correction_bias,optional"`
+	Gate                 nn.LinearLayer `weight:"mlp.gate"`
+	EScoreCorrectionBias *mlx.Array     `weight:"mlp.gate.e_score_correction_bias,optional"`
 }
 
 // Forward computes expert selection indices and scores
@@ -617,9 +617,9 @@ func sanitizeExpertWeights(weights safetensors.WeightSource, prefix string, numE
 }
 
 // LoadFromManifest loads a GLM4-MoE-Lite model from a manifest (Ollama blob storage).
-func LoadFromManifest(manifest *imagegen.ModelManifest) (*Model, error) {
+func LoadFromManifest(modelManifest *manifest.ModelManifest) (*Model, error) {
 	// Read config from manifest
-	configData, err := manifest.ReadConfig("config.json")
+	configData, err := modelManifest.ReadConfig("config.json")
 	if err != nil {
 		return nil, fmt.Errorf("load config: %w", err)
 	}
@@ -634,7 +634,7 @@ func LoadFromManifest(manifest *imagegen.ModelManifest) (*Model, error) {
 	cfg.Scale = computeScale(&cfg)
 
 	// Load weights from manifest blobs
-	weights, err := imagegen.LoadWeightsFromManifest(manifest, "")
+	weights, err := manifest.LoadWeightsFromManifest(modelManifest, "")
 	if err != nil {
 		return nil, fmt.Errorf("load weights: %w", err)
 	}
@@ -653,7 +653,7 @@ func LoadFromManifest(manifest *imagegen.ModelManifest) (*Model, error) {
 	}
 
 	// Load tokenizer from manifest with config files for EOS token detection
-	tokData, err := manifest.ReadConfig("tokenizer.json")
+	tokData, err := modelManifest.ReadConfig("tokenizer.json")
 	if err != nil {
 		return nil, fmt.Errorf("load tokenizer config: %w", err)
 	}
@@ -664,12 +664,12 @@ func LoadFromManifest(manifest *imagegen.ModelManifest) (*Model, error) {
 	}
 
 	// Try to load generation_config.json if available (preferred source for EOS)
-	if genConfigData, err := manifest.ReadConfig("generation_config.json"); err == nil {
+	if genConfigData, err := modelManifest.ReadConfig("generation_config.json"); err == nil {
 		tokConfig.GenerationConfigJSON = genConfigData
 	}
 
 	// Try to load tokenizer_config.json if available
-	if tokConfigData, err := manifest.ReadConfig("tokenizer_config.json"); err == nil {
+	if tokConfigData, err := modelManifest.ReadConfig("tokenizer_config.json"); err == nil {
 		tokConfig.TokenizerConfigJSON = tokConfigData
 	}
 

x/imagegen/models/qwen3/text_encoder.go

@@ -7,7 +7,7 @@ import (
 	"fmt"
 	"math"
 
-	"github.com/ollama/ollama/x/imagegen"
+	"github.com/ollama/ollama/x/imagegen/manifest"
 	"github.com/ollama/ollama/x/imagegen/mlx"
 	"github.com/ollama/ollama/x/imagegen/nn"
 	"github.com/ollama/ollama/x/imagegen/safetensors"
@@ -181,19 +181,19 @@ type TextEncoder struct {
 }
 
 // Load loads the Qwen3 text encoder from ollama blob storage.
-func (m *TextEncoder) Load(manifest *imagegen.ModelManifest, configPath string) error {
+func (m *TextEncoder) Load(modelManifest *manifest.ModelManifest, configPath string) error {
 	fmt.Print("  Loading text encoder... ")
 
 	// Load config from blob
 	var cfg Config
-	if err := manifest.ReadConfigJSON(configPath, &cfg); err != nil {
+	if err := modelManifest.ReadConfigJSON(configPath, &cfg); err != nil {
 		return fmt.Errorf("config: %w", err)
 	}
 	m.Config = &cfg
 	m.Layers = make([]*Block, cfg.NumHiddenLayers)
 
 	// Load weights from tensor blobs
-	weights, err := imagegen.LoadWeightsFromManifest(manifest, "text_encoder")
+	weights, err := manifest.LoadWeightsFromManifest(modelManifest, "text_encoder")
 	if err != nil {
 		return fmt.Errorf("weights: %w", err)
 	}

x/imagegen/models/zimage/transformer.go

@@ -7,8 +7,8 @@ import (
 	"fmt"
 	"math"
 
-	"github.com/ollama/ollama/x/imagegen"
 	"github.com/ollama/ollama/x/imagegen/cache"
+	"github.com/ollama/ollama/x/imagegen/manifest"
 	"github.com/ollama/ollama/x/imagegen/mlx"
 	"github.com/ollama/ollama/x/imagegen/nn"
 	"github.com/ollama/ollama/x/imagegen/safetensors"
@@ -38,7 +38,7 @@ type TransformerConfig struct {
 type TimestepEmbedder struct {
 	Linear1       nn.LinearLayer `weight:"mlp.0"`
 	Linear2       nn.LinearLayer `weight:"mlp.2"`
-	FreqEmbedSize int32      // 256 (computed)
+	FreqEmbedSize int32          // 256 (computed)
 }
 
 // Forward computes timestep embeddings -> [B, 256]
@@ -85,9 +85,9 @@ func (xe *XEmbedder) Forward(x *mlx.Array) *mlx.Array {
 
 // CapEmbedder projects caption features to model dimension
 type CapEmbedder struct {
-	Norm     *nn.RMSNorm `weight:"0"`
-	Linear   nn.LinearLayer  `weight:"1"`
-	PadToken *mlx.Array  // loaded separately at root level
+	Norm     *nn.RMSNorm    `weight:"0"`
+	Linear   nn.LinearLayer `weight:"1"`
+	PadToken *mlx.Array     // loaded separately at root level
 }
 
 // Forward projects caption embeddings: [B, L, cap_feat_dim] -> [B, L, dim]
@@ -103,10 +103,9 @@ type FeedForward struct {
 	W1     nn.LinearLayer `weight:"w1"` // gate projection
 	W2     nn.LinearLayer `weight:"w2"` // down projection
 	W3     nn.LinearLayer `weight:"w3"` // up projection
-	OutDim int32      // computed from W2
+	OutDim int32          // computed from W2
 }
 
-
 // Forward applies SwiGLU: silu(W1(x)) * W3(x), then W2
 func (ff *FeedForward) Forward(x *mlx.Array) *mlx.Array {
 	shape := x.Shape()
@@ -132,11 +131,11 @@ type Attention struct {
 	ToK   nn.LinearLayer `weight:"to_k"`
 	ToV   nn.LinearLayer `weight:"to_v"`
 	ToOut nn.LinearLayer `weight:"to_out.0"`
-	NormQ *mlx.Array `weight:"norm_q.weight"` // [head_dim] for per-head RMSNorm
-	NormK *mlx.Array `weight:"norm_k.weight"`
+	NormQ *mlx.Array     `weight:"norm_q.weight"` // [head_dim] for per-head RMSNorm
+	NormK *mlx.Array     `weight:"norm_k.weight"`
 	// Fused QKV (computed at init time for efficiency, not loaded from weights)
 	ToQKV nn.LinearLayer `weight:"-"` // Fused Q+K+V projection (created by FuseQKV)
-	Fused bool       `weight:"-"` // Whether to use fused QKV path
+	Fused bool           `weight:"-"` // Whether to use fused QKV path
 	// Computed fields (not loaded from weights)
 	NHeads  int32   `weight:"-"`
 	HeadDim int32   `weight:"-"`
@@ -288,13 +287,13 @@ func applyRoPE3D(x *mlx.Array, cos, sin *mlx.Array) *mlx.Array {
 
 // TransformerBlock is a single transformer block with optional AdaLN modulation
 type TransformerBlock struct {
-	Attention      *Attention   `weight:"attention"`
-	FeedForward    *FeedForward `weight:"feed_forward"`
-	AttentionNorm1 *nn.RMSNorm  `weight:"attention_norm1"`
-	AttentionNorm2 *nn.RMSNorm  `weight:"attention_norm2"`
-	FFNNorm1       *nn.RMSNorm  `weight:"ffn_norm1"`
-	FFNNorm2       *nn.RMSNorm  `weight:"ffn_norm2"`
-	AdaLN          nn.LinearLayer   `weight:"adaLN_modulation.0,optional"` // only if modulation
+	Attention      *Attention     `weight:"attention"`
+	FeedForward    *FeedForward   `weight:"feed_forward"`
+	AttentionNorm1 *nn.RMSNorm    `weight:"attention_norm1"`
+	AttentionNorm2 *nn.RMSNorm    `weight:"attention_norm2"`
+	FFNNorm1       *nn.RMSNorm    `weight:"ffn_norm1"`
+	FFNNorm2       *nn.RMSNorm    `weight:"ffn_norm2"`
+	AdaLN          nn.LinearLayer `weight:"adaLN_modulation.0,optional"` // only if modulation
 	// Computed fields
 	HasModulation bool
 	Dim           int32
@@ -350,7 +349,7 @@ func (tb *TransformerBlock) Forward(x *mlx.Array, adaln *mlx.Array, cos, sin *ml
 type FinalLayer struct {
 	AdaLN  nn.LinearLayer `weight:"adaLN_modulation.1"` // [256] -> [dim]
 	Output nn.LinearLayer `weight:"linear"`             // [dim] -> [out_channels]
-	OutDim int32      // computed from Output
+	OutDim int32          // computed from Output
 }
 
 // Forward computes final output
@@ -401,12 +400,12 @@ type Transformer struct {
 }
 
 // Load loads the Z-Image transformer from ollama blob storage.
-func (m *Transformer) Load(manifest *imagegen.ModelManifest) error {
+func (m *Transformer) Load(modelManifest *manifest.ModelManifest) error {
 	fmt.Print("  Loading transformer... ")
 
 	// Load config from blob
 	var cfg TransformerConfig
-	if err := manifest.ReadConfigJSON("transformer/config.json", &cfg); err != nil {
+	if err := modelManifest.ReadConfigJSON("transformer/config.json", &cfg); err != nil {
 		return fmt.Errorf("config: %w", err)
 	}
 	if len(cfg.AllPatchSize) > 0 {
@@ -417,7 +416,7 @@ func (m *Transformer) Load(manifest *imagegen.ModelManifest) error {
 	m.ContextRefiners = make([]*TransformerBlock, cfg.NRefinerLayers)
 	m.Layers = make([]*TransformerBlock, cfg.NLayers)
 
-	weights, err := imagegen.LoadWeightsFromManifest(manifest, "transformer")
+	weights, err := manifest.LoadWeightsFromManifest(modelManifest, "transformer")
 	if err != nil {
 		return fmt.Errorf("weights: %w", err)
 	}

x/imagegen/models/zimage/vae.go

@@ -6,7 +6,7 @@ import (
 	"fmt"
 	"math"
 
-	"github.com/ollama/ollama/x/imagegen"
+	"github.com/ollama/ollama/x/imagegen/manifest"
 	"github.com/ollama/ollama/x/imagegen/mlx"
 	"github.com/ollama/ollama/x/imagegen/safetensors"
 	"github.com/ollama/ollama/x/imagegen/vae"
@@ -562,7 +562,7 @@ func (ub *UpDecoderBlock2D) Forward(x *mlx.Array) *mlx.Array {
 	if ub.Upsample != nil {
 		// Stage 1: Upsample2x (nearest neighbor)
 		{
-					prev := x
+			prev := x
 			x = Upsample2x(x)
 			prev.Free()
 			mlx.Eval(x)
@@ -570,7 +570,7 @@ func (ub *UpDecoderBlock2D) Forward(x *mlx.Array) *mlx.Array {
 
 		// Stage 2: Upsample conv
 		{
-					prev := x
+			prev := x
 			x = ub.Upsample.Forward(x)
 			prev.Free()
 			mlx.Eval(x)
@@ -643,16 +643,16 @@ type VAEDecoder struct {
 }
 
 // Load loads the VAE decoder from ollama blob storage.
-func (m *VAEDecoder) Load(manifest *imagegen.ModelManifest) error {
+func (m *VAEDecoder) Load(modelManifest *manifest.ModelManifest) error {
 	// Load config from blob
 	var cfg VAEConfig
-	if err := manifest.ReadConfigJSON("vae/config.json", &cfg); err != nil {
+	if err := modelManifest.ReadConfigJSON("vae/config.json", &cfg); err != nil {
 		return fmt.Errorf("config: %w", err)
 	}
 	m.Config = &cfg
 
 	// Load weights from tensor blobs
-	weights, err := imagegen.LoadWeightsFromManifest(manifest, "vae")
+	weights, err := manifest.LoadWeightsFromManifest(modelManifest, "vae")
 	if err != nil {
 		return fmt.Errorf("weights: %w", err)
 	}

x/imagegen/models/zimage/zimage.go

@@ -8,8 +8,8 @@ import (
 	"fmt"
 	"time"
 
-	"github.com/ollama/ollama/x/imagegen"
 	"github.com/ollama/ollama/x/imagegen/cache"
+	"github.com/ollama/ollama/x/imagegen/manifest"
 	"github.com/ollama/ollama/x/imagegen/mlx"
 	"github.com/ollama/ollama/x/imagegen/tokenizer"
 	"github.com/ollama/ollama/x/imagegen/vae"
@@ -18,14 +18,14 @@ import (
 // GenerateConfig holds all options for image generation.
 type GenerateConfig struct {
 	Prompt         string
-	NegativePrompt string                // Empty = no CFG
-	CFGScale       float32               // Only used if NegativePrompt is set (default: 4.0)
-	Width          int32                 // Image width (default: 1024)
-	Height         int32                 // Image height (default: 1024)
-	Steps          int                   // Denoising steps (default: 9 for turbo)
-	Seed           int64                 // Random seed
+	NegativePrompt string                     // Empty = no CFG
+	CFGScale       float32                    // Only used if NegativePrompt is set (default: 4.0)
+	Width          int32                      // Image width (default: 1024)
+	Height         int32                      // Image height (default: 1024)
+	Steps          int                        // Denoising steps (default: 9 for turbo)
+	Seed           int64                      // Random seed
 	Progress       func(step, totalSteps int) // Optional progress callback
-	CapturePath    string                // GPU capture path (debug)
+	CapturePath    string                     // GPU capture path (debug)
 
 	// TeaCache options (timestep embedding aware caching)
 	TeaCache          bool    // TeaCache is always enabled for faster inference
@@ -58,7 +58,7 @@ func (m *Model) Load(modelName string) error {
 	m.ModelName = modelName
 
 	// Load manifest
-	manifest, err := imagegen.LoadManifest(modelName)
+	manifest, err := manifest.LoadManifest(modelName)
 	if err != nil {
 		return fmt.Errorf("load manifest: %w", err)
 	}

x/imagegen/runner.go

@@ -0,0 +1,203 @@
+//go:build mlx
+
+// Package imagegen provides a unified MLX runner for both LLM and image generation models.
+package imagegen
+
+import (
+	"context"
+	"encoding/json"
+	"flag"
+	"fmt"
+	"log/slog"
+	"net/http"
+	"os"
+	"os/signal"
+	"syscall"
+	"time"
+
+	"github.com/ollama/ollama/envconfig"
+	"github.com/ollama/ollama/x/imagegen/mlx"
+)
+
+// Execute is the entry point for the unified MLX runner subprocess.
+func Execute(args []string) error {
+	// Set up logging with appropriate level from environment
+	slog.SetDefault(slog.New(slog.NewTextHandler(os.Stderr, &slog.HandlerOptions{Level: envconfig.LogLevel()})))
+
+	fs := flag.NewFlagSet("mlx-runner", flag.ExitOnError)
+	modelName := fs.String("model", "", "path to model")
+	port := fs.Int("port", 0, "port to listen on")
+
+	if err := fs.Parse(args); err != nil {
+		return err
+	}
+
+	if *modelName == "" {
+		return fmt.Errorf("--model is required")
+	}
+	if *port == 0 {
+		return fmt.Errorf("--port is required")
+	}
+
+	// Initialize MLX
+	if err := mlx.InitMLX(); err != nil {
+		slog.Error("unable to initialize MLX", "error", err)
+		return err
+	}
+	slog.Info("MLX library initialized")
+
+	// Detect model type from capabilities
+	mode := detectModelMode(*modelName)
+	slog.Info("starting mlx runner", "model", *modelName, "port", *port, "mode", mode)
+
+	// Create and start server
+	server, err := newServer(*modelName, *port, mode)
+	if err != nil {
+		return fmt.Errorf("failed to create server: %w", err)
+	}
+
+	// Set up HTTP handlers
+	mux := http.NewServeMux()
+	mux.HandleFunc("/health", server.healthHandler)
+	mux.HandleFunc("/completion", server.completionHandler)
+
+	// LLM-specific endpoints
+	if mode == ModeLLM {
+		mux.HandleFunc("/tokenize", server.tokenizeHandler)
+		mux.HandleFunc("/embedding", server.embeddingHandler)
+	}
+
+	httpServer := &http.Server{
+		Addr:    fmt.Sprintf("127.0.0.1:%d", *port),
+		Handler: mux,
+	}
+
+	// Handle shutdown
+	done := make(chan struct{})
+	go func() {
+		sigCh := make(chan os.Signal, 1)
+		signal.Notify(sigCh, syscall.SIGINT, syscall.SIGTERM)
+		<-sigCh
+		slog.Info("shutting down mlx runner")
+		ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
+		defer cancel()
+		httpServer.Shutdown(ctx)
+		close(done)
+	}()
+
+	slog.Info("mlx runner listening", "addr", httpServer.Addr)
+	if err := httpServer.ListenAndServe(); err != http.ErrServerClosed {
+		return err
+	}
+
+	<-done
+	return nil
+}
+
+// detectModelMode determines whether a model is an LLM or image generation model.
+func detectModelMode(modelName string) ModelMode {
+	// Check for image generation model by looking at model_index.json
+	modelType := DetectModelType(modelName)
+	if modelType != "" {
+		// Known image generation model types
+		switch modelType {
+		case "ZImagePipeline", "FluxPipeline", "Flux2KleinPipeline":
+			return ModeImageGen
+		}
+	}
+
+	// Default to LLM mode for safetensors models without known image gen types
+	return ModeLLM
+}
+
+// server holds the model and handles HTTP requests.
+type server struct {
+	mode      ModelMode
+	modelName string
+	port      int
+
+	// Image generation model (when mode == ModeImageGen)
+	imageModel ImageModel
+
+	// LLM model (when mode == ModeLLM)
+	llmModel *llmState
+}
+
+// newServer creates a new server instance and loads the appropriate model.
+func newServer(modelName string, port int, mode ModelMode) (*server, error) {
+	s := &server{
+		mode:      mode,
+		modelName: modelName,
+		port:      port,
+	}
+
+	switch mode {
+	case ModeImageGen:
+		if err := s.loadImageModel(); err != nil {
+			return nil, fmt.Errorf("failed to load image model: %w", err)
+		}
+	case ModeLLM:
+		if err := s.loadLLMModel(); err != nil {
+			return nil, fmt.Errorf("failed to load LLM model: %w", err)
+		}
+	}
+
+	return s, nil
+}
+
+func (s *server) healthHandler(w http.ResponseWriter, r *http.Request) {
+	resp := HealthResponse{Status: "ok"}
+	w.Header().Set("Content-Type", "application/json")
+	json.NewEncoder(w).Encode(resp)
+}
+
+func (s *server) completionHandler(w http.ResponseWriter, r *http.Request) {
+	if r.Method != http.MethodPost {
+		http.Error(w, "method not allowed", http.StatusMethodNotAllowed)
+		return
+	}
+
+	var req Request
+	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
+		http.Error(w, err.Error(), http.StatusBadRequest)
+		return
+	}
+
+	switch s.mode {
+	case ModeImageGen:
+		s.handleImageCompletion(w, r, req)
+	case ModeLLM:
+		s.handleLLMCompletion(w, r, req)
+	}
+}
+
+func (s *server) tokenizeHandler(w http.ResponseWriter, r *http.Request) {
+	if s.llmModel == nil {
+		http.Error(w, "LLM model not loaded", http.StatusInternalServerError)
+		return
+	}
+
+	var req struct {
+		Content string `json:"content"`
+	}
+	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
+		http.Error(w, err.Error(), http.StatusBadRequest)
+		return
+	}
+
+	tok := s.llmModel.model.Tokenizer()
+	tokens := tok.Encode(req.Content, false)
+
+	// Convert int32 to int for JSON response
+	intTokens := make([]int, len(tokens))
+	for i, t := range tokens {
+		intTokens[i] = int(t)
+	}
+
+	w.Header().Set("Content-Type", "application/json")
+	json.NewEncoder(w).Encode(map[string][]int{"tokens": intTokens})
+}
+
+func (s *server) embeddingHandler(w http.ResponseWriter, r *http.Request) {
+	http.Error(w, "embeddings not yet implemented for MLX models", http.StatusNotImplemented)
+}

x/imagegen/runner_stub.go

@@ -1,6 +1,6 @@
 //go:build !mlx
 
-package mlxrunner
+package imagegen
 
 import "errors"
 

x/imagegen/server.go

@@ -0,0 +1,471 @@
+package imagegen
+
+import (
+	"bufio"
+	"bytes"
+	"context"
+	"encoding/json"
+	"errors"
+	"fmt"
+	"io"
+	"log/slog"
+	"math/rand"
+	"net"
+	"net/http"
+	"os"
+	"os/exec"
+	"path/filepath"
+	"runtime"
+	"strconv"
+	"strings"
+	"sync"
+	"time"
+
+	"github.com/ollama/ollama/llm"
+	"github.com/ollama/ollama/ml"
+	"github.com/ollama/ollama/x/imagegen/manifest"
+)
+
+// Server wraps an MLX runner subprocess to implement llm.LlamaServer.
+//
+// This implementation is compatible with Ollama's scheduler and can be loaded/unloaded
+// like any other model. It supports both LLM (safetensors) and image generation models.
+type Server struct {
+	mu          sync.Mutex
+	cmd         *exec.Cmd
+	port        int
+	modelName   string
+	mode        ModelMode
+	vramSize    uint64
+	done        chan error
+	client      *http.Client
+	lastErr     string // Last stderr line for error reporting
+	lastErrLock sync.Mutex
+}
+
+// NewServer spawns a new MLX runner subprocess and waits until it's ready.
+func NewServer(modelName string, mode ModelMode) (*Server, error) {
+	// Validate platform support before attempting to start
+	if err := CheckPlatformSupport(); err != nil {
+		return nil, err
+	}
+
+	// Find a free port
+	port := 0
+	if a, err := net.ResolveTCPAddr("tcp", "localhost:0"); err == nil {
+		if l, err := net.ListenTCP("tcp", a); err == nil {
+			port = l.Addr().(*net.TCPAddr).Port
+			l.Close()
+		}
+	}
+	if port == 0 {
+		port = rand.Intn(65535-49152) + 49152
+	}
+
+	// Get the current executable path (we use the same binary with runner subcommand)
+	exe, err := os.Executable()
+	if err != nil {
+		return nil, fmt.Errorf("unable to lookup executable path: %w", err)
+	}
+	if eval, err := filepath.EvalSymlinks(exe); err == nil {
+		exe = eval
+	}
+
+	// Spawn subprocess: ollama runner --imagegen-engine --model <path> --port <port>
+	cmd := exec.Command(exe, "runner", "--imagegen-engine", "--model", modelName, "--port", strconv.Itoa(port))
+	cmd.Env = os.Environ()
+
+	// On Linux, set LD_LIBRARY_PATH to include MLX library directories
+	if runtime.GOOS == "linux" {
+		// Build library paths: start with LibOllamaPath, then add any mlx_* subdirectories
+		libraryPaths := []string{ml.LibOllamaPath}
+		if mlxDirs, err := filepath.Glob(filepath.Join(ml.LibOllamaPath, "mlx_*")); err == nil {
+			libraryPaths = append(libraryPaths, mlxDirs...)
+		}
+
+		// Append existing LD_LIBRARY_PATH if set
+		if existingPath, ok := os.LookupEnv("LD_LIBRARY_PATH"); ok {
+			libraryPaths = append(libraryPaths, filepath.SplitList(existingPath)...)
+		}
+
+		pathEnvVal := strings.Join(libraryPaths, string(filepath.ListSeparator))
+
+		// Update or add LD_LIBRARY_PATH in cmd.Env
+		found := false
+		for i := range cmd.Env {
+			if strings.HasPrefix(cmd.Env[i], "LD_LIBRARY_PATH=") {
+				cmd.Env[i] = "LD_LIBRARY_PATH=" + pathEnvVal
+				found = true
+				break
+			}
+		}
+		if !found {
+			cmd.Env = append(cmd.Env, "LD_LIBRARY_PATH="+pathEnvVal)
+		}
+		slog.Debug("mlx subprocess library path", "LD_LIBRARY_PATH", pathEnvVal)
+	}
+
+	// Estimate VRAM based on tensor size from manifest
+	var vramSize uint64
+	if modelManifest, err := manifest.LoadManifest(modelName); err == nil {
+		vramSize = uint64(modelManifest.TotalTensorSize())
+	} else {
+		// Fallback: default to 8GB if manifest can't be loaded
+		vramSize = 8 * 1024 * 1024 * 1024
+	}
+
+	s := &Server{
+		cmd:       cmd,
+		port:      port,
+		modelName: modelName,
+		mode:      mode,
+		vramSize:  vramSize,
+		done:      make(chan error, 1),
+		client:    &http.Client{Timeout: 10 * time.Minute},
+	}
+
+	// Forward subprocess stdout/stderr to server logs
+	stdout, _ := cmd.StdoutPipe()
+	stderr, _ := cmd.StderrPipe()
+	go func() {
+		scanner := bufio.NewScanner(stdout)
+		for scanner.Scan() {
+			slog.Info("mlx-runner", "msg", scanner.Text())
+		}
+	}()
+	go func() {
+		scanner := bufio.NewScanner(stderr)
+		for scanner.Scan() {
+			line := scanner.Text()
+			slog.Warn("mlx-runner", "msg", line)
+			s.lastErrLock.Lock()
+			s.lastErr = line
+			s.lastErrLock.Unlock()
+		}
+	}()
+
+	slog.Info("starting mlx runner subprocess", "exe", exe, "model", modelName, "port", port, "mode", mode)
+	if err := cmd.Start(); err != nil {
+		return nil, fmt.Errorf("failed to start mlx runner: %w", err)
+	}
+
+	// Reap subprocess when it exits
+	go func() {
+		err := cmd.Wait()
+		s.done <- err
+	}()
+
+	// Wait for subprocess to be ready
+	if err := s.waitUntilRunning(); err != nil {
+		s.Close()
+		return nil, err
+	}
+
+	return s, nil
+}
+
+// ModelPath returns the path to the model.
+func (s *Server) ModelPath() string {
+	return s.modelName
+}
+
+// Load satisfies the LlamaServer interface. MLX models don't need GPU layer assignment.
+func (s *Server) Load(ctx context.Context, systemInfo ml.SystemInfo, gpus []ml.DeviceInfo, requireFull bool) ([]ml.DeviceID, error) {
+	return nil, nil
+}
+
+// Ping checks if the subprocess is healthy.
+func (s *Server) Ping(ctx context.Context) error {
+	url := fmt.Sprintf("http://127.0.0.1:%d/health", s.port)
+	req, err := http.NewRequestWithContext(ctx, "GET", url, nil)
+	if err != nil {
+		return err
+	}
+	resp, err := s.client.Do(req)
+	if err != nil {
+		return err
+	}
+	defer resp.Body.Close()
+	if resp.StatusCode != http.StatusOK {
+		return fmt.Errorf("health check failed: %d", resp.StatusCode)
+	}
+	return nil
+}
+
+// waitUntilRunning waits for the subprocess to be ready.
+func (s *Server) waitUntilRunning() error {
+	ctx := context.Background()
+	timeout := time.After(2 * time.Minute)
+	ticker := time.NewTicker(100 * time.Millisecond)
+	defer ticker.Stop()
+
+	for {
+		select {
+		case err := <-s.done:
+			// Include recent stderr lines for better error context
+			errMsg := s.getLastErr()
+			if errMsg != "" {
+				return fmt.Errorf("mlx runner failed: %s (exit: %v)", errMsg, err)
+			}
+			return fmt.Errorf("mlx runner exited unexpectedly: %w", err)
+		case <-timeout:
+			errMsg := s.getLastErr()
+			if errMsg != "" {
+				return fmt.Errorf("timeout waiting for mlx runner: %s", errMsg)
+			}
+			return errors.New("timeout waiting for mlx runner to start")
+		case <-ticker.C:
+			if err := s.Ping(ctx); err == nil {
+				slog.Info("mlx runner is ready", "port", s.port)
+				return nil
+			}
+		}
+	}
+}
+
+// getLastErr returns the last stderr line.
+func (s *Server) getLastErr() string {
+	s.lastErrLock.Lock()
+	defer s.lastErrLock.Unlock()
+	return s.lastErr
+}
+
+// WaitUntilRunning satisfies the LlamaServer interface.
+func (s *Server) WaitUntilRunning(ctx context.Context) error {
+	return nil
+}
+
+// Completion handles both text and image generation requests.
+func (s *Server) Completion(ctx context.Context, req llm.CompletionRequest, fn func(llm.CompletionResponse)) error {
+	seed := req.Seed
+	if seed == 0 {
+		seed = time.Now().UnixNano()
+	}
+
+	// Extract raw image bytes from llm.ImageData slice
+	var images [][]byte
+	for _, img := range req.Images {
+		images = append(images, img.Data)
+	}
+
+	// Build request for subprocess
+	creq := Request{
+		Prompt: req.Prompt,
+		Width:  req.Width,
+		Height: req.Height,
+		Steps:  int(req.Steps),
+		Seed:   seed,
+		Images: images,
+	}
+
+	// Pass LLM options if present
+	if req.Options != nil {
+		creq.Options = &RequestOptions{
+			NumPredict:  req.Options.NumPredict,
+			Temperature: float64(req.Options.Temperature),
+			TopP:        float64(req.Options.TopP),
+			TopK:        req.Options.TopK,
+			Stop:        req.Options.Stop,
+		}
+	}
+
+	body, err := json.Marshal(creq)
+	if err != nil {
+		return err
+	}
+
+	url := fmt.Sprintf("http://127.0.0.1:%d/completion", s.port)
+	httpReq, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewReader(body))
+	if err != nil {
+		return err
+	}
+	httpReq.Header.Set("Content-Type", "application/json")
+
+	resp, err := s.client.Do(httpReq)
+	if err != nil {
+		return err
+	}
+	defer resp.Body.Close()
+
+	if resp.StatusCode != http.StatusOK {
+		body, _ := io.ReadAll(resp.Body)
+		return fmt.Errorf("%s", strings.TrimSpace(string(body)))
+	}
+
+	scanner := bufio.NewScanner(resp.Body)
+	scanner.Buffer(make([]byte, 1024*1024), 16*1024*1024) // 16MB max
+	for scanner.Scan() {
+		// Parse subprocess response
+		var raw struct {
+			Image              string `json:"image,omitempty"`
+			Content            string `json:"content,omitempty"`
+			Done               bool   `json:"done"`
+			Step               int    `json:"step,omitempty"`
+			Total              int    `json:"total,omitempty"`
+			StopReason         string `json:"stop_reason,omitempty"`
+			PromptEvalCount    int    `json:"prompt_eval_count,omitempty"`
+			PromptEvalDuration int    `json:"prompt_eval_duration,omitempty"`
+			EvalCount          int    `json:"eval_count,omitempty"`
+			EvalDuration       int    `json:"eval_duration,omitempty"`
+		}
+		if err := json.Unmarshal(scanner.Bytes(), &raw); err != nil {
+			slog.Debug("mlx response parse error", "error", err, "line", string(scanner.Bytes()))
+			continue
+		}
+
+		// Log stop reason when generation completes
+		if raw.Done && raw.StopReason != "" {
+			slog.Info("mlx generation completed", "stop_reason", raw.StopReason)
+		}
+
+		// Convert to llm.CompletionResponse
+		cresp := llm.CompletionResponse{
+			Content:            raw.Content,
+			Done:               raw.Done,
+			Step:               raw.Step,
+			TotalSteps:         raw.Total,
+			Image:              raw.Image,
+			PromptEvalCount:    raw.PromptEvalCount,
+			PromptEvalDuration: time.Duration(raw.PromptEvalDuration),
+			EvalCount:          raw.EvalCount,
+			EvalDuration:       time.Duration(raw.EvalDuration),
+		}
+
+		fn(cresp)
+		if cresp.Done {
+			return nil
+		}
+	}
+
+	// Scanner exited without receiving Done - connection was likely closed
+	scanErr := scanner.Err()
+	if scanErr != nil {
+		slog.Error("mlx scanner error", "error", scanErr)
+	} else {
+		slog.Warn("mlx scanner EOF without Done response - subprocess may have crashed")
+	}
+
+	// Check if subprocess is still alive
+	if s.HasExited() {
+		slog.Error("mlx subprocess has exited unexpectedly")
+	}
+
+	return scanErr
+}
+
+// Close terminates the subprocess.
+func (s *Server) Close() error {
+	s.mu.Lock()
+	defer s.mu.Unlock()
+
+	if s.cmd != nil && s.cmd.Process != nil {
+		slog.Info("stopping mlx runner subprocess", "pid", s.cmd.Process.Pid)
+		s.cmd.Process.Signal(os.Interrupt)
+
+		// Wait briefly for graceful shutdown
+		select {
+		case <-s.done:
+		case <-time.After(5 * time.Second):
+			s.cmd.Process.Kill()
+		}
+		s.cmd = nil
+	}
+	return nil
+}
+
+// VRAMSize returns the estimated VRAM usage.
+func (s *Server) VRAMSize() uint64 {
+	return s.vramSize
+}
+
+// TotalSize returns the total memory usage.
+func (s *Server) TotalSize() uint64 {
+	return s.vramSize
+}
+
+// VRAMByGPU returns VRAM usage for a specific GPU.
+func (s *Server) VRAMByGPU(id ml.DeviceID) uint64 {
+	return s.vramSize
+}
+
+// ContextLength returns the context length (not applicable for image generation).
+func (s *Server) ContextLength() int {
+	return 0
+}
+
+// Embedding returns embeddings for the input.
+func (s *Server) Embedding(ctx context.Context, input string) ([]float32, int, error) {
+	return nil, 0, errors.New("embeddings not supported for MLX models")
+}
+
+// Tokenize tokenizes the input content.
+func (s *Server) Tokenize(ctx context.Context, content string) ([]int, error) {
+	body, err := json.Marshal(map[string]string{"content": content})
+	if err != nil {
+		return nil, err
+	}
+
+	url := fmt.Sprintf("http://127.0.0.1:%d/tokenize", s.port)
+	req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewReader(body))
+	if err != nil {
+		return nil, err
+	}
+	req.Header.Set("Content-Type", "application/json")
+
+	resp, err := s.client.Do(req)
+	if err != nil {
+		return nil, err
+	}
+	defer resp.Body.Close()
+
+	if resp.StatusCode != http.StatusOK {
+		return nil, fmt.Errorf("tokenize failed: %d", resp.StatusCode)
+	}
+
+	var result struct {
+		Tokens []int `json:"tokens"`
+	}
+	if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
+		return nil, err
+	}
+
+	return result.Tokens, nil
+}
+
+// Detokenize converts tokens back to text.
+func (s *Server) Detokenize(ctx context.Context, tokens []int) (string, error) {
+	return "", errors.New("detokenization not supported for MLX models")
+}
+
+// Pid returns the process ID of the subprocess.
+func (s *Server) Pid() int {
+	s.mu.Lock()
+	defer s.mu.Unlock()
+	if s.cmd != nil && s.cmd.Process != nil {
+		return s.cmd.Process.Pid
+	}
+	return -1
+}
+
+// GetPort returns the port the subprocess is listening on.
+func (s *Server) GetPort() int {
+	return s.port
+}
+
+// GetDeviceInfos returns device information.
+func (s *Server) GetDeviceInfos(ctx context.Context) []ml.DeviceInfo {
+	return nil
+}
+
+// HasExited returns whether the subprocess has exited.
+func (s *Server) HasExited() bool {
+	select {
+	case <-s.done:
+		return true
+	default:
+		return false
+	}
+}
+
+// Ensure Server implements llm.LlamaServer
+var _ llm.LlamaServer = (*Server)(nil)

x/imagegen/types.go

@@ -1,9 +1,9 @@
-// Package mlxrunner provides a unified MLX runner for both LLM and image generation models.
+// Package imagegen provides a unified MLX runner for both LLM and image generation models.
 //
 // This package handles safetensors models created with `ollama create --experimental`,
 // supporting both text generation (LLM) and image generation (diffusion) models
 // through a single unified interface.
-package mlxrunner
+package imagegen
 
 // Request is the request format for completion requests.
 type Request struct {

x/kvcache/cache.go

@@ -1,77 +0,0 @@
-package kvcache
-
-import (
-	"errors"
-
-	"github.com/ollama/ollama/x/ml"
-	"github.com/ollama/ollama/x/model/input"
-)
-
-var (
-	ErrKvCacheFull  = errors.New("could not find a kv cache slot")
-	ErrNotSupported = errors.New("model does not support operation")
-)
-
-type Cache interface {
-	// ** used by model implementations **
-
-	// SetLayer sets the active layer of the cache
-	SetLayer(layer int)
-
-	// Get returns the history of key and value tensors plus a mask
-	//
-	// The shape of the tensors is documented in the specific
-	// cache implementation used.
-	Get(ctx ml.Context) (ml.Tensor, ml.Tensor, ml.Tensor)
-
-	// Put stores a batch of key and value in the cache
-	//
-	// The shape of the tensors is documented in the specific
-	// cache implementation used.
-	Put(ctx ml.Context, key, value ml.Tensor)
-
-	// SetConfig controls optimizations (mostly backend-specific) that may transform
-	// the output of the cache to work better with specific kernels. If not called,
-	// the backend settings will be used. This works well when calling Attention.
-	//
-	// The config can be overridden by models, especially if they require vanilla
-	// output when implementing their own version of attention. To do this, pass
-	// an empty ml.CacheConfig.
-	//
-	// Most models will not need to use this.
-	SetConfig(ml.CacheConfig)
-
-	// ** cache management **
-
-	// Init sets up runtime parameters.
-	// backend: Used to allocate cache data storage and execute management operations (such as defrag)
-	// dtype: The data type for storing cache entries
-	// maxSequences: The maximum number of sequences stored in the cache - across all batches
-	// capacity: The number of cache entries to store, per sequence
-	// maxBatch: The maximum number of tokens that can occur in a single batch
-	Init(backend ml.Backend, dtype ml.DType, maxSequences, capacity, maxBatch int)
-
-	// Close closes the cache and frees resources associated with it
-	Close()
-
-	// StartForward is called before the start of the model's forward pass.
-	// For each token in the coming batch, there must be a corresponding
-	// entry in positions and seqs. reserve is to preallocate memory
-	// without actually storing data in the cache.
-	StartForward(ctx ml.Context, batch input.Batch, reserve bool) error
-
-	// CopyPrefix copies tokens in the range [0, len) from srcSeq to dstSeq
-	CopyPrefix(srcSeq, dstSeq int, len int32)
-
-	// CanResume returns true if the cache can continue with the next token at
-	// the given position and sequence. Assumes that the caller has already
-	// verified the contents of the cache.
-	CanResume(seq int, pos int32) bool
-
-	// Remove deletes tokens in the range [beginIndex, endIndex) from seq. Set
-	// endIndex to math.MaxInt32 to remove everything starting at beginIndex.
-	//
-	// If an error occurs, the entire context for the sequence should be
-	// removed by calling Remove(seq, 0, math.MaxInt32)
-	Remove(seq int, beginIndex, endIndex int32) error
-}

x/kvcache/causal.go

@@ -1,144 +0,0 @@
-//go:build mlx
-
-package kvcache
-
-import (
-	"github.com/ollama/ollama/x/ml"
-	"github.com/ollama/ollama/x/model/input"
-)
-
-// Causal cache stores K and V tensors according to their position in the
-// sequence. Returns the history and a mask for attending to past tokens
-type Causal struct {
-	DType ml.DType
-
-	// locations for data storage for this batch
-	curLocPut ml.Tensor
-
-	// locations for data storage for this batch
-	curLocGet ml.Tensor
-
-	// the active layer for Get and Put
-	curLayer int
-
-	capacity int
-
-	offset int
-
-	backend      ml.Backend
-	ctxs         map[int]ml.Context
-	keys, values map[int]ml.Tensor
-
-	// TODO is this needed per layer, or will it always be consistent?
-	kHeadDims, vHeadDims, numKVHeads map[int]int
-}
-
-func NewCausalCache() *Causal {
-	return &Causal{
-		ctxs:       make(map[int]ml.Context),
-		keys:       make(map[int]ml.Tensor),
-		values:     make(map[int]ml.Tensor),
-		kHeadDims:  make(map[int]int),
-		vHeadDims:  make(map[int]int),
-		numKVHeads: make(map[int]int),
-	}
-}
-
-func (c *Causal) Init(backend ml.Backend, dtype ml.DType, maxSequences, capacity, maxBatch int) {
-	c.DType = dtype
-	c.capacity = capacity
-	c.backend = backend
-}
-
-func (c *Causal) SetConfig(config ml.CacheConfig) {}
-
-func (c *Causal) SetLayer(layer int) {
-	c.curLayer = layer
-}
-
-func (c *Causal) Close() {
-	// slog.Info("XXX Causal.Close called", "number of contexts", len(c.ctxs))
-	for _, ctx := range c.ctxs {
-		ctx.Close()
-	}
-}
-
-func (c *Causal) StartForward(ctx ml.Context, batch input.Batch, reserve bool) error {
-	locsPut := make([]int32, len(batch.Positions))
-	for i := c.offset; i < len(batch.Positions); i++ {
-		locsPut[i-c.offset] = int32(i)
-	}
-	c.offset += len(batch.Positions)
-	locsGet := make([]int32, c.offset)
-	for i := range c.offset {
-		locsGet[i] = int32(i)
-	}
-	c.curLocGet = ctx.Input().FromInts(locsGet, len(locsGet))
-	c.curLocPut = ctx.Input().FromInts(locsPut, len(locsPut))
-	// slog.Info("XXX Causal.StartForward", "offset", c.offset, "put", locsPut, "get", locsGet)
-
-	return nil
-}
-func (c *Causal) Put(ctx ml.Context, key, value ml.Tensor) {
-	kHeadDim := key.Dim(3)
-	vHeadDim := value.Dim(3)
-	numKVHeads := key.Dim(1)
-	batchSize := key.Dim(2)
-	kCellSize := kHeadDim * numKVHeads
-	vCellSize := vHeadDim * numKVHeads
-	// slog.Info("XXX Causal.Put", "kHeadDim", kHeadDim, "vHeadDim", vHeadDim, "numKVHeads", numKVHeads, "batchSize", batchSize, "kCellSize", kCellSize, "vCellSize", vCellSize)
-
-	if _, ok := c.ctxs[c.curLayer]; !ok {
-		// slog.Info("XXX Causal.Put creating new context", "c.curLayer", c.curLayer)
-		c.ctxs[c.curLayer] = c.backend.NewContext().Layer(c.curLayer)
-	}
-
-	if _, ok := c.keys[c.curLayer]; !ok {
-		// slog.Info("XXX Causal.Put allocating keys and values", "c.curLayer", c.curLayer, "shape", []int{c.capacity, kCellSize})
-		c.keys[c.curLayer] = c.ctxs[c.curLayer].Zeros(c.DType, c.capacity, kCellSize)
-		c.values[c.curLayer] = c.ctxs[c.curLayer].Zeros(c.DType, c.capacity, vCellSize)
-		c.kHeadDims[c.curLayer] = kHeadDim
-		c.vHeadDims[c.curLayer] = vHeadDim
-		c.numKVHeads[c.curLayer] = numKVHeads
-	}
-	key = key.Reshape(ctx, batchSize, 1, kCellSize)
-
-	// slog.Info("XXX Causal.Put ", "c.keys[c.curLayer]", c.keys[c.curLayer])
-	// slog.Info("XXX Causal.Put ", "c.curLocPut", c.curLocPut)
-	// slog.Info("XXX Causal.Put ", "key", key)
-	ctx.Forward(c.keys[c.curLayer].Scatter(ctx, []ml.Tensor{c.curLocPut}, key, []int{0}))
-	value = value.Reshape(ctx, batchSize, 1, vCellSize)
-	ctx.Forward(c.values[c.curLayer].Scatter(ctx, []ml.Tensor{c.curLocPut}, value, []int{0}))
-
-}
-
-func (c *Causal) Get(ctx ml.Context) (ml.Tensor, ml.Tensor, ml.Tensor) {
-	key := c.keys[c.curLayer]
-	value := c.values[c.curLayer]
-
-	kHeadDim := c.kHeadDims[c.curLayer]
-	vHeadDim := c.vHeadDims[c.curLayer]
-	numKVHeads := c.numKVHeads[c.curLayer]
-	// rowSize := numKVHeads * c.curBatchSize
-	// cachedSize := c.curMask.Dim(1)
-	cachedSize := c.curLocGet.Dim(0)
-	// kCellSize := kHeadDim * numKVHeads
-	// vCellSize := vHeadDim * numKVHeads
-	// slog.Info("XXX Causal.Get", "shape", []int{1, numKVHeads, cachedSize, kHeadDim})
-
-	key = key.TakeAxes(ctx, c.curLocGet, 0).Reshape(ctx, 1, numKVHeads, cachedSize, kHeadDim)
-	value = value.TakeAxes(ctx, c.curLocGet, 0).Reshape(ctx, 1, numKVHeads, cachedSize, vHeadDim)
-	return key, value, nil
-}
-
-func (c *Causal) CopyPrefix(srcSeq, dstSeq int, len int32) {
-	panic("not implemented")
-}
-
-func (c *Causal) CanResume(seq int, pos int32) bool {
-	panic("not implemented")
-}
-
-func (c *Causal) Remove(seq int, beginIndex, endIndex int32) error {
-	panic("not implemented")
-}

x/kvcache/encoder.go

@@ -1,156 +0,0 @@
-package kvcache
-
-// import (
-// 	"fmt"
-
-// 	"github.com/ollama/ollama/ml"
-// 	"github.com/ollama/ollama/model/input"
-// )
-
-// // Encoder cache stores K and V tensors that are position independent
-// //
-// // The tensors can be of any shape and will be returned as they were stored
-// // The mask is currently always nil
-// //
-// // Not currently safe for multiple sequences
-// type EncoderCache struct {
-// 	// config controls mostly backend-specific optimizations
-// 	config *ml.CacheConfig
-
-// 	// ** current forward pass **
-
-// 	// the active layer for Get and Put
-// 	curLayer int
-
-// 	// if something is stored during this pass, this
-// 	// will be the position (but there is no guarantee
-// 	// anything will be stored)
-// 	curPos int32
-
-// 	// curReserve indicates that this forward pass is only for
-// 	// memory reservation and we should not update our metadata
-// 	// based on it.
-// 	curReserve bool
-
-// 	// ** cache metadata **
-
-// 	// was something stored in the cache?
-// 	encoderCached bool
-
-// 	// position of the cached data
-// 	encoderPos int32
-
-// 	// ** cache data storage **
-// 	backend      ml.Backend
-// 	ctxs         map[int]ml.Context
-// 	keys, values map[int]ml.Tensor
-// }
-
-// func NewEncoderCache() *EncoderCache {
-// 	return &EncoderCache{
-// 		ctxs:   make(map[int]ml.Context),
-// 		keys:   make(map[int]ml.Tensor),
-// 		values: make(map[int]ml.Tensor),
-// 	}
-// }
-
-// func (c *EncoderCache) Init(backend ml.Backend, dtype ml.DType, maxSequences, capacity, maxBatch int) {
-// 	if c.config == nil {
-// 		var config ml.CacheConfig
-// 		if cc, ok := backend.(ml.BackendCacheConfig); ok {
-// 			config = cc.CacheConfig()
-// 		}
-// 		c.config = &config
-// 	}
-
-// 	if maxSequences > 1 {
-// 		panic(fmt.Errorf("encoder cache does not support multiple sequences; requested: %v", maxSequences))
-// 	}
-
-// 	if c.config.CachePadding != 0 && c.config.CachePadding != 1 {
-// 		panic(fmt.Errorf("encoder cache is unable to enforce requested CachePadding (%v)", c.config.CachePadding))
-// 	}
-
-// 	c.backend = backend
-// }
-
-// func (c *EncoderCache) SetConfig(config ml.CacheConfig) {
-// 	if c.config != nil {
-// 		panic("config cannot be changed after being previously set, either by the model or backend")
-// 	}
-
-// 	c.config = &config
-// }
-
-// func (c *EncoderCache) Close() {
-// 	for _, ctx := range c.ctxs {
-// 		ctx.Close()
-// 	}
-// }
-
-// func (c *EncoderCache) StartForward(ctx ml.Context, batch input.Batch, reserve bool) error {
-// 	// We work with the most recent image
-// 	if len(batch.Multimodal) > 0 {
-// 		c.curPos = batch.Positions[batch.Multimodal[len(batch.Multimodal)-1].Index]
-// 	}
-
-// 	c.curReserve = reserve
-
-// 	return nil
-// }
-
-// func (c *EncoderCache) SetLayer(layer int) {
-// 	c.curLayer = layer
-// }
-
-// func (c *EncoderCache) EncoderCached() bool {
-// 	return c.encoderCached
-// }
-
-// func (c *EncoderCache) Get(ctx ml.Context) (ml.Tensor, ml.Tensor, ml.Tensor) {
-// 	return c.keys[c.curLayer], c.values[c.curLayer], nil
-// }
-
-// func (c *EncoderCache) Put(ctx ml.Context, key, value ml.Tensor) {
-// 	if !c.curReserve {
-// 		c.encoderPos = c.curPos
-// 		c.encoderCached = true
-// 	}
-
-// 	if c.config.PermutedV {
-// 		value = value.Transpose(ctx, 1, 2, 0, 3)
-// 	}
-
-// 	if _, ok := c.ctxs[c.curLayer]; !ok {
-// 		c.ctxs[c.curLayer] = c.backend.NewContext().Layer(c.curLayer)
-// 	}
-
-// 	if _, ok := c.keys[c.curLayer]; !ok {
-// 		c.keys[c.curLayer] = c.ctxs[c.curLayer].Empty(key.DType(), key.Shape()...)
-// 	}
-
-// 	if _, ok := c.values[c.curLayer]; !ok {
-// 		c.values[c.curLayer] = c.ctxs[c.curLayer].Empty(value.DType(), value.Shape()...)
-// 	}
-
-// 	ctx.Forward(
-// 		key.Copy(ctx, c.keys[c.curLayer]),
-// 		value.Copy(ctx, c.values[c.curLayer]),
-// 	)
-// }
-
-// func (c *EncoderCache) CopyPrefix(srcSeq, dstSeq int, len int32) {
-// 	panic("encoder cache does not support multiple sequences")
-// }
-
-// func (c *EncoderCache) CanResume(seq int, pos int32) bool {
-// 	return true
-// }
-
-// func (c *EncoderCache) Remove(seq int, beginIndex, endIndex int32) error {
-// 	if c.encoderPos >= beginIndex && c.encoderPos < endIndex {
-// 		c.encoderCached = false
-// 	}
-
-// 	return nil
-// }

x/kvcache/wrapper.go

@@ -1,110 +0,0 @@
-package kvcache
-
-// import (
-// 	"math"
-
-// 	"github.com/ollama/ollama/ml"
-// 	"github.com/ollama/ollama/model/input"
-// )
-
-// // Wrapper cache is a container for multiple types of caches,
-// // such as for the encoding and decoding portions of a model.
-// type WrapperCache struct {
-// 	// caches we are wrapping
-// 	caches []Cache
-
-// 	// cache to be used for this layer
-// 	curType int
-// }
-
-// func NewWrapperCache(caches ...Cache) *WrapperCache {
-// 	return &WrapperCache{
-// 		caches: caches,
-// 	}
-// }
-
-// func (c *WrapperCache) Init(backend ml.Backend, dtype ml.DType, maxSequences, capacity, maxBatch int) {
-// 	for _, cache := range c.caches {
-// 		cache.Init(backend, dtype, maxSequences, capacity, maxBatch)
-// 	}
-// }
-
-// func (c *WrapperCache) SetConfig(config ml.CacheConfig) {
-// 	for _, cache := range c.caches {
-// 		cache.SetConfig(config)
-// 	}
-// }
-
-// func (c *WrapperCache) Close() {
-// 	for _, cache := range c.caches {
-// 		cache.Close()
-// 	}
-// }
-
-// func (c *WrapperCache) StartForward(ctx ml.Context, batch input.Batch, reserve bool) error {
-// 	for i, cache := range c.caches {
-// 		err := cache.StartForward(ctx, batch, reserve)
-// 		if err != nil {
-// 			// unwind on error - Remove with endIndex set to math.MaxInt32 does not fail
-// 			for j := i - 1; j >= 0; j-- {
-// 				for k := range batch.Positions {
-// 					_ = c.caches[j].Remove(batch.Sequences[k], batch.Positions[k], math.MaxInt32)
-// 				}
-// 			}
-// 			return err
-// 		}
-// 	}
-
-// 	c.curType = 0
-// 	return nil
-// }
-
-// func (c *WrapperCache) SetLayer(layer int) {
-// 	for _, cache := range c.caches {
-// 		cache.SetLayer(layer)
-// 	}
-// }
-
-// func (c *WrapperCache) SetLayerType(layerType int) {
-// 	c.curType = layerType
-// }
-
-// func (c *WrapperCache) UnderlyingCache() Cache {
-// 	return c.caches[c.curType]
-// }
-
-// func (c *WrapperCache) Get(ctx ml.Context) (ml.Tensor, ml.Tensor, ml.Tensor) {
-// 	return c.caches[c.curType].Get(ctx)
-// }
-
-// func (c *WrapperCache) Put(ctx ml.Context, key, value ml.Tensor) {
-// 	c.caches[c.curType].Put(ctx, key, value)
-// }
-
-// func (c *WrapperCache) CopyPrefix(srcSeq, dstSeq int, len int32) {
-// 	for _, cache := range c.caches {
-// 		cache.CopyPrefix(srcSeq, dstSeq, len)
-// 	}
-// }
-
-// func (c *WrapperCache) CanResume(seq int, pos int32) bool {
-// 	for _, cache := range c.caches {
-// 		if !cache.CanResume(seq, pos) {
-// 			return false
-// 		}
-// 	}
-
-// 	return true
-// }
-
-// func (c *WrapperCache) Remove(seq int, beginIndex, endIndex int32) error {
-// 	// If the one of these fails, the caller is supposed to retry with endIndex set to math.MaxInt32, which should not fail
-// 	for _, cache := range c.caches {
-// 		err := cache.Remove(seq, beginIndex, endIndex)
-// 		if err != nil {
-// 			return err
-// 		}
-// 	}
-
-// 	return nil
-// }