Files
ollama/server/create.go
Daniel Hiltgen 9db4bdbad6 runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031)
* broad lint fixes to sidestep CI scope glitch

* runner: Remove CGO engines, use llama-server exclusively for GGML models

Remove the vendored GGML and llama.cpp backend, CGO runner, Go model
implementations, and sample.  llama-server (built from upstream llama.cpp via
FetchContent) is now the sole inference engine for GGUF-based models.
(Safetensor based models continue to run on the new MLX engine.)  This allows
us to more rapidly pick up new capabilities and fixes from llama.cpp as they
come out.

On windows this now requires recent AMD driver versions to support ROCm v7 as
llama.cpp currently does not support building against v6.

* llama/compat: load Ollama-format GGUFs in llama-server

Squashed from upstream/jmorganca/llama-compat on 2026-04-29.
Source tip: 0c33775d37.

Original source commits:
- 25223160d llama/compat: add in-memory shim so llama-server can load Ollama-format GGUFs
- 7449b539a llm,server: route Ollama-format gemma3 blobs through llama/compat
- 436f2e2b1 llama/compat: make patch-apply idempotent
- 8c2c9d4c8 llama/compat: extend gemma3 handler to cover 1B and 270M blobs
- 021389f7b llama/compat: shrink clip.cpp injection from 18 lines to 1
- 61b367ec2 llama/compat: shrink patch to pure call-site hooks (34 -> 20 lines)
- 36049361c llama/compat: simplify shim (gemma3-tested)
- 8fa664865 llama/compat: add qwen35moe text handler
- db0c74530 llama/compat: add qwen35moe vision (clip) support
- 2a388da77 llama/compat: split shared infra into a util TU
- 9a69a17dc llama/compat: document non-public API dependencies
- d0f38a915 llama/compat: add gpt-oss and lfm2 handlers
- 086071822 llama/compat: add mistral3 text handler (vision TODO)
- 63bde9ff7 llama/compat: add mistral3 vision (clip) support
- 3a57b89d5 llama/compat: apply LLaMA RoPE permute to mistral3 vision Q/K
- 99cb87439 llama/compat: add qwen35, gemma4, deepseek-ocr handlers
- 2c7850dba llama/compat: add nemotron_h_moe handler (latent FFN + MTP skip)
- 9e3b54225 llama/compat: add llama4 text + clip handlers
- 034fee349 llama/compat: add gemma4 clip handler (gemma4v projector)
- 9945c5a93 server: remove dhiltgen/* compat redirect table
- 5d4539101 llama/compat: rewrite gemma4 tokenizer model to BPE
- 7e0765327 llama/compat: add glm-ocr text handler + text-loader load-op hook
- f1bd1a25a llama/compat: add glm-ocr clip handler (glm4v projector)
- 4b5cf3420 llama/compat: collapse text-loader hook back to one new patch line
- eb4ecf4fc llama/compat: extend gemma4 clip handler to gemma4a (audio)
- a23a5e76f llama/compat: fix gemma4a per-block norm tensor mapping
- cd2dcaff4 llama/compat: add embeddinggemma handler
- 1ce8a6b26 llama/compat: add qwen3-vl + qwen2.5-vl handlers
- fd98ffa1e llama/compat: add gemma3n + glm4moelite handlers
- cc7bdf0bc llama/compat: handle null buft in maybe_load_tensor
- 0c33775d3 llama/compat: disable mmap when load_op transforms text-side tensors

* refine implementation

* ci: fix windows MLX build

* ci: fix windows llama-server build

* ci: fix windows rocm build

* ci: windows mlx tuning

Shorten long-tail on build, and get OllamaSetup.exe back under 2g limit

* ci: fix windows dependencies

* win: fix dependency gathering

* disable openmp

* win: arm64 cross-compile build

also DRY out CI steps

* scheduler improvements

* ci: improvements from #15982

* win: favor ninja for faster developer builds

* win: fix build

* win: fix arm64 cross-compile

* win: avoid spaces in compiler path

* misc discovery fixes, and bos handling

* lint fixes

* win: fix arm cross-compile build/CI bugs

* llama.cpp update

* win: handle multiple CRT dirs

* vulkan: add windows iGPU detection

* fix creation bugs for patched models, other refactoring work

* tune batch size for better performance

* ci and lint fixes

* fix repeat_last_n bug

* build: revamp build for better developer UX

* amd, sampler, qwen3next fixes

* version bump

* fix mlx build

* revamp GPU discovery

Scanning the output of llama-server is turning out to be too error prone across
llama.cpp updates, so this switches to a thin dynamic library load against the
bundled GGML libraries so more details can be gathered from the API.

* version bump

* missing file

* ci: fix cache miss on rocm build

* refine vulkan dep handling

* fix ps reporting bug on full GPU load

* improve cmake wiring for customized local builds

* version bump

* docker build arg cleanup

* improve windows exit error logs

* fix community gemma4 support and ci flakes

* fix mlx unit test

* tighten up ps logic to avoid double counting fit log lines

* version bump

* fix ps view for full gpu layer offload

* add MTP wiring for llama-server and create with GGUFs

* pick best template by capabilities

* version bump

* ci: harden apt repos

* remove unused cpu core discovery

* adjust batch default logic to reduce OOMs

* support larger tool calls

* fix audio support, template show

* qwen35 mtp patch support

* flesh out dtypes

* rocm deps

* version bump

* lint fix

* block broken gfx1150 on windows

* fix qwen3.5 moe mtp tensors in patch

* mmproj oom fallback and vulkan on by default

* qwen MTP compat fix

* version bump

* ci: fix WoA cross-compile

* ci: workaround ui tool in cross-compile

* version bump

* win: enable OpenMP for CPU builds

* build: improve developer UX

* ci: windows path workaround for CPU build

* win: fix WoA dependencies

* win: fix large offset reads for mmproj patched loads

* version bump

* fix vulkan dup detection

* add OLLAMA_IGPU_ENABLE and largely disable iGPUs by default

* opt-in MTP, win large offset, integraton fixes

* fix unit test scheduler interaction hang

* fix multi-gpu filtering

* version bump

* review comments

* fix thinking level

* fix linux rocm ordering and granite 3.3 template

* version bump

* ci fix - non-shallow MLX checkout

* bypass linux sysfs unit test on windows

---------

Co-authored-by: jmorganca <jmorganca@gmail.com>
2026-05-29 13:35:47 -07:00

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package server
import (
"bytes"
"cmp"
"context"
"encoding/json"
"errors"
"fmt"
"io"
"io/fs"
"log/slog"
"maps"
"net"
"net/http"
"net/url"
"os"
"path"
"path/filepath"
"regexp"
"slices"
"strconv"
"strings"
"sync/atomic"
"github.com/gin-gonic/gin"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/convert"
"github.com/ollama/ollama/envconfig"
"github.com/ollama/ollama/format"
ofs "github.com/ollama/ollama/fs"
"github.com/ollama/ollama/fs/ggml"
"github.com/ollama/ollama/manifest"
"github.com/ollama/ollama/template"
"github.com/ollama/ollama/types/errtypes"
"github.com/ollama/ollama/types/model"
)
var (
errNoFilesProvided = errors.New("no files provided to convert")
errOnlyOneAdapterSupported = errors.New("only one adapter is currently supported")
errOnlyGGUFSupported = errors.New("supplied file was not in GGUF format")
errUnknownType = errors.New("unknown type")
errNeitherFromOrFiles = errors.New("neither 'from' or 'files' was specified")
errFilePath = errors.New("file path must be relative")
errRemoteDraftUnsupported = errors.New("DRAFT cannot be used with remote models")
)
func (s *Server) CreateHandler(c *gin.Context) {
config := &model.ConfigV2{
OS: "linux",
Architecture: "amd64",
RootFS: model.RootFS{
Type: "layers",
},
}
var r api.CreateRequest
if err := c.ShouldBindJSON(&r); 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
}
config.Renderer = r.Renderer
config.Parser = r.Parser
config.Requires = r.Requires
for v, digest := range r.Files {
if !fs.ValidPath(v) {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": errFilePath.Error()})
return
}
if digest == "" {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": manifest.ErrInvalidDigestFormat.Error()})
return
}
}
for v, digest := range r.DraftFiles {
if !fs.ValidPath(v) {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": errFilePath.Error()})
return
}
if digest == "" {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": manifest.ErrInvalidDigestFormat.Error()})
return
}
}
if r.DraftQuantize != "" && len(r.DraftFiles) == 0 {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "--draft-quantize requires a DRAFT model"})
return
}
for _, digest := range r.Adapters {
if digest == "" {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": manifest.ErrInvalidDigestFormat.Error()})
return
}
}
name := model.ParseName(cmp.Or(r.Model, r.Name))
if !name.IsValid() {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": errtypes.InvalidModelNameErrMsg})
return
}
name, err := getExistingName(name)
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
ch := make(chan any)
go func() {
defer close(ch)
fn := func(resp api.ProgressResponse) {
ch <- resp
}
oldManifest, _ := manifest.ParseNamedManifest(name)
var baseLayers []*layerGGML
var err error
var remote bool
if r.From != "" {
slog.Debug("create model from model name", "from", r.From)
fromRef, err := parseAndValidateModelRef(r.From)
if err != nil {
ch <- gin.H{"error": errtypes.InvalidModelNameErrMsg, "status": http.StatusBadRequest}
return
}
fromName := fromRef.Name
remoteHost := r.RemoteHost
if fromRef.Source == modelSourceCloud && remoteHost == "" {
remoteHost = cloudProxyBaseURL
}
if remoteHost != "" {
ru, err := remoteURL(remoteHost)
if err != nil {
ch <- gin.H{"error": "bad remote", "status": http.StatusBadRequest}
return
}
config.RemoteModel = fromRef.Base
config.RemoteHost = ru
remote = true
} else {
ctx, cancel := context.WithCancel(c.Request.Context())
defer cancel()
baseLayers, err = parseFromModel(ctx, fromName, fn)
if err != nil {
ch <- gin.H{"error": err.Error()}
}
if err == nil && !remote {
mf, mErr := manifest.ParseNamedManifest(fromName)
if mErr == nil && mf.Config.Digest != "" {
configPath, pErr := manifest.BlobsPath(mf.Config.Digest)
if pErr == nil {
if cfgFile, fErr := os.Open(configPath); fErr == nil {
var baseConfig model.ConfigV2
if decErr := json.NewDecoder(cfgFile).Decode(&baseConfig); decErr == nil {
if config.Renderer == "" {
config.Renderer = baseConfig.Renderer
}
if config.Parser == "" {
config.Parser = baseConfig.Parser
}
if config.Requires == "" {
config.Requires = baseConfig.Requires
}
if config.ModelFormat == "" {
config.ModelFormat = baseConfig.ModelFormat
}
if len(config.Capabilities) == 0 {
config.Capabilities = baseConfig.Capabilities
}
}
cfgFile.Close()
}
}
}
}
}
} else if r.Files != nil {
baseLayers, err = convertModelFromFiles(r.Files, baseLayers, false, fn)
if err != nil {
for _, badReq := range []error{errNoFilesProvided, errOnlyGGUFSupported, errUnknownType} {
if errors.Is(err, badReq) {
ch <- gin.H{"error": err.Error(), "status": http.StatusBadRequest}
return
}
}
ch <- gin.H{"error": err.Error()}
return
}
} else {
ch <- gin.H{"error": errNeitherFromOrFiles.Error(), "status": http.StatusBadRequest}
return
}
if remote && len(r.DraftFiles) > 0 {
ch <- gin.H{"error": errRemoteDraftUnsupported.Error(), "status": http.StatusBadRequest}
return
}
var draftLayers []*layerGGML
if !remote && r.DraftFiles != nil {
draftLayers, err = convertDraftModelFromFiles(r.DraftFiles, baseLayers, fn)
if err != nil {
for _, badReq := range []error{errNoFilesProvided, errOnlyGGUFSupported, errUnknownType, errFilePath} {
if errors.Is(err, badReq) {
ch <- gin.H{"error": err.Error(), "status": http.StatusBadRequest}
return
}
}
ch <- gin.H{"error": err.Error(), "status": http.StatusBadRequest}
return
}
}
var adapterLayers []*layerGGML
if !remote && r.Adapters != nil {
adapterLayers, err = convertModelFromFiles(r.Adapters, baseLayers, true, fn)
if err != nil {
for _, badReq := range []error{errNoFilesProvided, errOnlyOneAdapterSupported, errOnlyGGUFSupported, errUnknownType, errFilePath} {
if errors.Is(err, badReq) {
ch <- gin.H{"error": err.Error(), "status": http.StatusBadRequest}
return
}
}
ch <- gin.H{"error": err.Error(), "status": http.StatusBadRequest}
return
}
}
if len(adapterLayers) > 0 {
baseLayers = append(baseLayers, adapterLayers...)
}
if len(draftLayers) > 0 {
baseLayers = append(baseLayers, draftLayers...)
}
// Info is not currently exposed by Modelfiles, but allows overriding various
// config values
if r.Info != nil {
caps, ok := r.Info["capabilities"]
if ok {
switch tcaps := caps.(type) {
case []any:
caps := make([]string, len(tcaps))
for i, c := range tcaps {
str, ok := c.(string)
if !ok {
continue
}
caps[i] = str
}
config.Capabilities = append(config.Capabilities, caps...)
}
}
strFromInfo := func(k string) string {
v, ok := r.Info[k]
if ok {
val := v.(string)
return val
}
return ""
}
vFromInfo := func(k string) float64 {
v, ok := r.Info[k]
if ok {
val := v.(float64)
return val
}
return 0
}
config.ModelFamily = strFromInfo("model_family")
if config.ModelFamily != "" {
config.ModelFamilies = []string{config.ModelFamily}
}
config.BaseName = strFromInfo("base_name")
config.FileType = strFromInfo("quantization_level")
config.ModelType = strFromInfo("parameter_size")
config.ContextLen = int(vFromInfo("context_length"))
config.EmbedLen = int(vFromInfo("embedding_length"))
}
if err := createModel(r, name, baseLayers, config, fn); err != nil {
if errors.Is(err, errBadTemplate) {
ch <- gin.H{"error": err.Error(), "status": http.StatusBadRequest}
return
}
ch <- gin.H{"error": err.Error()}
return
}
if !envconfig.NoPrune() && oldManifest != nil {
if err := oldManifest.RemoveLayers(); err != nil {
ch <- gin.H{"error": err.Error()}
}
}
s.refreshModelListCache(name)
ch <- api.ProgressResponse{Status: "success"}
}()
if r.Stream != nil && !*r.Stream {
waitForStream(c, ch)
return
}
streamResponse(c, ch)
}
func remoteURL(raw string) (string, error) {
// Specialcase: user supplied only a path ("/foo/bar").
if strings.HasPrefix(raw, "/") {
return (&url.URL{
Scheme: "http",
Host: net.JoinHostPort("localhost", "11434"),
Path: path.Clean(raw),
}).String(), nil
}
if !strings.Contains(raw, "://") {
raw = "http://" + raw
}
if raw == "ollama.com" || raw == "http://ollama.com" {
raw = "https://ollama.com:443"
}
u, err := url.Parse(raw)
if err != nil {
return "", fmt.Errorf("parse error: %w", err)
}
if u.Host == "" {
u.Host = "localhost"
}
hostPart, portPart, err := net.SplitHostPort(u.Host)
if err == nil {
u.Host = net.JoinHostPort(hostPart, portPart)
} else {
u.Host = net.JoinHostPort(u.Host, "11434")
}
if u.Path != "" {
u.Path = path.Clean(u.Path)
}
if u.Path == "/" {
u.Path = ""
}
return u.String(), nil
}
func convertModelFromFiles(files map[string]string, baseLayers []*layerGGML, isAdapter bool, fn func(resp api.ProgressResponse)) ([]*layerGGML, error) {
return convertModelFromFilesWithMediaType(files, baseLayers, isAdapter, "", true, fn)
}
func convertDraftModelFromFiles(files map[string]string, baseLayers []*layerGGML, fn func(resp api.ProgressResponse)) ([]*layerGGML, error) {
return convertModelFromFilesWithMediaType(files, baseLayers, false, manifest.MediaTypeImageDraft, false, fn)
}
func convertModelFromFilesWithMediaType(files map[string]string, baseLayers []*layerGGML, isAdapter bool, mediaType string, detectTemplate bool, fn func(resp api.ProgressResponse)) ([]*layerGGML, error) {
switch detectModelTypeFromFiles(files) {
case "safetensors":
layers, err := convertFromSafetensors(files, baseLayers, isAdapter, mediaType, detectTemplate, fn)
if err != nil {
slog.Error("error converting from safetensors", "error", err)
return nil, err
}
return layers, nil
case "gguf":
if len(files) == 0 {
return nil, errNoFilesProvided
} else if len(files) > 1 && isAdapter {
return nil, errOnlyOneAdapterSupported
}
filePaths := make([]string, 0, len(files))
for filePath := range files {
filePaths = append(filePaths, filePath)
}
slices.Sort(filePaths)
var allLayers []*layerGGML
var splitGroupKeys []string
splitGroups := map[string][]*layerGGML{}
for _, filePath := range filePaths {
layers, err := ggufLayersWithMediaType(files[filePath], filePath, mediaType, fn)
if err != nil {
return nil, err
}
for _, layer := range layers {
if key, ok, err := splitGGUFGroupKey(layer); err != nil {
return nil, err
} else if ok {
if _, exists := splitGroups[key]; !exists {
splitGroupKeys = append(splitGroupKeys, key)
}
splitGroups[key] = append(splitGroups[key], layer)
continue
}
allLayers = append(allLayers, layer)
}
}
for _, key := range splitGroupKeys {
layer, err := mergeSplitGGUFLayers(splitGroups[key])
if err != nil {
return nil, err
}
allLayers = append(allLayers, layer)
}
if detectTemplate {
return detectChatTemplate(allLayers)
}
return allLayers, nil
default:
return nil, errUnknownType
}
}
func detectModelTypeFromFiles(files map[string]string) string {
for fn := range files {
if strings.HasSuffix(fn, ".safetensors") {
return "safetensors"
} else if strings.HasSuffix(fn, ".gguf") {
return "gguf"
} else {
// try to see if we can find a gguf file even without the file extension
blobPath, err := manifest.BlobsPath(files[fn])
if err != nil {
slog.Error("error getting blobs path", "file", fn)
return ""
}
f, err := os.Open(blobPath)
if err != nil {
slog.Error("error reading file", "error", err)
return ""
}
defer f.Close()
buf := make([]byte, 4)
_, err = f.Read(buf)
if err != nil {
slog.Error("error reading file", "error", err)
return ""
}
ct := ggml.DetectContentType(buf)
if ct == "gguf" {
return "gguf"
}
}
}
return ""
}
func convertFromSafetensors(files map[string]string, baseLayers []*layerGGML, isAdapter bool, mediaType string, detectTemplate bool, fn func(resp api.ProgressResponse)) ([]*layerGGML, error) {
tmpDir, err := os.MkdirTemp(envconfig.Models(), "ollama-safetensors")
if err != nil {
return nil, err
}
defer os.RemoveAll(tmpDir)
// Set up a root to validate paths
root, err := os.OpenRoot(tmpDir)
if err != nil {
return nil, err
}
defer root.Close()
for fp, digest := range files {
if !fs.ValidPath(fp) {
return nil, fmt.Errorf("%w: %s", errFilePath, fp)
}
if _, err := root.Stat(fp); err != nil && !errors.Is(err, fs.ErrNotExist) {
// Path is likely outside the root
return nil, fmt.Errorf("%w: %s: %s", errFilePath, err, fp)
}
blobPath, err := manifest.BlobsPath(digest)
if err != nil {
return nil, err
}
if err := createLink(blobPath, filepath.Join(tmpDir, fp)); err != nil {
return nil, err
}
}
t, err := os.CreateTemp(tmpDir, "fp16")
if err != nil {
return nil, err
}
defer t.Close()
var projFile *os.File
if !isAdapter {
projFile, err = os.CreateTemp(tmpDir, "projector")
if err != nil {
return nil, err
}
defer projFile.Close()
}
if !isAdapter {
fn(api.ProgressResponse{Status: "converting model"})
mediaType = cmp.Or(mediaType, "application/vnd.ollama.image.model")
if mediaType == manifest.MediaTypeImageDraft {
if err := convertMTPDraftFromSafetensors(os.DirFS(tmpDir), t, baseLayers); err != nil {
return nil, err
}
} else {
if err := convert.ConvertModel(os.DirFS(tmpDir), t, projFile); err != nil {
return nil, err
}
}
} else {
kv, err := kvFromLayers(baseLayers)
if err != nil {
return nil, err
}
fn(api.ProgressResponse{Status: "converting adapter"})
mediaType = "application/vnd.ollama.image.adapter"
if err := convert.ConvertAdapter(os.DirFS(tmpDir), t, kv); err != nil {
return nil, err
}
}
if _, err := t.Seek(0, io.SeekStart); err != nil {
return nil, err
}
layer, err := manifest.NewLayer(t, mediaType)
if err != nil {
return nil, err
}
bin, err := layer.Open()
if err != nil {
return nil, err
}
defer bin.Close()
f, err := ggml.Decode(bin, -1)
if err != nil {
return nil, err
}
layers := []*layerGGML{{Layer: layer, GGML: f, rewriteForCreate: true}}
if !isAdapter {
projSize, err := projFile.Seek(0, io.SeekEnd)
if err != nil {
return nil, err
}
if projSize > 0 {
if _, err := projFile.Seek(0, io.SeekStart); err != nil {
return nil, err
}
projLayer, err := manifest.NewLayer(projFile, "application/vnd.ollama.image.projector")
if err != nil {
return nil, err
}
projBin, err := projLayer.Open()
if err != nil {
return nil, err
}
defer projBin.Close()
projGGML, err := ggml.Decode(projBin, -1)
if err != nil {
return nil, err
}
projectorLayer := &layerGGML{Layer: projLayer, GGML: projGGML, rewriteForCreate: true}
if needsDefaultLlavaProjectorType(projGGML) {
projectorLayer, err = addDefaultLlavaProjectorType(projectorLayer)
if err != nil {
return nil, err
}
}
layers = append(layers, projectorLayer)
}
if detectTemplate {
return detectChatTemplate(layers)
}
}
return layers, nil
}
func convertMTPDraftFromSafetensors(fsys fs.FS, out *os.File, baseLayers []*layerGGML) error {
baseLayer, err := baseModelLayer(baseLayers)
if err != nil {
return err
}
tensors, cleanup, err := baseLayerTensors(baseLayer)
if err != nil {
return err
}
defer cleanup()
return convert.ConvertQwen35MTPDraft(fsys, out, baseLayer.GGML.KV(), tensors)
}
func baseLayerTensors(layer *layerGGML) ([]*ggml.Tensor, func(), error) {
if len(layer.splitParts) == 0 {
blobPath, err := manifest.BlobsPath(layer.Digest)
if err != nil {
return nil, nil, err
}
blob, err := os.Open(blobPath)
if err != nil {
return nil, nil, err
}
tensors := tensorsFromGGUFFile(blob, layer.GGML)
return tensors, func() { blob.Close() }, nil
}
var files []*os.File
tensors := make([]*ggml.Tensor, 0, len(layer.GGML.Tensors().Items()))
cleanup := func() {
for _, f := range files {
f.Close()
}
}
for _, part := range layer.splitParts {
blobPath, err := manifest.BlobsPath(part.Digest)
if err != nil {
cleanup()
return nil, nil, err
}
blob, err := os.Open(blobPath)
if err != nil {
cleanup()
return nil, nil, err
}
files = append(files, blob)
tensors = append(tensors, tensorsFromGGUFFile(blob, part.GGML)...)
}
return tensors, cleanup, nil
}
func tensorsFromGGUFFile(file *os.File, f *ggml.GGML) []*ggml.Tensor {
tensors := make([]*ggml.Tensor, 0, len(f.Tensors().Items()))
for _, tensor := range f.Tensors().Items() {
tensors = append(tensors, tensorFromFile(file, f.Tensors().Offset+tensor.Offset, tensor))
}
return tensors
}
func baseModelLayer(layers []*layerGGML) (*layerGGML, error) {
for _, layer := range layers {
if layer.GGML != nil && layer.MediaType == "application/vnd.ollama.image.model" {
return layer, nil
}
}
return nil, fmt.Errorf("no base model was found")
}
func kvFromLayers(baseLayers []*layerGGML) (ofs.Config, error) {
for _, l := range baseLayers {
if l.GGML != nil {
return l.KV(), nil
}
}
return ggml.KV{}, fmt.Errorf("no base model was found")
}
func createModel(r api.CreateRequest, name model.Name, baseLayers []*layerGGML, config *model.ConfigV2, fn func(resp api.ProgressResponse)) (err error) {
var layers []manifest.Layer
for _, layer := range baseLayers {
if layer.GGML != nil {
if layer.rewriteForCreate && layer.GGML.Name() == "gguf" && len(layer.splitParts) > 0 && layerHasEmbeddedCompatibilityTensors(layer) {
var err error
layer, err = copySplitLayerPreservingTensors(layer)
if err != nil {
return err
}
}
quantType := ""
if layer.MediaType == "application/vnd.ollama.image.model" {
quantType = strings.ToUpper(cmp.Or(r.Quantize, r.Quantization))
} else if layer.MediaType == manifest.MediaTypeImageDraft {
quantType = strings.ToUpper(r.DraftQuantize)
}
ft := layer.GGML.KV().FileType()
rewroteLayer := false
if quantType == "" && hasSourceFP8Tensors(layer.GGML.KV()) && layer.GGML.Name() == "gguf" && layer.MediaType == "application/vnd.ollama.image.model" && slices.Contains([]string{"F16", "BF16", "F32"}, ft.String()) {
quantType = "Q8_0"
}
if quantType != "" && layer.GGML.Name() == "gguf" && slices.Contains([]string{"application/vnd.ollama.image.model", manifest.MediaTypeImageDraft}, layer.MediaType) {
want, err := ggml.ParseFileType(quantType)
if err != nil {
return err
}
if layer.MediaType == manifest.MediaTypeImageDraft && ft.ToTensorType().IsQuantized() {
return fmt.Errorf("draft quantization requires an unquantized draft model, got %s", ft)
} else if !slices.Contains([]string{"F16", "BF16", "F32"}, ft.String()) {
return errors.New("quantization is only supported for F16, BF16 and F32 models")
} else if ft != want {
layer, err = quantizeLayer(layer, quantType, fn)
if err != nil {
return err
}
rewroteLayer = true
}
}
if !rewroteLayer && layer.rewriteForCreate && layer.GGML.Name() == "gguf" && layer.MediaType == "application/vnd.ollama.image.model" && !hasEmbeddedCompatibilityTensors(layer.GGML) {
var err error
layer, err = copyLayerWithLlamaQuantize(layer, fn)
if err != nil {
return err
}
}
if !rewroteLayer && layer.rewriteForCreate && layer.GGML.Name() == "gguf" && layer.MediaType == manifest.MediaTypeImageDraft && len(layer.splitParts) > 0 {
var err error
layer, err = copyLayerWithLlamaQuantize(layer, fn)
if err != nil {
return err
}
}
if layer.rewriteForCreate && layer.GGML.Name() == "gguf" && layer.MediaType == "application/vnd.ollama.image.projector" && needsDefaultLlavaProjectorType(layer.GGML) {
var err error
fn(api.ProgressResponse{Status: "updating GGUF projector metadata"})
layer, err = addDefaultLlavaProjectorType(layer)
if err != nil {
return err
}
}
switch layer.MediaType {
case "application/vnd.ollama.image.model":
config.ModelFormat = cmp.Or(config.ModelFormat, layer.GGML.Name())
config.ModelFamily = cmp.Or(config.ModelFamily, layer.GGML.KV().Architecture())
config.ModelType = cmp.Or(config.ModelType, format.HumanNumber(layer.GGML.KV().ParameterCount()))
config.FileType = cmp.Or(config.FileType, layer.GGML.KV().FileType().String())
config.ModelFamilies = append(config.ModelFamilies, layer.GGML.KV().Architecture())
// Auto-detect renderer, parser, and stop tokens from GGUF architecture.
// TODO: abstract this into a registry/lookup table when multiple models
// need architecture-based renderer/parser/stop defaults.
if config.Renderer == "" || config.Parser == "" {
arch := layer.GGML.KV().Architecture()
switch arch {
case "gemma4":
config.Renderer = cmp.Or(config.Renderer, gemma4RendererLegacy)
config.Parser = cmp.Or(config.Parser, "gemma4")
if _, ok := r.Parameters["stop"]; !ok {
if r.Parameters == nil {
r.Parameters = make(map[string]any)
}
r.Parameters["stop"] = []string{"<turn|>"}
}
case "laguna":
config.Renderer = cmp.Or(config.Renderer, "laguna")
config.Parser = cmp.Or(config.Parser, "laguna")
case "nemotron_h", "nemotron_h_moe", "nemotron_h_omni":
config.Renderer = cmp.Or(config.Renderer, "nemotron-3-nano")
config.Parser = cmp.Or(config.Parser, "nemotron-3-nano")
}
}
case manifest.MediaTypeImageDraft:
config.Draft = &model.Draft{
ModelFormat: layer.GGML.Name(),
Architecture: layer.GGML.KV().Architecture(),
}
}
}
layers = append(layers, layer.Layer)
}
if r.Template != "" {
layers, err = setTemplate(layers, r.Template)
if err != nil {
return err
}
}
if r.System != "" {
layers, err = setSystem(layers, r.System)
if err != nil {
return err
}
}
if r.License != nil {
switch l := r.License.(type) {
case string:
if l != "" {
layers, err = setLicense(layers, l)
if err != nil {
return err
}
}
case any:
var licenses []string
b, _ := json.Marshal(l) // re-marshal to JSON
if err := json.Unmarshal(b, &licenses); err != nil {
return err
}
for _, v := range licenses {
layers, err = setLicense(layers, v)
if err != nil {
return err
}
}
default:
return fmt.Errorf("unknown license type: %T", l)
}
}
layers, err = setParameters(layers, r.Parameters)
if err != nil {
return err
}
layers, err = setMessages(layers, r.Messages)
if err != nil {
return err
}
configLayer, err := createConfigLayer(layers, *config)
if err != nil {
return err
}
for _, layer := range layers {
if layer.Status != "" {
fn(api.ProgressResponse{Status: layer.Status})
}
}
fn(api.ProgressResponse{Status: "writing manifest"})
if err := manifest.WriteManifest(name, *configLayer, layers); err != nil {
return err
}
return nil
}
func hasSourceFP8Tensors(kv ggml.KV) bool {
return kv.String("source_quantization") == "hf_fp8" && len(kv.Strings("source_fp8_tensors")) > 0
}
func hasEmbeddedCompatibilityTensors(f *ggml.GGML) bool {
for _, t := range f.Tensors().Items() {
if isEmbeddedCompatibilityTensor(t.Name) {
return true
}
}
return false
}
func layerHasEmbeddedCompatibilityTensors(layer *layerGGML) bool {
if hasEmbeddedCompatibilityTensors(layer.GGML) {
return true
}
for _, part := range layer.splitParts {
if part.GGML != nil && hasEmbeddedCompatibilityTensors(part.GGML) {
return true
}
}
return false
}
func isEmbeddedCompatibilityTensor(name string) bool {
for _, prefix := range []string{"a.", "mm.", "mtp.", "s.", "v."} {
if strings.HasPrefix(name, prefix) {
return true
}
}
return false
}
func quantizeLayer(layer *layerGGML, quantizeType string, fn func(resp api.ProgressResponse)) (*layerGGML, error) {
ftype, err := ggml.ParseFileType(quantizeType)
if err != nil {
return nil, err
}
return rewriteLayerWithLlamaQuantize(layer, quantizeType, fn, func(in, out *os.File, progressFn func(uint64)) error {
return quantize(in, out, layer.GGML, ftype, progressFn)
})
}
func copyLayerWithLlamaQuantize(layer *layerGGML, fn func(resp api.ProgressResponse)) (*layerGGML, error) {
newLayer, err := rewriteLayerWithLlamaQuantize(layer, "COPY", fn, func(in, out *os.File, progressFn func(uint64)) error {
return copyGGUFWithLlamaQuantize(in, out, layer.GGML, progressFn)
})
if err != nil {
return nil, fmt.Errorf("failed to validate GGUF with llama-quantize without compatibility patches: %w", err)
}
return newLayer, nil
}
func copySplitLayerPreservingTensors(layer *layerGGML) (*layerGGML, error) {
blob, err := manifest.BlobsPath(layer.Digest)
if err != nil {
return nil, err
}
tensors, cleanup, err := baseLayerTensors(layer)
if err != nil {
return nil, err
}
defer cleanup()
kv := maps.Clone(layer.GGML.KV())
removeSplitMetadata(kv, layer.GGML.KV().Architecture())
temp, err := os.CreateTemp(filepath.Dir(blob), "split-copy")
if err != nil {
return nil, err
}
defer os.Remove(temp.Name())
defer temp.Close()
if err := ggml.WriteGGUF(temp, kv, tensors); err != nil {
return nil, err
}
if _, err := temp.Seek(0, io.SeekStart); err != nil {
return nil, err
}
newLayer, err := manifest.NewLayer(temp, layer.MediaType)
if err != nil {
return nil, err
}
if _, err := temp.Seek(0, io.SeekStart); err != nil {
return nil, err
}
f, err := ggml.Decode(temp, 1024)
if err != nil {
return nil, err
}
return &layerGGML{Layer: newLayer, GGML: f}, nil
}
func removeSplitMetadata(kv ggml.KV, arch string) {
for _, key := range []string{
"split.no",
"split.count",
"split.tensors.count",
} {
delete(kv, key)
delete(kv, arch+"."+key)
}
}
func rewriteLayerWithLlamaQuantize(layer *layerGGML, typeName string, fn func(resp api.ProgressResponse), rewrite func(in, out *os.File, progressFn func(uint64)) error) (*layerGGML, error) {
ft := layer.GGML.KV().FileType()
var doneBytes atomic.Uint64
totalBytes := uint64(layer.Size) - layer.GGML.Tensors().Offset
fnWrap := func(n uint64) {
done := doneBytes.Add(n)
progress := float32(done) / float32(totalBytes)
status := fmt.Sprintf("quantizing %s model to %s", ft, typeName)
if typeName == "COPY" {
status = "validating GGUF model"
}
fn(api.ProgressResponse{Status: status, Digest: "0000000000000000000", Total: layer.Size, Completed: int64(progress * float32(layer.Size))})
}
blob, err := manifest.BlobsPath(layer.Digest)
if err != nil {
return nil, err
}
fp, err := os.Open(blob)
if err != nil {
return nil, err
}
defer fp.Close()
in := fp
if len(layer.splitParts) > 0 {
splitInput, cleanup, err := prepareSplitGGUFInput(layer, filepath.Dir(blob))
if err != nil {
return nil, err
}
defer cleanup()
defer splitInput.Close()
in = splitInput
}
temp, err := os.CreateTemp(filepath.Dir(blob), typeName)
if err != nil {
return nil, err
}
defer os.Remove(temp.Name())
defer temp.Close()
if err := rewrite(in, temp, fnWrap); err != nil {
return nil, err
}
if _, err := temp.Seek(0, io.SeekStart); err != nil {
return nil, err
}
fn(api.ProgressResponse{Status: "verifying conversion"})
newLayer, err := manifest.NewLayer(temp, layer.MediaType)
if err != nil {
return nil, err
}
if _, err := temp.Seek(0, io.SeekStart); err != nil {
return nil, err
}
f, err := ggml.Decode(temp, 1024)
if err != nil {
slog.Error(fmt.Sprintf("error decoding ggml: %s\n", err))
return nil, err
}
return &layerGGML{Layer: newLayer, GGML: f}, nil
}
func prepareSplitGGUFInput(layer *layerGGML, dir string) (*os.File, func(), error) {
tempDir, err := os.MkdirTemp(dir, "split-gguf-")
if err != nil {
return nil, nil, err
}
cleanup := func() {
if err := os.RemoveAll(tempDir); err != nil {
slog.Warn("failed to remove temporary split GGUF links", "dir", tempDir, "error", err)
}
}
var firstPath string
for i, part := range layer.splitParts {
blobPath, err := manifest.BlobsPath(part.Digest)
if err != nil {
cleanup()
return nil, nil, err
}
linkPath := filepath.Join(tempDir, path.Base(part.Name))
if err := os.Link(blobPath, linkPath); err != nil {
cleanup()
return nil, nil, err
}
if i == 0 {
firstPath = linkPath
}
}
f, err := os.Open(firstPath)
if err != nil {
cleanup()
return nil, nil, err
}
return f, cleanup, nil
}
var splitGGUFNameRe = regexp.MustCompile(`^(.*)-(\d{5})-of-(\d{5})\.gguf$`)
func splitGGUFName(name string) (prefix string, index, count uint16, ok bool) {
matches := splitGGUFNameRe.FindStringSubmatch(path.Base(name))
if len(matches) != 4 {
return "", 0, 0, false
}
idx, err := strconv.ParseUint(matches[2], 10, 16)
if err != nil || idx == 0 {
return "", 0, 0, false
}
n, err := strconv.ParseUint(matches[3], 10, 16)
if err != nil || n == 0 {
return "", 0, 0, false
}
return matches[1], uint16(idx - 1), uint16(n), true
}
func splitGGUFGroupKey(layer *layerGGML) (string, bool, error) {
count, ok := splitGGUFUint(layer.GGML.KV(), "split.count")
if !ok {
return "", false, nil
}
if count <= 1 {
return "", false, nil
}
prefix, index, nameCount, ok := splitGGUFName(layer.From)
if !ok {
return "", false, fmt.Errorf("split GGUF %q must use llama.cpp split filename pattern", layer.From)
}
if nameCount != count {
return "", false, fmt.Errorf("split GGUF %q filename count %d does not match metadata count %d", layer.From, nameCount, count)
}
splitNo, ok := splitGGUFUint(layer.GGML.KV(), "split.no")
if !ok {
return "", false, fmt.Errorf("split GGUF %q is missing split.no metadata", layer.From)
}
if splitNo != index {
return "", false, fmt.Errorf("split GGUF %q filename index %d does not match metadata index %d", layer.From, index, splitNo)
}
return fmt.Sprintf("%s:%s:%d", layer.MediaType, prefix, count), true, nil
}
func mergeSplitGGUFLayers(layers []*layerGGML) (*layerGGML, error) {
if len(layers) == 0 {
return nil, fmt.Errorf("empty split GGUF group")
}
count, ok := splitGGUFUint(layers[0].GGML.KV(), "split.count")
if !ok {
return nil, fmt.Errorf("split GGUF %q is missing split.count metadata", layers[0].From)
}
if int(count) != len(layers) {
return nil, fmt.Errorf("split GGUF %q has %d shards, expected %d", layers[0].From, len(layers), count)
}
byIndex := make([]*layerGGML, count)
for _, layer := range layers {
index, ok := splitGGUFUint(layer.GGML.KV(), "split.no")
if !ok {
return nil, fmt.Errorf("split GGUF %q is missing split.no metadata", layer.From)
}
if index >= count {
return nil, fmt.Errorf("split GGUF %q has invalid shard index %d", layer.From, index)
}
if byIndex[index] != nil {
return nil, fmt.Errorf("split GGUF has duplicate shard index %d", index)
}
byIndex[index] = layer
}
primary := byIndex[0]
if primary == nil {
return nil, fmt.Errorf("split GGUF is missing first shard")
}
primary.splitParts = make([]splitGGUFPart, 0, count)
for i, layer := range byIndex {
if layer == nil {
return nil, fmt.Errorf("split GGUF %q is missing shard %d", primary.From, i)
}
primary.splitParts = append(primary.splitParts, splitGGUFPart{Digest: layer.Digest, Name: layer.From, GGML: layer.GGML})
}
return primary, nil
}
func splitGGUFUint(kv ggml.KV, key string) (uint16, bool) {
keys := []string{key}
if !strings.HasPrefix(key, "tokenizer.") && !strings.HasPrefix(key, "general.") {
keys = append(keys, kv.Architecture()+"."+key)
}
for _, k := range keys {
switch v := kv.Value(k).(type) {
case uint16:
return v, true
case uint32:
if v <= uint32(^uint16(0)) {
return uint16(v), true
}
case uint64:
if v <= uint64(^uint16(0)) {
return uint16(v), true
}
case int32:
if v >= 0 && v <= int32(^uint16(0)) {
return uint16(v), true
}
case int64:
if v >= 0 && v <= int64(^uint16(0)) {
return uint16(v), true
}
}
}
return 0, false
}
func ggufLayers(digest, sourceName string, fn func(resp api.ProgressResponse)) ([]*layerGGML, error) {
return ggufLayersWithMediaType(digest, sourceName, "", fn)
}
func ggufLayersWithMediaType(digest, sourceName, mediaType string, fn func(resp api.ProgressResponse)) ([]*layerGGML, error) {
var layers []*layerGGML
fn(api.ProgressResponse{Status: "parsing GGUF"})
blobPath, err := manifest.BlobsPath(digest)
if err != nil {
return nil, err
}
blob, err := os.Open(blobPath)
if err != nil {
return nil, err
}
defer blob.Close()
sr := io.NewSectionReader(blob, 0, 512)
contentType, err := detectContentType(sr)
if err != nil {
return nil, err
}
if contentType != "gguf" {
slog.Error(fmt.Sprintf("unsupported content type: %s", contentType))
return nil, errOnlyGGUFSupported
}
f, err := ggml.Decode(blob, -1)
if err != nil {
return nil, err
}
if mediaType == "" {
mediaType = "application/vnd.ollama.image.model"
if f.KV().Kind() == "adapter" {
mediaType = "application/vnd.ollama.image.adapter"
} else if (f.KV().Uint("block_count") == 0 && f.KV().Uint("vision.block_count") > 0) || f.KV().Kind() == "projector" {
// if a model has vision.block_count but not block_count, it is a standalone vision model
mediaType = "application/vnd.ollama.image.projector"
}
}
layer, err := manifest.NewLayerFromLayer(digest, mediaType, sourceName)
if err != nil {
slog.Debug("could not create new layer from layer", "error", err)
return nil, err
}
layers = append(layers, &layerGGML{Layer: layer, GGML: f, rewriteForCreate: true})
return layers, nil
}
func removeLayer(layers []manifest.Layer, mediatype string) []manifest.Layer {
return slices.DeleteFunc(layers, func(layer manifest.Layer) bool {
if layer.MediaType != mediatype {
return false
}
if err := layer.Remove(); err != nil {
slog.Warn("couldn't remove blob", "digest", layer.Digest, "error", err)
return true
}
return true
})
}
func setTemplate(layers []manifest.Layer, t string) ([]manifest.Layer, error) {
layers = removeLayer(layers, "application/vnd.ollama.image.template")
if _, err := template.Parse(t); err != nil {
return nil, fmt.Errorf("%w: %s", errBadTemplate, err)
}
blob := strings.NewReader(t)
layer, err := manifest.NewLayer(blob, "application/vnd.ollama.image.template")
if err != nil {
return nil, err
}
layers = append(layers, layer)
return layers, nil
}
func setSystem(layers []manifest.Layer, s string) ([]manifest.Layer, error) {
layers = removeLayer(layers, "application/vnd.ollama.image.system")
if s != "" {
blob := strings.NewReader(s)
layer, err := manifest.NewLayer(blob, "application/vnd.ollama.image.system")
if err != nil {
return nil, err
}
layers = append(layers, layer)
}
return layers, nil
}
func setLicense(layers []manifest.Layer, l string) ([]manifest.Layer, error) {
blob := strings.NewReader(l)
layer, err := manifest.NewLayer(blob, "application/vnd.ollama.image.license")
if err != nil {
return nil, err
}
layers = append(layers, layer)
return layers, nil
}
func setParameters(layers []manifest.Layer, p map[string]any) ([]manifest.Layer, error) {
if p == nil {
p = make(map[string]any)
}
for _, layer := range layers {
if layer.MediaType != "application/vnd.ollama.image.params" {
continue
}
digestPath, err := manifest.BlobsPath(layer.Digest)
if err != nil {
return nil, err
}
fn, err := os.Open(digestPath)
if err != nil {
return nil, err
}
defer fn.Close()
var existing map[string]any
if err := json.NewDecoder(fn).Decode(&existing); err != nil {
return nil, err
}
for k, v := range existing {
if _, exists := p[k]; exists {
continue
}
p[k] = v
}
}
if len(p) == 0 {
return layers, nil
}
layers = removeLayer(layers, "application/vnd.ollama.image.params")
var b bytes.Buffer
if err := json.NewEncoder(&b).Encode(p); err != nil {
return nil, err
}
layer, err := manifest.NewLayer(&b, "application/vnd.ollama.image.params")
if err != nil {
return nil, err
}
layers = append(layers, layer)
return layers, nil
}
func setMessages(layers []manifest.Layer, m []api.Message) ([]manifest.Layer, error) {
// this leaves the old messages intact if no new messages were specified
// which may not be the correct behaviour
if len(m) == 0 {
return layers, nil
}
fmt.Printf("removing old messages\n")
layers = removeLayer(layers, "application/vnd.ollama.image.messages")
var b bytes.Buffer
if err := json.NewEncoder(&b).Encode(m); err != nil {
return nil, err
}
layer, err := manifest.NewLayer(&b, "application/vnd.ollama.image.messages")
if err != nil {
return nil, err
}
layers = append(layers, layer)
return layers, nil
}
func createConfigLayer(layers []manifest.Layer, config model.ConfigV2) (*manifest.Layer, error) {
digests := make([]string, len(layers))
for i, layer := range layers {
digests[i] = layer.Digest
}
config.RootFS.DiffIDs = digests
var b bytes.Buffer
if err := json.NewEncoder(&b).Encode(config); err != nil {
return nil, err
}
layer, err := manifest.NewLayer(&b, "application/vnd.docker.container.image.v1+json")
if err != nil {
return nil, err
}
return &layer, nil
}
func createLink(src, dst string) error {
// make any subdirs for dst
if err := os.MkdirAll(filepath.Dir(dst), 0o755); err != nil {
return err
}
_ = os.Remove(dst)
if err := os.Symlink(src, dst); err != nil {
if err := copyFile(src, dst); err != nil {
return err
}
}
return nil
}
func copyFile(src, dst string) error {
srcFile, err := os.Open(src)
if err != nil {
return err
}
defer srcFile.Close()
dstFile, err := os.Create(dst)
if err != nil {
return err
}
defer dstFile.Close()
_, err = io.Copy(dstFile, srcFile)
return err
}