Files
ollama/cmd/launch/models.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

583 lines
18 KiB
Go

package launch
import (
"context"
"errors"
"fmt"
"math"
"net/http"
"os"
"os/exec"
"runtime"
"slices"
"strings"
"sync"
"time"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/cmd/config"
"github.com/ollama/ollama/format"
internalcloud "github.com/ollama/ollama/internal/cloud"
"github.com/ollama/ollama/internal/modelref"
"github.com/ollama/ollama/progress"
)
var recommendedModels = []ModelItem{
{Name: "kimi-k2.6:cloud", Description: "State-of-the-art coding, long-horizon execution, and multimodal agent swarm capability", Recommended: true, Details: api.ModelDetails{ContextLength: 262_144}, MaxOutputTokens: 262_144},
{Name: "qwen3.5:cloud", Description: "Reasoning, coding, and agentic tool use with vision", Recommended: true, Details: api.ModelDetails{ContextLength: 262_144}, MaxOutputTokens: 32_768},
{Name: "glm-5.1:cloud", Description: "Reasoning and code generation", Recommended: true, Details: api.ModelDetails{ContextLength: 202_752}, MaxOutputTokens: 131_072},
{Name: "minimax-m2.7:cloud", Description: "Fast, efficient coding and real-world productivity", Recommended: true, Details: api.ModelDetails{ContextLength: 204_800}, MaxOutputTokens: 128_000},
{Name: "gemma4", Description: "Reasoning and code generation locally", Recommended: true, VRAMBytes: 12 * format.GigaByte},
{Name: "qwen3.5", Description: "Reasoning, coding, and visual understanding locally", Recommended: true, VRAMBytes: 14 * format.GigaByte},
}
func displayVRAM(vramBytes int64) string {
if vramBytes <= 0 {
return ""
}
gb := float64(vramBytes) / format.GigaByte
if gb == math.Trunc(gb) {
return fmt.Sprintf("~%.0fGB", gb)
}
return fmt.Sprintf("~%.1fGB", gb)
}
// cloudModelLimit holds context and output token limits for a cloud model.
type cloudModelLimit struct {
Context int
Output int
}
// extraCloudModelLimits maps cloud model base names to token limits for models
// that are not already covered by recommendedModels fallback entries.
// TODO(parthsareen): grab context/output limits from model info instead of hardcoding
var extraCloudModelLimits = 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},
"gemma4:31b": {Context: 262_144, Output: 131_072},
"glm-4.6": {Context: 202_752, Output: 131_072},
"glm-4.7": {Context: 202_752, Output: 131_072},
"glm-5": {Context: 202_752, Output: 131_072},
"glm-5.1": {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-k2.6": {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-coder-next": {Context: 262_144, Output: 32_768},
"qwen3-next:80b": {Context: 262_144, Output: 32_768},
"qwen3.5": {Context: 262_144, Output: 32_768},
}
var cloudModelLimits = mergeCloudModelLimits(cloudModelLimitsFromRecommendations(recommendedModels), extraCloudModelLimits)
var (
dynamicCloudModelLimitsMu sync.RWMutex
dynamicCloudModelLimits = map[string]cloudModelLimit{}
)
// lookupCloudModelLimit returns the token limits for a cloud model.
// It normalizes explicit cloud source suffixes before checking the shared limit map.
func lookupCloudModelLimit(name string) (cloudModelLimit, bool) {
base, stripped := modelref.StripCloudSourceTag(name)
if stripped {
dynamicCloudModelLimitsMu.RLock()
l, ok := dynamicCloudModelLimits[base]
dynamicCloudModelLimitsMu.RUnlock()
if ok {
return l, true
}
if l, ok := cloudModelLimits[base]; ok {
return l, true
}
}
return cloudModelLimit{}, false
}
func setDynamicCloudModelLimits(limits map[string]cloudModelLimit) {
dynamicCloudModelLimitsMu.Lock()
defer dynamicCloudModelLimitsMu.Unlock()
if limits == nil {
dynamicCloudModelLimits = map[string]cloudModelLimit{}
return
}
cp := make(map[string]cloudModelLimit, len(limits))
for k, v := range limits {
cp[k] = v
}
dynamicCloudModelLimits = cp
}
func cloudModelLimitsFromRecommendations(recommendations []ModelItem) map[string]cloudModelLimit {
limits := make(map[string]cloudModelLimit, len(recommendations))
for _, rec := range recommendations {
if !isCloudModelName(rec.Name) || rec.Details.ContextLength <= 0 || rec.MaxOutputTokens <= 0 {
continue
}
base, stripped := modelref.StripCloudSourceTag(rec.Name)
if !stripped || base == "" {
continue
}
limits[base] = cloudModelLimit{
Context: rec.Details.ContextLength,
Output: rec.MaxOutputTokens,
}
}
return limits
}
func mergeCloudModelLimits(base map[string]cloudModelLimit, overlay map[string]cloudModelLimit) map[string]cloudModelLimit {
out := make(map[string]cloudModelLimit, len(base)+len(overlay))
for name, limit := range base {
out[name] = limit
}
for name, limit := range overlay {
out[name] = limit
}
return out
}
// missingModelPolicy controls how model-not-found errors should be handled.
type missingModelPolicy int
const (
// missingModelPromptPull prompts the user to download missing local models.
missingModelPromptPull missingModelPolicy = iota
// missingModelAutoPull downloads missing local models without prompting.
missingModelAutoPull
// missingModelFail returns an error for missing local models without prompting.
missingModelFail
)
// OpenBrowser opens the URL in the user's browser.
func OpenBrowser(url string) {
switch runtime.GOOS {
case "darwin":
_ = exec.Command("open", url).Start()
case "linux":
// Skip on headless systems where no display server is available
if os.Getenv("DISPLAY") == "" && os.Getenv("WAYLAND_DISPLAY") == "" {
return
}
_ = exec.Command("xdg-open", url).Start()
case "windows":
_ = exec.Command("rundll32", "url.dll,FileProtocolHandler", url).Start()
}
}
// ensureAuth ensures the user is signed in before cloud-backed models run.
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 {
return nil
}
return ensureCloudAuth(ctx, client, strings.Join(selectedCloudModels, ", "))
}
func ensureCloudAuth(ctx context.Context, client *api.Client, modelList string) error {
if disabled, known := cloudStatusDisabled(ctx, client); known && disabled {
return errors.New(internalcloud.DisabledError("remote inference is unavailable"))
}
user, err := whoamiWithTimeout(ctx, client)
if err == nil && user != nil && user.Name != "" {
return nil
}
var aErr api.AuthorizationError
if !errors.As(err, &aErr) || aErr.SigninURL == "" {
if err != nil {
return err
}
return fmt.Errorf("%s requires sign in", modelList)
}
if DefaultSignIn != nil {
_, err := DefaultSignIn(modelList, aErr.SigninURL)
if errors.Is(err, ErrCancelled) {
return ErrCancelled
}
if err != nil {
return fmt.Errorf("%s requires sign in", modelList)
}
return nil
}
yes, err := ConfirmPrompt(fmt.Sprintf("sign in to use %s?", modelList))
if errors.Is(err, ErrCancelled) {
return ErrCancelled
}
if err != nil {
return err
}
if !yes {
return ErrCancelled
}
fmt.Fprintf(os.Stderr, "\nTo sign in, navigate to:\n %s\n\n", aErr.SigninURL)
OpenBrowser(aErr.SigninURL)
spinnerFrames := []string{"|", "/", "-", "\\"}
frame := 0
fmt.Fprintf(os.Stderr, "\033[90mwaiting for sign in to complete... %s\033[0m", spinnerFrames[0])
ticker := time.NewTicker(200 * time.Millisecond)
defer ticker.Stop()
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)])
if frame%10 == 0 {
u, err := whoamiWithTimeout(ctx, client)
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
}
}
}
}
}
// showOrPullWithPolicy checks if a model exists and applies the provided missing-model policy.
func showOrPullWithPolicy(ctx context.Context, client *api.Client, model string, policy missingModelPolicy, isCloudModel bool) error {
if _, err := client.Show(ctx, &api.ShowRequest{Model: model}); err == nil {
return nil
} else {
var statusErr api.StatusError
if !errors.As(err, &statusErr) || statusErr.StatusCode != http.StatusNotFound {
return err
}
}
if isCloudModel {
if disabled, known := cloudStatusDisabled(ctx, client); known && disabled {
return errors.New(internalcloud.DisabledError("remote inference is unavailable"))
}
return fmt.Errorf("model %q not found", model)
}
switch policy {
case missingModelAutoPull:
return pullMissingModel(ctx, client, model)
case missingModelFail:
return fmt.Errorf("model %q not found; run 'ollama pull %s' first, or use --yes to auto-pull", model, model)
default:
return confirmAndPull(ctx, client, model)
}
}
func confirmAndPull(ctx context.Context, client *api.Client, model string) error {
if ok, err := ConfirmPrompt(fmt.Sprintf("Download %s?", model)); err != nil {
return err
} else if !ok {
return errCancelled
}
fmt.Fprintf(os.Stderr, "\n")
return pullMissingModel(ctx, client, model)
}
func pullMissingModel(ctx context.Context, client *api.Client, model string) error {
if err := pullModel(ctx, client, model, false); err != nil {
return fmt.Errorf("failed to pull %s: %w", model, err)
}
return nil
}
// prepareEditorIntegration persists models and applies editor-managed config files.
func prepareEditorIntegration(name string, editor Editor, models []LaunchModel) error {
if err := editor.Edit(models); err != nil {
return fmt.Errorf("setup failed: %w", err)
}
if err := config.SaveIntegration(name, launchModelNames(models)); err != nil {
return fmt.Errorf("failed to save: %w", err)
}
return nil
}
func prepareManagedSingleIntegration(name string, managed ManagedSingleModel, model string, models []LaunchModel) error {
var err error
if withModels, ok := managed.(ManagedModelListConfigurer); ok {
err = withModels.ConfigureWithModels(model, models)
} else {
err = managed.Configure(model)
}
if err != nil {
return fmt.Errorf("setup failed: %w", err)
}
if err := config.SaveIntegration(name, []string{model}); err != nil {
return fmt.Errorf("failed to save: %w", err)
}
return nil
}
func prepareManagedAutodiscoveryIntegration(name string, autodiscovery ManagedAutodiscoveryIntegration, model string) error {
if err := autodiscovery.ConfigureAutodiscovery(); err != nil {
return fmt.Errorf("setup failed: %w", err)
}
if err := config.SaveIntegration(name, []string{model}); err != nil {
return fmt.Errorf("failed to save: %w", err)
}
return nil
}
// buildModelList merges existing models with recommendations for selection UIs.
func buildModelList(existing []modelInfo, preChecked []string, current string) (items []ModelItem, orderedChecked []string, existingModels, cloudModels map[string]bool) {
return buildModelListWithRecommendations(existing, recommendedModels, preChecked, current)
}
func buildModelListWithRecommendations(existing []modelInfo, recommendations []ModelItem, preChecked []string, current string) (items []ModelItem, orderedChecked []string, existingModels, cloudModels map[string]bool) {
existingModels = make(map[string]bool)
cloudModels = make(map[string]bool)
recommended := make(map[string]bool)
var hasLocalModel, hasCloudModel bool
recDesc := make(map[string]string)
recByName := make(map[string]ModelItem)
for _, rec := range recommendations {
recommended[rec.Name] = true
recDesc[rec.Name] = rec.Description
recByName[rec.Name] = rec
}
for _, m := range existing {
existingModels[m.Name] = true
if m.Remote {
cloudModels[m.Name] = true
hasCloudModel = true
} else {
hasLocalModel = true
}
displayName := strings.TrimSuffix(m.Name, ":latest")
existingModels[displayName] = true
if rec, ok := recByName[displayName]; ok {
items = append(items, modelItemFromInventory(displayName, m, copyModelRecommendationFields(displayName, rec)))
} else {
items = append(items, modelItemFromInventory(displayName, m, ModelItem{Name: displayName, Recommended: recommended[displayName], Description: recDesc[displayName]}))
}
}
for _, rec := range recommendations {
if existingModels[rec.Name] || existingModels[rec.Name+":latest"] {
continue
}
items = append(items, rec)
if isCloudModelName(rec.Name) {
cloudModels[rec.Name] = true
}
}
checked := make(map[string]bool, len(preChecked))
for _, n := range preChecked {
checked[n] = true
}
if current != "" {
matchedCurrent := false
for _, item := range items {
if item.Name == current {
current = item.Name
matchedCurrent = true
break
}
}
if !matchedCurrent {
for _, item := range items {
if strings.HasPrefix(item.Name, current+":") {
current = item.Name
break
}
}
}
}
if checked[current] {
preChecked = append([]string{current}, slices.DeleteFunc(preChecked, func(m string) bool { return m == current })...)
}
notInstalled := make(map[string]bool)
for i := range items {
if !existingModels[items[i].Name] && !cloudModels[items[i].Name] {
notInstalled[items[i].Name] = true
var parts []string
if items[i].Description != "" {
parts = append(parts, items[i].Description)
}
if vram := displayVRAM(items[i].VRAMBytes); vram != "" {
parts = append(parts, vram)
}
parts = append(parts, "(not downloaded)")
items[i].Description = strings.Join(parts, ", ")
}
}
recRank := make(map[string]int)
for i, rec := range recommendations {
recRank[rec.Name] = i + 1
}
if hasLocalModel || hasCloudModel {
// Keep the Recommended section pinned to recommendation order. Checked
// and default-model priority only apply within the More section.
slices.SortStableFunc(items, func(a, b ModelItem) int {
ac, bc := checked[a.Name], checked[b.Name]
aNew, bNew := notInstalled[a.Name], notInstalled[b.Name]
aRec, bRec := recRank[a.Name] > 0, recRank[b.Name] > 0
if aRec != bRec {
if aRec {
return -1
}
return 1
}
if aRec && bRec {
return recRank[a.Name] - recRank[b.Name]
}
if ac != bc {
if ac {
return -1
}
return 1
}
// Among checked non-recommended items - put the default first
if ac && !aRec && current != "" {
aCurrent := a.Name == current
bCurrent := b.Name == current
if aCurrent != bCurrent {
if aCurrent {
return -1
}
return 1
}
}
if aNew != bNew {
if aNew {
return 1
}
return -1
}
return strings.Compare(strings.ToLower(a.Name), strings.ToLower(b.Name))
})
}
return items, preChecked, existingModels, cloudModels
}
func copyModelRecommendationFields(name string, rec ModelItem) ModelItem {
rec.Name = name
rec.Recommended = true
return rec
}
func modelItemFromInventory(name string, info modelInfo, item ModelItem) ModelItem {
item.Name = name
item.ToolCapable = info.ToolCapable
item.Capabilities = slices.Clone(info.Capabilities)
item.Size = info.Size
item.Details = info.Details
return item
}
// isCloudModelName reports whether the model name has an explicit cloud source.
func isCloudModelName(name string) bool {
return modelref.HasExplicitCloudSource(name)
}
// filterCloudItems removes cloud models from selection items.
func filterCloudItems(items []ModelItem) []ModelItem {
filtered := items[:0]
for _, item := range items {
if !isCloudModelName(item.Name) {
filtered = append(filtered, item)
}
}
return filtered
}
func isCloudModel(ctx context.Context, client *api.Client, name string) bool {
if client == nil {
return false
}
resp, err := client.Show(ctx, &api.ShowRequest{Model: name})
if err != nil {
return false
}
return resp.RemoteModel != ""
}
// cloudStatusDisabled returns whether cloud usage is currently disabled.
func cloudStatusDisabled(ctx context.Context, client *api.Client) (disabled bool, known bool) {
status, err := client.CloudStatusExperimental(ctx)
if err != nil {
var statusErr api.StatusError
if errors.As(err, &statusErr) && statusErr.StatusCode == http.StatusNotFound {
return false, false
}
return false, false
}
return status.Cloud.Disabled, true
}
// TODO(parthsareen): this duplicates the pull progress UI in cmd.PullHandler.
// Move the shared pull rendering to a small utility once the package boundary settles.
func pullModel(ctx context.Context, client *api.Client, model string, insecure bool) error {
p := progress.NewProgress(os.Stderr)
defer p.Stop()
bars := make(map[string]*progress.Bar)
var status string
var spinner *progress.Spinner
fn := func(resp api.ProgressResponse) error {
if resp.Digest != "" {
if resp.Completed == 0 {
return nil
}
if spinner != nil {
spinner.Stop()
}
bar, ok := bars[resp.Digest]
if !ok {
name, isDigest := strings.CutPrefix(resp.Digest, "sha256:")
name = strings.TrimSpace(name)
if isDigest {
name = name[:min(12, len(name))]
}
bar = progress.NewBar(fmt.Sprintf("pulling %s:", name), resp.Total, resp.Completed)
bars[resp.Digest] = bar
p.Add(resp.Digest, bar)
}
bar.Set(resp.Completed)
} else if status != resp.Status {
if spinner != nil {
spinner.Stop()
}
status = resp.Status
spinner = progress.NewSpinner(status)
p.Add(status, spinner)
}
return nil
}
request := api.PullRequest{Name: model, Insecure: insecure}
return client.Pull(ctx, &request, fn)
}