ollama/server/create.go

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package server
import (
"bytes"
"cmp"
"context"
"encoding/json"
"errors"
"fmt"
"io"
"io/fs"
"log/slog"
"net/http"
"os"
"path/filepath"
"slices"
"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"
"github.com/ollama/ollama/fs/ggml"
"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")
)
func (s *Server) CreateHandler(c *gin.Context) {
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
}
for v := range r.Files {
if !fs.ValidPath(v) {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": errFilePath.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, _ := ParseNamedManifest(name)
var baseLayers []*layerGGML
if r.From != "" {
slog.Debug("create model from model name")
fromName := model.ParseName(r.From)
if !fromName.IsValid() {
ch <- gin.H{"error": errtypes.InvalidModelNameErrMsg, "status": http.StatusBadRequest}
return
}
ctx, cancel := context.WithCancel(c.Request.Context())
defer cancel()
baseLayers, err = parseFromModel(ctx, fromName, fn)
if err != nil {
ch <- gin.H{"error": err.Error()}
}
} 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
}
var adapterLayers []*layerGGML
if 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 err := createModel(r, name, baseLayers, 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()}
}
}
ch <- api.ProgressResponse{Status: "success"}
}()
if r.Stream != nil && !*r.Stream {
waitForStream(c, ch)
return
}
streamResponse(c, ch)
}
func convertModelFromFiles(files map[string]string, baseLayers []*layerGGML, isAdapter bool, fn func(resp api.ProgressResponse)) ([]*layerGGML, error) {
switch detectModelTypeFromFiles(files) {
case "safetensors":
layers, err := convertFromSafetensors(files, baseLayers, isAdapter, 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
}
var digest string
var allLayers []*layerGGML
for _, v := range files {
digest = v
layers, err := ggufLayers(digest, fn)
if err != nil {
return nil, err
}
allLayers = append(allLayers, layers...)
}
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 := GetBlobsPath(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, 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 := GetBlobsPath(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 mediaType string
if !isAdapter {
fn(api.ProgressResponse{Status: "converting model"})
mediaType = "application/vnd.ollama.image.model"
if err := convert.ConvertModel(os.DirFS(tmpDir), t); 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 := 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, f}}
if !isAdapter {
return detectChatTemplate(layers)
}
return layers, nil
}
func kvFromLayers(baseLayers []*layerGGML) (ggml.KV, 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, fn func(resp api.ProgressResponse)) (err error) {
config := ConfigV2{
OS: "linux",
Architecture: "amd64",
RootFS: RootFS{
Type: "layers",
},
add qwen3-coder tool support The format qwen3-coder uses is relatively unique, both in rendering and in parsing. To implement parsing, I wrote a custom parser in similar style to harmony. For the rendering, I found that the logic would be much more difficult to follow in a template, so I introduced the concept of a built-in renderer that uses go code, rather than a template to generate prompts. I set us up for future built-in parsers and renderers by making it so they can be specified in a Modelfile like so: ``` RENDERER "qwen3-coder" PARSER "qwen3-coder" ``` These need to be provided explicitly because the architecture alone is not enough to understand what format the model expects to receive, and what format we expect it to output (e.g., qwen3-coder is `qwen3moe`, which includes other qwen3-family models as well) I haven't converted harmony to be one of these "built-ins" yet, since some of it is in flux with the changes @ParthSareen has been making to move harmony to the runner. It is likely that many other built-ins will need to move to the runner as well, but I'm able to slightly defer that decision since qwen3-coder doesn't have thinking (and therefore doesn't need to be in the runner to make structured outputs work). I expect to unify harmony with this approach very soon. Whether a particular model supports tools or thinking was previously inferred from templates, but without a template we now also use the parser itself to declare what it supports. If we have future models that re-use the same parsing format, but have different capabilities, we'll want to parameterize them and give them different names to be specified as a `PARSER`. Misc changes: - I worked on the renderer by diffing outputs from the reference implementation and ours. To make it easier to do this, I extended <https://github.com/ollama/ollama/pull/11875> to also support returning the prompt via the openai compat layer
2025-09-12 04:40:35 +08:00
Renderer: r.Renderer,
Parser: r.Parser,
}
var layers []Layer
for _, layer := range baseLayers {
if layer.GGML != nil {
quantType := strings.ToUpper(cmp.Or(r.Quantize, r.Quantization))
if quantType != "" && layer.GGML.Name() == "gguf" && layer.MediaType == "application/vnd.ollama.image.model" {
want, err := ggml.ParseFileType(quantType)
if err != nil {
return err
}
ft := layer.GGML.KV().FileType()
if !slices.Contains([]string{"F16", "F32"}, ft.String()) {
return errors.New("quantization is only supported for F16 and F32 models")
} else if ft != want {
layer, err = quantizeLayer(layer, quantType, fn)
if err != nil {
return err
}
}
}
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())
}
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 := WriteManifest(name, *configLayer, layers); err != nil {
return err
}
return nil
}
func quantizeLayer(layer *layerGGML, quantizeType string, fn func(resp api.ProgressResponse)) (*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)
fn(api.ProgressResponse{Status: fmt.Sprintf("quantizing %s model to %s", ft, quantizeType), Digest: "0000000000000000000", Total: layer.Size, Completed: int64(progress * float32(layer.Size))})
}
ftype, err := ggml.ParseFileType(quantizeType)
if err != nil {
return nil, err
}
blob, err := GetBlobsPath(layer.Digest)
if err != nil {
return nil, err
}
fp, err := os.Open(blob)
if err != nil {
return nil, err
}
defer fp.Close()
temp, err := os.CreateTemp(filepath.Dir(blob), quantizeType)
if err != nil {
return nil, err
}
defer temp.Close()
defer os.Remove(temp.Name())
if err := quantize(fp, temp, layer.GGML, ftype, fnWrap); err != nil {
return nil, err
}
temp.Seek(0, io.SeekStart)
fn(api.ProgressResponse{Status: "verifying conversion"})
newLayer, err := 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{newLayer, f}, nil
}
func ggufLayers(digest string, fn func(resp api.ProgressResponse)) ([]*layerGGML, error) {
var layers []*layerGGML
fn(api.ProgressResponse{Status: "parsing GGUF"})
blobPath, err := GetBlobsPath(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
}
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 := NewLayerFromLayer(digest, mediatype, blob.Name())
if err != nil {
slog.Debug("could not create new layer from layer", "error", err)
return nil, err
}
layers = append(layers, &layerGGML{layer, f})
return detectChatTemplate(layers)
}
func removeLayer(layers []Layer, mediatype string) []Layer {
return slices.DeleteFunc(layers, func(layer 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 []Layer, t string) ([]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)
}
if _, err := template.Parse(t); err != nil {
return nil, fmt.Errorf("%w: %s", errBadTemplate, err)
}
blob := strings.NewReader(t)
layer, err := NewLayer(blob, "application/vnd.ollama.image.template")
if err != nil {
return nil, err
}
layers = append(layers, layer)
return layers, nil
}
func setSystem(layers []Layer, s string) ([]Layer, error) {
layers = removeLayer(layers, "application/vnd.ollama.image.system")
if s != "" {
blob := strings.NewReader(s)
layer, err := NewLayer(blob, "application/vnd.ollama.image.system")
if err != nil {
return nil, err
}
layers = append(layers, layer)
}
return layers, nil
}
func setLicense(layers []Layer, l string) ([]Layer, error) {
blob := strings.NewReader(l)
layer, err := NewLayer(blob, "application/vnd.ollama.image.license")
if err != nil {
return nil, err
}
layers = append(layers, layer)
return layers, nil
}
func setParameters(layers []Layer, p map[string]any) ([]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 := GetBlobsPath(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 := NewLayer(&b, "application/vnd.ollama.image.params")
if err != nil {
return nil, err
}
layers = append(layers, layer)
return layers, nil
}
func setMessages(layers []Layer, m []api.Message) ([]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 := NewLayer(&b, "application/vnd.ollama.image.messages")
if err != nil {
return nil, err
}
layers = append(layers, layer)
return layers, nil
}
func createConfigLayer(layers []Layer, config ConfigV2) (*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 := 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
}