package server import ( "archive/zip" "bytes" "context" "encoding/json" "errors" "fmt" "io" "log/slog" "net/http" "os" "path/filepath" "slices" "strings" "text/template/parse" "github.com/ollama/ollama/api" "github.com/ollama/ollama/convert" "github.com/ollama/ollama/llm" "github.com/ollama/ollama/template" "github.com/ollama/ollama/types/model" ) var intermediateBlobs map[string]string = make(map[string]string) type layerGGML struct { Layer *llm.GGML } func parseFromModel(ctx context.Context, name model.Name, fn func(api.ProgressResponse)) (layers []*layerGGML, err error) { m, err := ParseNamedManifest(name) switch { case errors.Is(err, os.ErrNotExist): if err := PullModel(ctx, name.String(), ®istryOptions{}, fn); err != nil { return nil, err } m, err = ParseNamedManifest(name) if err != nil { return nil, err } case err != nil: return nil, err } for _, layer := range m.Layers { layer, err := NewLayerFromLayer(layer.Digest, layer.MediaType, name.DisplayShortest()) if err != nil { return nil, err } switch layer.MediaType { case "application/vnd.ollama.image.model", "application/vnd.ollama.image.projector", "application/vnd.ollama.image.adapter": blobpath, err := GetBlobsPath(layer.Digest) if err != nil { return nil, err } blob, err := os.Open(blobpath) if err != nil { return nil, err } defer blob.Close() ggml, _, err := llm.DecodeGGML(blob, 0) if err != nil { return nil, err } layers = append(layers, &layerGGML{layer, ggml}) default: layers = append(layers, &layerGGML{layer, nil}) } } return layers, nil } func parseFromZipFile(_ context.Context, command string, baseLayers []*layerGGML, f *os.File, digest string, fn func(api.ProgressResponse)) (layers []*layerGGML, err error) { fi, err := f.Stat() if err != nil { return nil, err } r, err := zip.NewReader(f, fi.Size()) if err != nil { return nil, err } p, err := os.MkdirTemp(filepath.Dir(f.Name()), "") if err != nil { return nil, err } defer os.RemoveAll(p) fn(api.ProgressResponse{Status: "converting model"}) // TODO(mxyng): this should write directly into a layer // e.g. NewLayer(arch.Reader(), "application/vnd.ollama.image.model") t, err := os.CreateTemp(p, "fp16") if err != nil { return nil, err } defer t.Close() defer os.Remove(t.Name()) var layerType string switch command { case "adapter": var baseModel *llm.GGML for _, l := range baseLayers { if l.GGML != nil { baseModel = l.GGML break } } if baseModel == nil { return nil, fmt.Errorf("no base model specified for the adapter") } if err := convert.ConvertAdapter(convert.NewZipReader(r, p, 32<<20), t, baseModel.KV()); err != nil { return nil, err } layerType = "application/vnd.ollama.image.adapter" case "model": if err := convert.ConvertModel(convert.NewZipReader(r, p, 32<<20), t); err != nil { return nil, err } layerType = "application/vnd.ollama.image.model" } if _, err := t.Seek(0, io.SeekStart); err != nil { return nil, err } layer, err := NewLayer(t, layerType) if err != nil { return nil, err } bin, err := layer.Open() if err != nil { return nil, err } defer bin.Close() ggml, _, err := llm.DecodeGGML(bin, 0) if err != nil { return nil, err } layers = append(layers, &layerGGML{layer, ggml}) intermediateBlobs[digest] = layer.Digest return detectChatTemplate(layers) } func parseFromFile(ctx context.Context, command string, baseLayers []*layerGGML, file *os.File, digest string, fn func(api.ProgressResponse)) (layers []*layerGGML, err error) { sr := io.NewSectionReader(file, 0, 512) contentType, err := detectContentType(sr) if err != nil { return nil, err } switch contentType { case "gguf", "ggla": // noop case "application/zip": return parseFromZipFile(ctx, command, baseLayers, file, digest, fn) default: return nil, fmt.Errorf("unsupported content type: %s", contentType) } stat, err := file.Stat() if err != nil { return nil, err } var offset int64 for offset < stat.Size() { ggml, n, err := llm.DecodeGGML(file, 0) if errors.Is(err, io.EOF) { break } else if err != nil { return nil, err } mediatype := "application/vnd.ollama.image.model" if ggml.Name() == "ggla" || ggml.KV().Kind() == "adapter" { mediatype = "application/vnd.ollama.image.adapter" } else if ggml.KV().Architecture() == "clip" { mediatype = "application/vnd.ollama.image.projector" } var layer Layer if digest != "" && n == stat.Size() && offset == 0 { layer, err = NewLayerFromLayer(digest, mediatype, file.Name()) if err != nil { slog.Debug("could not create new layer from layer", "error", err) } } // Fallback to creating layer from file copy (either NewLayerFromLayer failed, or digest empty/n != stat.Size()) if layer.Digest == "" { layer, err = NewLayer(io.NewSectionReader(file, offset, n), mediatype) if err != nil { return nil, err } } layers = append(layers, &layerGGML{layer, ggml}) offset = n } return detectChatTemplate(layers) } func detectChatTemplate(layers []*layerGGML) ([]*layerGGML, error) { for _, layer := range layers { if s := layer.GGML.KV().ChatTemplate(); s != "" { if t, err := template.Named(s); err != nil { slog.Debug("template detection", "error", err) } else { layer, err := NewLayer(t.Reader(), "application/vnd.ollama.image.template") if err != nil { return nil, err } layer.status = fmt.Sprintf("using autodetected template %s", t.Name) layers = append(layers, &layerGGML{layer, nil}) if t.Parameters != nil { var b bytes.Buffer if err := json.NewEncoder(&b).Encode(t.Parameters); err != nil { return nil, err } layer, err := NewLayer(&b, "application/vnd.ollama.image.params") if err != nil { return nil, err } layers = append(layers, &layerGGML{layer, nil}) } } } } return layers, nil } func detectContentType(r io.Reader) (string, error) { var b bytes.Buffer if _, err := io.Copy(&b, r); err != nil { return "", err } if contentType := llm.DetectGGMLType(b.Bytes()); contentType != "" { return contentType, nil } if contentType := http.DetectContentType(b.Bytes()); contentType != "application/octet-stream" { return contentType, nil } return "unknown", nil } func parseObjects(s string) []map[string]any { var objs []map[string]any for offset := 0; offset < len(s); { var obj map[string]any decoder := json.NewDecoder(strings.NewReader(s[offset:])) if err := decoder.Decode(&obj); errors.Is(err, io.EOF) || errors.Is(err, io.ErrUnexpectedEOF) { break } else if syntax := &(json.SyntaxError{}); errors.As(err, &syntax) { // skip over any syntax errors offset += int(syntax.Offset) } else if unmarshalType := &(json.UnmarshalTypeError{}); errors.As(err, &unmarshalType) { // skip over any unmarshalable types offset += int(unmarshalType.Offset) } else if err != nil { return nil } else { offset += int(decoder.InputOffset()) objs = append(objs, obj) } } return objs } // parseToolCalls attempts to parse a JSON string into a slice of ToolCalls. // mxyng: this only really works if the input contains tool calls in some JSON format func (m *Model) parseToolCalls(s string) ([]api.ToolCall, bool) { // create a subtree from the node that ranges over .ToolCalls tmpl := m.Template.Subtree(func(n parse.Node) bool { if t, ok := n.(*parse.RangeNode); ok { return slices.Contains(template.Identifiers(t.Pipe), "ToolCalls") } return false }) if tmpl == nil { return nil, false } var b bytes.Buffer if err := tmpl.Execute(&b, map[string][]api.ToolCall{ "ToolCalls": { { Function: api.ToolCallFunction{ Name: "@@name@@", Arguments: api.ToolCallFunctionArguments{ "@@argument@@": 1, }, }, }, }, }); err != nil { return nil, false } templateObjects := parseObjects(b.String()) if len(templateObjects) == 0 { return nil, false } // find the keys that correspond to the name and arguments fields var name, arguments string for k, v := range templateObjects[0] { switch v.(type) { case string: name = k case map[string]any: arguments = k } } if name == "" || arguments == "" { return nil, false } responseObjects := parseObjects(s) if len(responseObjects) == 0 { return nil, false } // collect all nested objects var collect func(any) []map[string]any collect = func(obj any) (all []map[string]any) { switch o := obj.(type) { case map[string]any: all = append(all, o) for _, v := range o { all = append(all, collect(v)...) } case []any: for _, v := range o { all = append(all, collect(v)...) } } return all } var objs []map[string]any for _, p := range responseObjects { objs = append(objs, collect(p)...) } var toolCalls []api.ToolCall for _, kv := range objs { n, nok := kv[name].(string) a, aok := kv[arguments].(map[string]any) if nok && aok { toolCalls = append(toolCalls, api.ToolCall{ Function: api.ToolCallFunction{ Name: n, Arguments: a, }, }) } } return toolCalls, len(toolCalls) > 0 }