Merge pull request #290 from jmorganca/add-adapter-layers

implement loading ggml lora adapters through the modelfile

docs/modelfile.md

@@ -35,6 +35,7 @@ INSTRUCTION arguments
 | [`PARAMETER`](#parameter)           | Sets the parameters for how Ollama will run the model.        |
 | [`TEMPLATE`](#template)             | The full prompt template to be sent to the model.             |
 | [`SYSTEM`](#system)                 | Specifies the system prompt that will be set in the template. |
+| [`ADAPTER`](#adapter)               | Defines the (Q)LoRA adapters to apply to the model.           |
 | [`LICENSE`](#license)               | Specifies the legal license.                                  |
 
 ## Examples
@@ -150,6 +151,14 @@ The `SYSTEM` instruction specifies the system prompt to be used in the template,
 SYSTEM """<system message>"""
 ```
 
+### ADAPTER
+
+The `ADAPTER` instruction specifies the LoRA adapter to apply to the base model. The value of this instruction should be an absolute path or a path relative to the Modelfile and the file must be in a GGML file format. The adapter should be tuned from the base model otherwise the behaviour is undefined.
+
+```
+ADAPTER ./ollama-lora.bin
+```
+
 ### LICENSE
 
 The `LICENSE` instruction allows you to specify the legal license under which the model used with this Modelfile is shared or distributed.

llm/llama.go

@@ -136,7 +136,7 @@ type llamaHyperparameters struct {
 	FileType
 }
 
-func newLlama(model string, opts api.Options) (*llama, error) {
+func newLlama(model string, adapters []string, opts api.Options) (*llama, error) {
 	if _, err := os.Stat(model); err != nil {
 		return nil, err
 	}
@@ -161,6 +161,12 @@ func newLlama(model string, opts api.Options) (*llama, error) {
 	params.embedding = C.bool(llm.EmbeddingOnly)
 	params.rope_freq_base = C.float(llm.RopeFrequencyBase)
 	params.rope_freq_scale = C.float(llm.RopeFrequencyScale)
+
+	if len(adapters) > 0 && llm.UseMMap {
+		log.Printf("must disable mmap to use lora adapters")
+		params.use_mmap = C.bool(false)
+	}
+
 	llm.params = &params
 
 	cModel := C.CString(model)
@@ -176,6 +182,15 @@ func newLlama(model string, opts api.Options) (*llama, error) {
 		return nil, errors.New("failed to create context")
 	}
 
+	for _, adapter := range adapters {
+		cAdapter := C.CString(adapter)
+		defer C.free(unsafe.Pointer(cAdapter))
+
+		if retval := C.llama_model_apply_lora_from_file(llm.model, cAdapter, nil, C.int(llm.NumThread)); retval != 0 {
+			return nil, fmt.Errorf("failed to load adapter %s", adapter)
+		}
+	}
+
 	// warm up the model
 	bos := []C.llama_token{C.llama_token_bos()}
 	C.llama_eval(llm.ctx, unsafe.SliceData(bos), C.int(len(bos)), 0, C.int(opts.NumThread))

llm/llm.go

@@ -19,7 +19,7 @@ type LLM interface {
 	Close()
 }
 
-func New(model string, opts api.Options) (LLM, error) {
+func New(model string, adapters []string, opts api.Options) (LLM, error) {
 	if _, err := os.Stat(model); err != nil {
 		return nil, err
 	}
@@ -66,7 +66,7 @@ func New(model string, opts api.Options) (LLM, error) {
 
 	switch ggml.ModelFamily {
 	case ModelFamilyLlama:
-		return newLlama(model, opts)
+		return newLlama(model, adapters, opts)
 	default:
 		return nil, fmt.Errorf("unknown ggml type: %s", ggml.ModelFamily)
 	}

parser/parser.go

@@ -40,7 +40,7 @@ func Parse(reader io.Reader) ([]Command, error) {
 			command.Args = string(fields[1])
 			// copy command for validation
 			modelCommand = command
-		case "LICENSE", "TEMPLATE", "SYSTEM", "PROMPT", "EMBED":
+		case "LICENSE", "TEMPLATE", "SYSTEM", "PROMPT", "EMBED", "ADAPTER":
 			command.Name = string(bytes.ToLower(fields[0]))
 			command.Args = string(fields[1])
 		case "PARAMETER":

server/images.go

@@ -34,6 +34,7 @@ type RegistryOptions struct {
 type Model struct {
 	Name         string `json:"name"`
 	ModelPath    string
+	AdapterPaths []string
 	Template     string
 	System       string
 	Digest       string
@@ -179,6 +180,8 @@ func GetModel(name string) (*Model, error) {
 			if err = json.NewDecoder(file).Decode(&model.Embeddings); err != nil {
 				return nil, err
 			}
+		case "application/vnd.ollama.image.adapter":
+			model.AdapterPaths = append(model.AdapterPaths, filename)
 		case "application/vnd.ollama.image.template":
 			bts, err := os.ReadFile(filename)
 			if err != nil {
@@ -331,6 +334,40 @@ func CreateModel(ctx context.Context, name string, path string, fn func(resp api
 				return err
 			}
 			embed.files = append(embed.files, embedFilePath)
+		case "adapter":
+			fn(api.ProgressResponse{Status: fmt.Sprintf("creating model %s layer", c.Name)})
+
+			fp := c.Args
+			if strings.HasPrefix(fp, "~/") {
+				parts := strings.Split(fp, "/")
+				home, err := os.UserHomeDir()
+				if err != nil {
+					return fmt.Errorf("failed to open file: %v", err)
+				}
+
+				fp = filepath.Join(home, filepath.Join(parts[1:]...))
+			}
+
+			// If filePath is not an absolute path, make it relative to the modelfile path
+			if !filepath.IsAbs(fp) {
+				fp = filepath.Join(filepath.Dir(path), fp)
+			}
+
+			// create a model from this specified file
+			fn(api.ProgressResponse{Status: "creating model layer"})
+
+			file, err := os.Open(fp)
+			if err != nil {
+				return fmt.Errorf("failed to open file: %v", err)
+			}
+			defer file.Close()
+
+			l, err := CreateLayer(file)
+			if err != nil {
+				return fmt.Errorf("failed to create layer: %v", err)
+			}
+			l.MediaType = "application/vnd.ollama.image.adapter"
+			layers = append(layers, l)
 		case "license":
 			fn(api.ProgressResponse{Status: fmt.Sprintf("creating model %s layer", c.Name)})
 			mediaType := fmt.Sprintf("application/vnd.ollama.image.%s", c.Name)
@@ -453,7 +490,7 @@ func embeddingLayers(e EmbeddingParams) ([]*LayerReader, error) {
 		}
 
 		e.opts.EmbeddingOnly = true
-		llmModel, err := llm.New(e.model, e.opts)
+		llmModel, err := llm.New(e.model, []string{}, e.opts)
 		if err != nil {
 			return nil, fmt.Errorf("load model to generate embeddings: %v", err)
 		}

server/routes.go

@@ -63,7 +63,7 @@ func load(model *Model, reqOpts map[string]interface{}, sessionDuration time.Dur
 			loaded.Embeddings = model.Embeddings
 		}
 
-		llmModel, err := llm.New(model.ModelPath, opts)
+		llmModel, err := llm.New(model.ModelPath, model.AdapterPaths, opts)
 		if err != nil {
 			return err
 		}