Add support for cerebras (#45)

Signed-off-by: mudler <mudler@c3os.io>

Makefile

@@ -17,11 +17,12 @@ all: help
 ## Build:
 
 build: prepare ## Build the project
-	C_INCLUDE_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j LIBRARY_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j $(GOCMD) build -o $(BINARY_NAME) ./
+	C_INCLUDE_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2.cpp LIBRARY_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2.cpp $(GOCMD) build -o $(BINARY_NAME) ./
 
 buildgeneric: prepare-generic ## Build the project
-	C_INCLUDE_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j LIBRARY_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j $(GOCMD) build -o $(BINARY_NAME) ./
+	C_INCLUDE_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2.cpp LIBRARY_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2.cpp $(GOCMD) build -o $(BINARY_NAME) ./
 
+## GPT4ALL-J
 go-gpt4all-j:
 	git clone --recurse-submodules https://github.com/go-skynet/go-gpt4all-j.cpp go-gpt4all-j
 # This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
@@ -30,6 +31,9 @@ go-gpt4all-j:
 	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
 	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
 	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gptj_replace/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gptj_replace/g' {} +
 
 go-gpt4all-j/libgptj.a: go-gpt4all-j
 	$(MAKE) -C go-gpt4all-j libgptj.a
@@ -37,6 +41,25 @@ go-gpt4all-j/libgptj.a: go-gpt4all-j
 go-gpt4all-j/libgptj.a-generic: go-gpt4all-j
 	$(MAKE) -C go-gpt4all-j generic-libgptj.a
 
+# CEREBRAS GPT
+go-gpt2.cpp:
+	git clone --recurse-submodules https://github.com/go-skynet/go-gpt2.cpp go-gpt2.cpp
+# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
+	@find ./go-gpt2.cpp -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-gpt2.cpp -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-gpt2.cpp -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-gpt2.cpp -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
+	@find ./go-gpt2.cpp -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
+	@find ./go-gpt2.cpp -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gpt2_replace/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gpt2_replace/g' {} +
+
+go-gpt2.cpp/libgpt2.a: go-gpt2.cpp
+	$(MAKE) -C go-gpt2.cpp libgpt2.a
+
+go-gpt2.cpp/libgpt2.a-generic: go-gpt2.cpp
+	$(MAKE) -C go-gpt2.cpp generic-libgpt2.a
+
 go-llama:
 	git clone -b $(GOLLAMA_VERSION) --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama
 	$(MAKE) -C go-llama libbinding.a
@@ -45,17 +68,19 @@ go-llama-generic:
 	git clone -b $(GOLLAMA_VERSION) --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama
 	$(MAKE) -C go-llama generic-libbinding.a
 
-prepare: go-llama go-gpt4all-j/libgptj.a
+replace:
 	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
 	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt4all-j.cpp=$(shell pwd)/go-gpt4all-j
+	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt2.cpp=$(shell pwd)/go-gpt2.cpp
 
-prepare-generic: go-llama-generic go-gpt4all-j/libgptj.a-generic
+prepare: go-llama go-gpt4all-j/libgptj.a go-gpt2.cpp/libgpt2.a replace
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
+
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt4all-j.cpp=$(shell pwd)/go-gpt4all-j
+prepare-generic: go-llama-generic go-gpt4all-j/libgptj.a-generic go-gpt2.cpp/libgpt2.a-generic replace
 
 clean: ## Remove build related file
 	rm -fr ./go-llama
 	rm -rf ./go-gpt4all-j
+	rm -rf ./go-gpt2.cpp
 	rm -rf $(BINARY_NAME)
 
 ## Run:

README.md

@@ -12,13 +12,12 @@ LocalAI is a straightforward, drop-in replacement API compatible with OpenAI for
 - OpenAI compatible API
 - Supports multiple-models
 - Once loaded the first time, it keep models loaded in memory for faster inference
-- Provides a simple command line interface that allows text generation directly from the terminal
 - Support for prompt templates
 - Doesn't shell-out, but uses C bindings for a faster inference and better performance. Uses [go-llama.cpp](https://github.com/go-skynet/go-llama.cpp) and [go-gpt4all-j.cpp](https://github.com/go-skynet/go-gpt4all-j.cpp).
 
 ## Model compatibility
 
-It is compatible with the models supported by [llama.cpp](https://github.com/ggerganov/llama.cpp) and also [GPT4ALL-J](https://github.com/nomic-ai/gpt4all).
+It is compatible with the models supported by [llama.cpp](https://github.com/ggerganov/llama.cpp) supports also [GPT4ALL-J](https://github.com/nomic-ai/gpt4all) and [cerebras-GPT with ggml](https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP-ggml).
 
 Note: You might need to convert older models to the new format, see [here](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.
 
@@ -97,8 +96,6 @@ And you'll see:
 └───────────────────────────────────────────────────┘ 
 ```
 
-Note: Models have to end up with `.bin` so can be listed by the `/models` endpoint.
-
 You can control the API server options with command line arguments:
 
 ```

api/api.go

@@ -8,6 +8,7 @@ import (
 	"sync"
 
 	model "github.com/go-skynet/LocalAI/pkg/model"
+	gpt2 "github.com/go-skynet/go-gpt2.cpp"
 	gptj "github.com/go-skynet/go-gpt4all-j.cpp"
 	llama "github.com/go-skynet/go-llama.cpp"
 	"github.com/gofiber/fiber/v2"
@@ -73,6 +74,7 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16
 		var err error
 		var model *llama.LLama
 		var gptModel *gptj.GPTJ
+		var gpt2Model *gpt2.GPT2
 
 		input := new(OpenAIRequest)
 		// Get input data from the request body
@@ -97,7 +99,7 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16
 		}
 
 		// Try to load the model with both
-		var llamaerr error
+		var llamaerr, gpt2err, gptjerr error
 		llamaOpts := []llama.ModelOption{}
 		if ctx != 0 {
 			llamaOpts = append(llamaOpts, llama.SetContext(ctx))
@@ -106,11 +108,15 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16
 			llamaOpts = append(llamaOpts, llama.EnableF16Memory)
 		}
 
+		// TODO: this is ugly, better identifying the model somehow! however, it is a good stab for a first implementation..
 		model, llamaerr = loader.LoadLLaMAModel(modelFile, llamaOpts...)
 		if llamaerr != nil {
-			gptModel, err = loader.LoadGPTJModel(modelFile)
+			gptModel, gptjerr = loader.LoadGPTJModel(modelFile)
-			if err != nil {
+			if gptjerr != nil {
-				return fmt.Errorf("llama: %s gpt: %s", llamaerr.Error(), err.Error()) // llama failed first, so we want to catch both errors
+				gpt2Model, gpt2err = loader.LoadGPT2Model(modelFile)
+				if gpt2err != nil {
+					return fmt.Errorf("llama: %s gpt: %s gpt2: %s", llamaerr.Error(), gptjerr.Error(), gpt2err.Error()) // llama failed first, so we want to catch both errors
+				}
 			}
 		}
 
@@ -176,6 +182,30 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16
 
 		var predFunc func() (string, error)
 		switch {
+		case gpt2Model != nil:
+			predFunc = func() (string, error) {
+				// Generate the prediction using the language model
+				predictOptions := []gpt2.PredictOption{
+					gpt2.SetTemperature(temperature),
+					gpt2.SetTopP(topP),
+					gpt2.SetTopK(topK),
+					gpt2.SetTokens(tokens),
+					gpt2.SetThreads(threads),
+				}
+
+				if input.Batch != 0 {
+					predictOptions = append(predictOptions, gpt2.SetBatch(input.Batch))
+				}
+
+				if input.Seed != 0 {
+					predictOptions = append(predictOptions, gpt2.SetSeed(input.Seed))
+				}
+
+				return gpt2Model.Predict(
+					predInput,
+					predictOptions...,
+				)
+			}
 		case gptModel != nil:
 			predFunc = func() (string, error) {
 				// Generate the prediction using the language model

go.mod

@@ -13,6 +13,7 @@ require (
 require (
 	github.com/andybalholm/brotli v1.0.4 // indirect
 	github.com/cpuguy83/go-md2man/v2 v2.0.2 // indirect
+	github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420165404-f15da66b097d // indirect
 	github.com/google/uuid v1.3.0 // indirect
 	github.com/klauspost/compress v1.15.9 // indirect
 	github.com/mattn/go-colorable v0.1.13 // indirect

go.sum

@@ -4,6 +4,10 @@ github.com/coreos/go-systemd/v22 v22.5.0/go.mod h1:Y58oyj3AT4RCenI/lSvhwexgC+NSV
 github.com/cpuguy83/go-md2man/v2 v2.0.2 h1:p1EgwI/C7NhT0JmVkwCD2ZBK8j4aeHQX2pMHHBfMQ6w=
 github.com/cpuguy83/go-md2man/v2 v2.0.2/go.mod h1:tgQtvFlXSQOSOSIRvRPT7W67SCa46tRHOmNcaadrF8o=
 github.com/go-logr/logr v1.2.3 h1:2DntVwHkVopvECVRSlL5PSo9eG+cAkDCuckLubN+rq0=
+github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420164106-516b5871c74d h1:8crcrVuvpRzf6wejPtIFYGmMrSTfW94CYPJZIssT8zo=
+github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420164106-516b5871c74d/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
+github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420165404-f15da66b097d h1:Jabxk0NI5CLbY7PVODkRp1AQbEovS9gM6jGAOwyy5FI=
+github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420165404-f15da66b097d/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
 github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230419091210-303cf2a59a94 h1:rtrrMvlIq+g0/ltXjDdLeNtz0uc4wJ4Qs15GFU4ba4c=
 github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230419091210-303cf2a59a94/go.mod h1:5VZ9XbcINI0XcHhkcX8GPK8TplFGAzu1Hrg4tNiMCtI=
 github.com/go-skynet/go-llama.cpp v0.0.0-20230415213228-bac222030640 h1:8SSVbQ3yvq7JnfLCLF4USV0PkQnnduUkaNCv/hHDa3E=

pkg/model/loader.go

@@ -12,6 +12,7 @@ import (
 
 	"github.com/rs/zerolog/log"
 
+	gpt2 "github.com/go-skynet/go-gpt2.cpp"
 	gptj "github.com/go-skynet/go-gpt4all-j.cpp"
 	llama "github.com/go-skynet/go-llama.cpp"
 )
@@ -19,13 +20,16 @@ import (
 type ModelLoader struct {
 	modelPath string
 	mu        sync.Mutex
+
 	models     map[string]*llama.LLama
 	gptmodels  map[string]*gptj.GPTJ
+	gpt2models map[string]*gpt2.GPT2
+
 	promptsTemplates map[string]*template.Template
 }
 
 func NewModelLoader(modelPath string) *ModelLoader {
-	return &ModelLoader{modelPath: modelPath, gptmodels: make(map[string]*gptj.GPTJ), models: make(map[string]*llama.LLama), promptsTemplates: make(map[string]*template.Template)}
+	return &ModelLoader{modelPath: modelPath, gpt2models: make(map[string]*gpt2.GPT2), gptmodels: make(map[string]*gptj.GPTJ), models: make(map[string]*llama.LLama), promptsTemplates: make(map[string]*template.Template)}
 }
 
 func (ml *ModelLoader) ExistsInModelPath(s string) bool {
@@ -98,6 +102,38 @@ func (ml *ModelLoader) loadTemplateIfExists(modelName, modelFile string) error {
 	return nil
 }
 
+func (ml *ModelLoader) LoadGPT2Model(modelName string) (*gpt2.GPT2, error) {
+	ml.mu.Lock()
+	defer ml.mu.Unlock()
+
+	// Check if we already have a loaded model
+	if !ml.ExistsInModelPath(modelName) {
+		return nil, fmt.Errorf("model does not exist")
+	}
+
+	if m, ok := ml.gpt2models[modelName]; ok {
+		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
+		return m, nil
+	}
+
+	// Load the model and keep it in memory for later use
+	modelFile := filepath.Join(ml.modelPath, modelName)
+	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
+
+	model, err := gpt2.New(modelFile)
+	if err != nil {
+		return nil, err
+	}
+
+	// If there is a prompt template, load it
+	if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
+		return nil, err
+	}
+
+	ml.gpt2models[modelName] = model
+	return model, err
+}
+
 func (ml *ModelLoader) LoadGPTJModel(modelName string) (*gptj.GPTJ, error) {
 	ml.mu.Lock()
 	defer ml.mu.Unlock()
@@ -112,6 +148,13 @@ func (ml *ModelLoader) LoadGPTJModel(modelName string) (*gptj.GPTJ, error) {
 		return m, nil
 	}
 
+	// TODO: This needs refactoring, it's really bad to have it in here
+	// Check if we have a GPT2 model loaded instead - if we do we return an error so the API tries with GPT2
+	if _, ok := ml.gpt2models[modelName]; ok {
+		log.Debug().Msgf("Model is GPT2: %s", modelName)
+		return nil, fmt.Errorf("this model is a GPT2 one")
+	}
+
 	// Load the model and keep it in memory for later use
 	modelFile := filepath.Join(ml.modelPath, modelName)
 	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
@@ -152,6 +195,10 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
 		log.Debug().Msgf("Model is GPTJ: %s", modelName)
 		return nil, fmt.Errorf("this model is a GPTJ one")
 	}
+	if _, ok := ml.gpt2models[modelName]; ok {
+		log.Debug().Msgf("Model is GPT2: %s", modelName)
+		return nil, fmt.Errorf("this model is a GPT2 one")
+	}
 
 	// Load the model and keep it in memory for later use
 	modelFile := filepath.Join(ml.modelPath, modelName)