mirror of
https://github.com/mudler/LocalAI.git
synced 2026-10-19 21:12:37 -04:00
feat: add /models/apply endpoint to prepare models (#286)
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@@ -211,11 +211,11 @@ test-models/testmodel:
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wget https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
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wget https://huggingface.co/imxcstar/rwkv-4-raven-ggml/resolve/main/RWKV-4-Raven-1B5-v11-Eng99%25-Other1%25-20230425-ctx4096-16_Q4_2.bin -O test-models/rwkv
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wget https://raw.githubusercontent.com/saharNooby/rwkv.cpp/5eb8f09c146ea8124633ab041d9ea0b1f1db4459/rwkv/20B_tokenizer.json -O test-models/rwkv.tokenizer.json
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cp tests/fixtures/* test-models
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cp tests/models_fixtures/* test-models
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test: prepare test-models/testmodel
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cp tests/fixtures/* test-models
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@C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} TEST_DIR=$(abspath ./)/test-dir/ CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo -v -r ./api
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cp tests/models_fixtures/* test-models
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C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo -v -r ./api ./pkg
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## Help:
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help: ## Show this help.
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@@ -11,11 +11,12 @@
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**LocalAI** is a drop-in replacement REST API compatible with OpenAI API specifications for local inferencing. It allows to run models locally or on-prem with consumer grade hardware, supporting multiple models families compatible with the `ggml` format. For a list of the supported model families, see [the model compatibility table below](https://github.com/go-skynet/LocalAI#model-compatibility-table).
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- OpenAI drop-in alternative REST API
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- Local, OpenAI drop-in alternative REST API. You own your data.
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- Supports multiple models, Audio transcription, Text generation with GPTs, Image generation with stable diffusion (experimental)
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- Once loaded the first time, it keep models loaded in memory for faster inference
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- Support for prompt templates
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- Doesn't shell-out, but uses C++ bindings for a faster inference and better performance.
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- NO GPU required. NO Internet access is required either. Optional, GPU Acceleration is available in `llama.cpp`-compatible LLMs. [See building instructions](https://github.com/go-skynet/LocalAI#cublas).
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LocalAI is a community-driven project, focused on making the AI accessible to anyone. Any contribution, feedback and PR is welcome! It was initially created by [mudler](https://github.com/mudler/) at the [SpectroCloud OSS Office](https://github.com/spectrocloud).
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@@ -434,7 +435,7 @@ local-ai --models-path <model_path> [--address <address>] [--threads <num_thread
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| debug | DEBUG | false | Enable debug mode. |
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| config-file | CONFIG_FILE | empty | Path to a LocalAI config file. |
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| upload_limit | UPLOAD_LIMIT | 5MB | Upload limit for whisper. |
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| image-dir | CONFIG_FILE | empty | Image directory to store and serve processed images. |
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| image-path | IMAGE_PATH | empty | Image directory to store and serve processed images. |
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</details>
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@@ -567,6 +568,8 @@ Note: CuBLAS support is experimental, and has not been tested on real HW. please
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make BUILD_TYPE=cublas build
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```
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More informations available in the upstream PR: https://github.com/ggerganov/llama.cpp/pull/1412
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</details>
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### Windows compatibility
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+20
-7
@@ -1,6 +1,7 @@
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package api
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import (
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"context"
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"errors"
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model "github.com/go-skynet/LocalAI/pkg/model"
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@@ -12,7 +13,7 @@ import (
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"github.com/rs/zerolog/log"
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)
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func App(configFile string, loader *model.ModelLoader, uploadLimitMB, threads, ctxSize int, f16 bool, debug, disableMessage bool, imageDir string) *fiber.App {
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func App(c context.Context, configFile string, loader *model.ModelLoader, uploadLimitMB, threads, ctxSize int, f16 bool, debug, disableMessage bool, imageDir string) *fiber.App {
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zerolog.SetGlobalLevel(zerolog.InfoLevel)
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if debug {
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zerolog.SetGlobalLevel(zerolog.DebugLevel)
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@@ -48,7 +49,7 @@ func App(configFile string, loader *model.ModelLoader, uploadLimitMB, threads, c
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}))
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}
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cm := make(ConfigMerger)
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cm := NewConfigMerger()
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if err := cm.LoadConfigs(loader.ModelPath); err != nil {
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log.Error().Msgf("error loading config files: %s", err.Error())
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}
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@@ -60,39 +61,51 @@ func App(configFile string, loader *model.ModelLoader, uploadLimitMB, threads, c
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}
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if debug {
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for k, v := range cm {
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log.Debug().Msgf("Model: %s (config: %+v)", k, v)
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for _, v := range cm.ListConfigs() {
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cfg, _ := cm.GetConfig(v)
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log.Debug().Msgf("Model: %s (config: %+v)", v, cfg)
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}
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}
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// Default middleware config
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app.Use(recover.New())
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app.Use(cors.New())
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// LocalAI API endpoints
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applier := newGalleryApplier(loader.ModelPath)
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applier.start(c, cm)
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app.Post("/models/apply", applyModelGallery(loader.ModelPath, cm, applier.C))
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app.Get("/models/jobs/:uid", getOpStatus(applier))
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// openAI compatible API endpoint
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// chat
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app.Post("/v1/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
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app.Post("/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
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// edit
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app.Post("/v1/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
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app.Post("/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
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// completion
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app.Post("/v1/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
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app.Post("/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
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// embeddings
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app.Post("/v1/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
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app.Post("/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
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// /v1/engines/{engine_id}/embeddings
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app.Post("/v1/engines/:model/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
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// audio
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app.Post("/v1/audio/transcriptions", transcriptEndpoint(cm, debug, loader, threads, ctxSize, f16))
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// images
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app.Post("/v1/images/generations", imageEndpoint(cm, debug, loader, imageDir))
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if imageDir != "" {
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app.Static("/generated-images", imageDir)
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}
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// models
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app.Get("/v1/models", listModels(loader, cm))
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app.Get("/models", listModels(loader, cm))
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+10
-3
@@ -22,10 +22,14 @@ var _ = Describe("API test", func() {
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var modelLoader *model.ModelLoader
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var client *openai.Client
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var client2 *openaigo.Client
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var c context.Context
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var cancel context.CancelFunc
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Context("API query", func() {
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BeforeEach(func() {
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modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
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app = App("", modelLoader, 15, 1, 512, false, true, true, "")
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c, cancel = context.WithCancel(context.Background())
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app = App(c, "", modelLoader, 15, 1, 512, false, true, true, "")
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go app.Listen("127.0.0.1:9090")
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defaultConfig := openai.DefaultConfig("")
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@@ -42,6 +46,7 @@ var _ = Describe("API test", func() {
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}, "2m").ShouldNot(HaveOccurred())
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})
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AfterEach(func() {
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cancel()
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app.Shutdown()
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})
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It("returns the models list", func() {
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@@ -140,7 +145,9 @@ var _ = Describe("API test", func() {
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Context("Config file", func() {
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BeforeEach(func() {
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modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
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app = App(os.Getenv("CONFIG_FILE"), modelLoader, 5, 1, 512, false, true, true, "")
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c, cancel = context.WithCancel(context.Background())
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app = App(c, os.Getenv("CONFIG_FILE"), modelLoader, 5, 1, 512, false, true, true, "")
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go app.Listen("127.0.0.1:9090")
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defaultConfig := openai.DefaultConfig("")
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@@ -155,10 +162,10 @@ var _ = Describe("API test", func() {
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}, "2m").ShouldNot(HaveOccurred())
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})
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AfterEach(func() {
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cancel()
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app.Shutdown()
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})
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It("can generate chat completions from config file", func() {
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models, err := client.ListModels(context.TODO())
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Expect(err).ToNot(HaveOccurred())
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Expect(len(models.Models)).To(Equal(12))
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+38
-6
@@ -7,6 +7,7 @@ import (
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"os"
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"path/filepath"
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"strings"
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"sync"
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model "github.com/go-skynet/LocalAI/pkg/model"
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"github.com/gofiber/fiber/v2"
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@@ -43,8 +44,16 @@ type TemplateConfig struct {
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Edit string `yaml:"edit"`
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}
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type ConfigMerger map[string]Config
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type ConfigMerger struct {
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configs map[string]Config
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sync.Mutex
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}
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func NewConfigMerger() *ConfigMerger {
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return &ConfigMerger{
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configs: make(map[string]Config),
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}
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}
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func ReadConfigFile(file string) ([]*Config, error) {
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c := &[]*Config{}
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f, err := os.ReadFile(file)
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@@ -72,28 +81,51 @@ func ReadConfig(file string) (*Config, error) {
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}
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func (cm ConfigMerger) LoadConfigFile(file string) error {
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cm.Lock()
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defer cm.Unlock()
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c, err := ReadConfigFile(file)
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if err != nil {
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return fmt.Errorf("cannot load config file: %w", err)
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}
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for _, cc := range c {
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cm[cc.Name] = *cc
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cm.configs[cc.Name] = *cc
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}
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return nil
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}
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func (cm ConfigMerger) LoadConfig(file string) error {
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cm.Lock()
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defer cm.Unlock()
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c, err := ReadConfig(file)
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if err != nil {
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return fmt.Errorf("cannot read config file: %w", err)
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}
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cm[c.Name] = *c
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cm.configs[c.Name] = *c
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return nil
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}
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func (cm ConfigMerger) GetConfig(m string) (Config, bool) {
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cm.Lock()
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defer cm.Unlock()
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v, exists := cm.configs[m]
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return v, exists
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}
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func (cm ConfigMerger) ListConfigs() []string {
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cm.Lock()
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defer cm.Unlock()
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var res []string
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for k := range cm.configs {
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res = append(res, k)
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}
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return res
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}
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func (cm ConfigMerger) LoadConfigs(path string) error {
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cm.Lock()
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defer cm.Unlock()
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files, err := ioutil.ReadDir(path)
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if err != nil {
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return err
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@@ -106,7 +138,7 @@ func (cm ConfigMerger) LoadConfigs(path string) error {
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}
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c, err := ReadConfig(filepath.Join(path, file.Name()))
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if err == nil {
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cm[c.Name] = *c
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cm.configs[c.Name] = *c
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}
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}
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@@ -253,7 +285,7 @@ func readInput(c *fiber.Ctx, loader *model.ModelLoader, randomModel bool) (strin
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return modelFile, input, nil
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}
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func readConfig(modelFile string, input *OpenAIRequest, cm ConfigMerger, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
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func readConfig(modelFile string, input *OpenAIRequest, cm *ConfigMerger, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
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// Load a config file if present after the model name
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modelConfig := filepath.Join(loader.ModelPath, modelFile+".yaml")
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if _, err := os.Stat(modelConfig); err == nil {
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@@ -263,7 +295,7 @@ func readConfig(modelFile string, input *OpenAIRequest, cm ConfigMerger, loader
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}
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var config *Config
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cfg, exists := cm[modelFile]
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cfg, exists := cm.GetConfig(modelFile)
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if !exists {
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config = &Config{
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OpenAIRequest: defaultRequest(modelFile),
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+146
@@ -0,0 +1,146 @@
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package api
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import (
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"context"
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"fmt"
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"io/ioutil"
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"net/http"
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"sync"
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"github.com/go-skynet/LocalAI/pkg/gallery"
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"github.com/gofiber/fiber/v2"
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"github.com/google/uuid"
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"gopkg.in/yaml.v3"
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)
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type galleryOp struct {
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req ApplyGalleryModelRequest
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id string
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}
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type galleryOpStatus struct {
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Error error `json:"error"`
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Processed bool `json:"processed"`
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Message string `json:"message"`
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}
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type galleryApplier struct {
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modelPath string
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sync.Mutex
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C chan galleryOp
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statuses map[string]*galleryOpStatus
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}
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func newGalleryApplier(modelPath string) *galleryApplier {
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return &galleryApplier{
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modelPath: modelPath,
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C: make(chan galleryOp),
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statuses: make(map[string]*galleryOpStatus),
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}
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}
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func (g *galleryApplier) updatestatus(s string, op *galleryOpStatus) {
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g.Lock()
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defer g.Unlock()
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g.statuses[s] = op
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}
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func (g *galleryApplier) getstatus(s string) *galleryOpStatus {
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g.Lock()
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defer g.Unlock()
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return g.statuses[s]
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}
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func (g *galleryApplier) start(c context.Context, cm *ConfigMerger) {
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go func() {
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for {
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select {
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case <-c.Done():
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return
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case op := <-g.C:
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g.updatestatus(op.id, &galleryOpStatus{Message: "processing"})
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|
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updateError := func(e error) {
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g.updatestatus(op.id, &galleryOpStatus{Error: e, Processed: true})
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}
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// Send a GET request to the URL
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response, err := http.Get(op.req.URL)
|
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if err != nil {
|
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updateError(err)
|
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continue
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}
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defer response.Body.Close()
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|
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// Read the response body
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body, err := ioutil.ReadAll(response.Body)
|
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if err != nil {
|
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updateError(err)
|
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continue
|
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}
|
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|
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// Unmarshal YAML data into a Config struct
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var config gallery.Config
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err = yaml.Unmarshal(body, &config)
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if err != nil {
|
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updateError(fmt.Errorf("failed to unmarshal YAML: %v", err))
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continue
|
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}
|
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|
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if err := gallery.Apply(g.modelPath, op.req.Name, &config); err != nil {
|
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updateError(err)
|
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continue
|
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}
|
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|
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// Reload models
|
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if err := cm.LoadConfigs(g.modelPath); err != nil {
|
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updateError(err)
|
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continue
|
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}
|
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|
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g.updatestatus(op.id, &galleryOpStatus{Processed: true, Message: "completed"})
|
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}
|
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}
|
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}()
|
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}
|
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|
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// endpoints
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|
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type ApplyGalleryModelRequest struct {
|
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URL string `json:"url"`
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Name string `json:"name"`
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}
|
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|
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func getOpStatus(g *galleryApplier) func(c *fiber.Ctx) error {
|
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return func(c *fiber.Ctx) error {
|
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|
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status := g.getstatus(c.Params("uid"))
|
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if status == nil {
|
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return fmt.Errorf("could not find any status for ID")
|
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}
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|
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return c.JSON(status)
|
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}
|
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}
|
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|
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func applyModelGallery(modelPath string, cm *ConfigMerger, g chan galleryOp) func(c *fiber.Ctx) error {
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return func(c *fiber.Ctx) error {
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input := new(ApplyGalleryModelRequest)
|
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// Get input data from the request body
|
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if err := c.BodyParser(input); err != nil {
|
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return err
|
||||
}
|
||||
|
||||
uuid, err := uuid.NewUUID()
|
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if err != nil {
|
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return err
|
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}
|
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g <- galleryOp{
|
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req: *input,
|
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id: uuid.String(),
|
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}
|
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return c.JSON(struct {
|
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ID string `json:"uid"`
|
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StatusURL string `json:"status"`
|
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}{ID: uuid.String(), StatusURL: c.BaseURL() + "/models/jobs/" + uuid.String()})
|
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}
|
||||
}
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+8
-8
@@ -142,7 +142,7 @@ func defaultRequest(modelFile string) OpenAIRequest {
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}
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|
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// https://platform.openai.com/docs/api-reference/completions
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func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
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func completionEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
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return func(c *fiber.Ctx) error {
|
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|
||||
model, input, err := readInput(c, loader, true)
|
||||
@@ -199,7 +199,7 @@ func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
|
||||
}
|
||||
|
||||
// https://platform.openai.com/docs/api-reference/embeddings
|
||||
func embeddingsEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
func embeddingsEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
return func(c *fiber.Ctx) error {
|
||||
model, input, err := readInput(c, loader, true)
|
||||
if err != nil {
|
||||
@@ -256,7 +256,7 @@ func embeddingsEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
|
||||
}
|
||||
}
|
||||
|
||||
func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
func chatEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
|
||||
process := func(s string, req *OpenAIRequest, config *Config, loader *model.ModelLoader, responses chan OpenAIResponse) {
|
||||
ComputeChoices(s, req, config, loader, func(s string, c *[]Choice) {}, func(s string) bool {
|
||||
@@ -378,7 +378,7 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
|
||||
}
|
||||
}
|
||||
|
||||
func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
func editEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
return func(c *fiber.Ctx) error {
|
||||
model, input, err := readInput(c, loader, true)
|
||||
if err != nil {
|
||||
@@ -449,7 +449,7 @@ func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
|
||||
|
||||
*
|
||||
*/
|
||||
func imageEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, imageDir string) func(c *fiber.Ctx) error {
|
||||
func imageEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, imageDir string) func(c *fiber.Ctx) error {
|
||||
return func(c *fiber.Ctx) error {
|
||||
m, input, err := readInput(c, loader, false)
|
||||
if err != nil {
|
||||
@@ -574,7 +574,7 @@ func imageEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, image
|
||||
}
|
||||
|
||||
// https://platform.openai.com/docs/api-reference/audio/create
|
||||
func transcriptEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
func transcriptEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
return func(c *fiber.Ctx) error {
|
||||
m, input, err := readInput(c, loader, false)
|
||||
if err != nil {
|
||||
@@ -641,7 +641,7 @@ func transcriptEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
|
||||
}
|
||||
}
|
||||
|
||||
func listModels(loader *model.ModelLoader, cm ConfigMerger) func(ctx *fiber.Ctx) error {
|
||||
func listModels(loader *model.ModelLoader, cm *ConfigMerger) func(ctx *fiber.Ctx) error {
|
||||
return func(c *fiber.Ctx) error {
|
||||
models, err := loader.ListModels()
|
||||
if err != nil {
|
||||
@@ -655,7 +655,7 @@ func listModels(loader *model.ModelLoader, cm ConfigMerger) func(ctx *fiber.Ctx)
|
||||
dataModels = append(dataModels, OpenAIModel{ID: m, Object: "model"})
|
||||
}
|
||||
|
||||
for k := range cm {
|
||||
for _, k := range cm.ListConfigs() {
|
||||
if _, exists := mm[k]; !exists {
|
||||
dataModels = append(dataModels, OpenAIModel{ID: k, Object: "model"})
|
||||
}
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
package main
|
||||
|
||||
import (
|
||||
"context"
|
||||
"fmt"
|
||||
"os"
|
||||
"path/filepath"
|
||||
@@ -57,9 +58,9 @@ func main() {
|
||||
Value: ":8080",
|
||||
},
|
||||
&cli.StringFlag{
|
||||
Name: "image-dir",
|
||||
Name: "image-path",
|
||||
DefaultText: "Image directory",
|
||||
EnvVars: []string{"IMAGE_DIR"},
|
||||
EnvVars: []string{"IMAGE_PATH"},
|
||||
Value: "",
|
||||
},
|
||||
&cli.IntFlag{
|
||||
@@ -93,7 +94,7 @@ It uses llama.cpp, ggml and gpt4all as backend with golang c bindings.
|
||||
Copyright: "go-skynet authors",
|
||||
Action: func(ctx *cli.Context) error {
|
||||
fmt.Printf("Starting LocalAI using %d threads, with models path: %s\n", ctx.Int("threads"), ctx.String("models-path"))
|
||||
return api.App(ctx.String("config-file"), model.NewModelLoader(ctx.String("models-path")), ctx.Int("upload-limit"), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false, ctx.String("image-dir")).Listen(ctx.String("address"))
|
||||
return api.App(context.Background(), ctx.String("config-file"), model.NewModelLoader(ctx.String("models-path")), ctx.Int("upload-limit"), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false, ctx.String("image-path")).Listen(ctx.String("address"))
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@@ -0,0 +1,13 @@
|
||||
package gallery_test
|
||||
|
||||
import (
|
||||
"testing"
|
||||
|
||||
. "github.com/onsi/ginkgo/v2"
|
||||
. "github.com/onsi/gomega"
|
||||
)
|
||||
|
||||
func TestGallery(t *testing.T) {
|
||||
RegisterFailHandler(Fail)
|
||||
RunSpecs(t, "Gallery test suite")
|
||||
}
|
||||
@@ -0,0 +1,237 @@
|
||||
package gallery
|
||||
|
||||
import (
|
||||
"crypto/sha256"
|
||||
"fmt"
|
||||
"io"
|
||||
"net/http"
|
||||
"os"
|
||||
"path/filepath"
|
||||
|
||||
"github.com/rs/zerolog/log"
|
||||
"gopkg.in/yaml.v2"
|
||||
)
|
||||
|
||||
/*
|
||||
|
||||
description: |
|
||||
foo
|
||||
license: ""
|
||||
|
||||
urls:
|
||||
-
|
||||
-
|
||||
|
||||
name: "bar"
|
||||
|
||||
config_file: |
|
||||
# Note, name will be injected. or generated by the alias wanted by the user
|
||||
threads: 14
|
||||
|
||||
files:
|
||||
- filename: ""
|
||||
sha: ""
|
||||
uri: ""
|
||||
|
||||
prompt_templates:
|
||||
- name: ""
|
||||
content: ""
|
||||
|
||||
*/
|
||||
|
||||
type Config struct {
|
||||
Description string `yaml:"description"`
|
||||
License string `yaml:"license"`
|
||||
URLs []string `yaml:"urls"`
|
||||
Name string `yaml:"name"`
|
||||
ConfigFile string `yaml:"config_file"`
|
||||
Files []File `yaml:"files"`
|
||||
PromptTemplates []PromptTemplate `yaml:"prompt_templates"`
|
||||
}
|
||||
|
||||
type File struct {
|
||||
Filename string `yaml:"filename"`
|
||||
SHA256 string `yaml:"sha256"`
|
||||
URI string `yaml:"uri"`
|
||||
}
|
||||
|
||||
type PromptTemplate struct {
|
||||
Name string `yaml:"name"`
|
||||
Content string `yaml:"content"`
|
||||
}
|
||||
|
||||
func ReadConfigFile(filePath string) (*Config, error) {
|
||||
// Read the YAML file
|
||||
yamlFile, err := os.ReadFile(filePath)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to read YAML file: %v", err)
|
||||
}
|
||||
|
||||
// Unmarshal YAML data into a Config struct
|
||||
var config Config
|
||||
err = yaml.Unmarshal(yamlFile, &config)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to unmarshal YAML: %v", err)
|
||||
}
|
||||
|
||||
return &config, nil
|
||||
}
|
||||
|
||||
func Apply(basePath, nameOverride string, config *Config) error {
|
||||
// Create base path if it doesn't exist
|
||||
err := os.MkdirAll(basePath, 0755)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to create base path: %v", err)
|
||||
}
|
||||
|
||||
// Download files and verify their SHA
|
||||
for _, file := range config.Files {
|
||||
log.Debug().Msgf("Checking %q exists and matches SHA", file.Filename)
|
||||
|
||||
// Create file path
|
||||
filePath := filepath.Join(basePath, file.Filename)
|
||||
|
||||
// Check if the file already exists
|
||||
_, err := os.Stat(filePath)
|
||||
if err == nil {
|
||||
// File exists, check SHA
|
||||
if file.SHA256 != "" {
|
||||
// Verify SHA
|
||||
calculatedSHA, err := calculateSHA(filePath)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to calculate SHA for file %q: %v", file.Filename, err)
|
||||
}
|
||||
if calculatedSHA == file.SHA256 {
|
||||
// SHA matches, skip downloading
|
||||
log.Debug().Msgf("File %q already exists and matches the SHA. Skipping download", file.Filename)
|
||||
continue
|
||||
}
|
||||
// SHA doesn't match, delete the file and download again
|
||||
err = os.Remove(filePath)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to remove existing file %q: %v", file.Filename, err)
|
||||
}
|
||||
log.Debug().Msgf("Removed %q (SHA doesn't match)", filePath)
|
||||
|
||||
} else {
|
||||
// SHA is missing, skip downloading
|
||||
log.Debug().Msgf("File %q already exists. Skipping download", file.Filename)
|
||||
continue
|
||||
}
|
||||
} else if !os.IsNotExist(err) {
|
||||
// Error occurred while checking file existence
|
||||
return fmt.Errorf("failed to check file %q existence: %v", file.Filename, err)
|
||||
}
|
||||
|
||||
log.Debug().Msgf("Downloading %q", file.URI)
|
||||
|
||||
// Download file
|
||||
resp, err := http.Get(file.URI)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to download file %q: %v", file.Filename, err)
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
// Create parent directory
|
||||
err = os.MkdirAll(filepath.Dir(filePath), 0755)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to create parent directory for file %q: %v", file.Filename, err)
|
||||
}
|
||||
|
||||
// Create and write file content
|
||||
outFile, err := os.Create(filePath)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to create file %q: %v", file.Filename, err)
|
||||
}
|
||||
defer outFile.Close()
|
||||
|
||||
if file.SHA256 != "" {
|
||||
log.Debug().Msgf("Download and verifying %q", file.Filename)
|
||||
|
||||
// Write file content and calculate SHA
|
||||
hash := sha256.New()
|
||||
_, err = io.Copy(io.MultiWriter(outFile, hash), resp.Body)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to write file %q: %v", file.Filename, err)
|
||||
}
|
||||
|
||||
// Verify SHA
|
||||
calculatedSHA := fmt.Sprintf("%x", hash.Sum(nil))
|
||||
if calculatedSHA != file.SHA256 {
|
||||
return fmt.Errorf("SHA mismatch for file %q ( calculated: %s != metadata: %s )", file.Filename, calculatedSHA, file.SHA256)
|
||||
}
|
||||
} else {
|
||||
log.Debug().Msgf("SHA missing for %q. Skipping validation", file.Filename)
|
||||
_, err = io.Copy(outFile, resp.Body)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to write file %q: %v", file.Filename, err)
|
||||
}
|
||||
}
|
||||
|
||||
log.Debug().Msgf("File %q downloaded and verified", file.Filename)
|
||||
}
|
||||
|
||||
// Write prompt template contents to separate files
|
||||
for _, template := range config.PromptTemplates {
|
||||
// Create file path
|
||||
filePath := filepath.Join(basePath, template.Name+".tmpl")
|
||||
|
||||
// Create parent directory
|
||||
err := os.MkdirAll(filepath.Dir(filePath), 0755)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to create parent directory for prompt template %q: %v", template.Name, err)
|
||||
}
|
||||
// Create and write file content
|
||||
err = os.WriteFile(filePath, []byte(template.Content), 0644)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to write prompt template %q: %v", template.Name, err)
|
||||
}
|
||||
|
||||
log.Debug().Msgf("Prompt template %q written", template.Name)
|
||||
}
|
||||
|
||||
name := config.Name
|
||||
if nameOverride != "" {
|
||||
name = nameOverride
|
||||
}
|
||||
|
||||
configFilePath := filepath.Join(basePath, name+".yaml")
|
||||
|
||||
// Read and update config file as map[string]interface{}
|
||||
configMap := make(map[string]interface{})
|
||||
err = yaml.Unmarshal([]byte(config.ConfigFile), &configMap)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to unmarshal config YAML: %v", err)
|
||||
}
|
||||
|
||||
configMap["name"] = name
|
||||
|
||||
// Write updated config file
|
||||
updatedConfigYAML, err := yaml.Marshal(configMap)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to marshal updated config YAML: %v", err)
|
||||
}
|
||||
|
||||
err = os.WriteFile(configFilePath, updatedConfigYAML, 0644)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to write updated config file: %v", err)
|
||||
}
|
||||
|
||||
log.Debug().Msgf("Written config file %s", configFilePath)
|
||||
return nil
|
||||
}
|
||||
|
||||
func calculateSHA(filePath string) (string, error) {
|
||||
file, err := os.Open(filePath)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
defer file.Close()
|
||||
|
||||
hash := sha256.New()
|
||||
if _, err := io.Copy(hash, file); err != nil {
|
||||
return "", err
|
||||
}
|
||||
|
||||
return fmt.Sprintf("%x", hash.Sum(nil)), nil
|
||||
}
|
||||
@@ -0,0 +1,30 @@
|
||||
package gallery_test
|
||||
|
||||
import (
|
||||
"os"
|
||||
"path/filepath"
|
||||
|
||||
. "github.com/go-skynet/LocalAI/pkg/gallery"
|
||||
. "github.com/onsi/ginkgo/v2"
|
||||
. "github.com/onsi/gomega"
|
||||
)
|
||||
|
||||
var _ = Describe("Model test", func() {
|
||||
Context("Downloading", func() {
|
||||
It("applies model correctly", func() {
|
||||
tempdir, err := os.MkdirTemp("", "test")
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
defer os.RemoveAll(tempdir)
|
||||
c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
|
||||
err = Apply(tempdir, "", c)
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
|
||||
for _, f := range []string{"cerebras", "cerebras-completion.tmpl", "cerebras-chat.tmpl", "cerebras.yaml"} {
|
||||
_, err = os.Stat(filepath.Join(tempdir, f))
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
}
|
||||
})
|
||||
})
|
||||
})
|
||||
@@ -164,11 +164,12 @@ func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, lla
|
||||
}
|
||||
|
||||
func (ml *ModelLoader) GreedyLoader(modelFile string, llamaOpts []llama.ModelOption, threads uint32) (interface{}, error) {
|
||||
log.Debug().Msgf("Loading models greedly")
|
||||
log.Debug().Msgf("Loading model '%s' greedly", modelFile)
|
||||
|
||||
ml.mu.Lock()
|
||||
m, exists := ml.models[modelFile]
|
||||
if exists {
|
||||
log.Debug().Msgf("Model '%s' already loaded", modelFile)
|
||||
ml.mu.Unlock()
|
||||
return m, nil
|
||||
}
|
||||
|
||||
Vendored
+40
@@ -0,0 +1,40 @@
|
||||
name: "cerebras"
|
||||
description: |
|
||||
cerebras
|
||||
license: "Apache 2.0"
|
||||
|
||||
config_file: |
|
||||
parameters:
|
||||
model: cerebras
|
||||
top_k: 80
|
||||
temperature: 0.2
|
||||
top_p: 0.7
|
||||
context_size: 1024
|
||||
stopwords:
|
||||
- "HUMAN:"
|
||||
- "GPT:"
|
||||
roles:
|
||||
user: ""
|
||||
system: ""
|
||||
template:
|
||||
completion: "cerebras-completion"
|
||||
chat: cerebras-chat
|
||||
|
||||
files:
|
||||
- filename: "cerebras"
|
||||
sha256: "c947051ae4dba9530ca55d923a7a484acd65664c8633462c8ccd4bb7848f2c65"
|
||||
uri: "https://huggingface.co/concedo/cerebras-111M-ggml/resolve/main/cerebras-111m-q4_2.bin"
|
||||
|
||||
prompt_templates:
|
||||
- name: "cerebras-completion"
|
||||
content: |
|
||||
Complete the prompt
|
||||
### Prompt:
|
||||
{{.Input}}
|
||||
### Response:
|
||||
- name: "cerebras-chat"
|
||||
content: |
|
||||
The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
|
||||
### Prompt:
|
||||
{{.Input}}
|
||||
### Response:
|
||||
File renamed without changes.
File renamed without changes.
File renamed without changes.
File renamed without changes.
File renamed without changes.
File renamed without changes.
File renamed without changes.
File renamed without changes.
File renamed without changes.
File renamed without changes.
Reference in new issue
Block a user