feat: add /models/apply endpoint to prepare models (#286)

This commit is contained in:
Ettore Di Giacinto authored and GitHub committed 2023-05-18 15:59:03 +02:00
1 parent 5617e50ebc
commit cc9aa9eb3f
23 files changed
+556 -33

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+3 -3
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@@ -211,11 +211,11 @@ test-models/testmodel:
wget https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
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
wget https://raw.githubusercontent.com/saharNooby/rwkv.cpp/5eb8f09c146ea8124633ab041d9ea0b1f1db4459/rwkv/20B_tokenizer.json -O test-models/rwkv.tokenizer.json
cp tests/fixtures/* test-models
cp tests/models_fixtures/* test-models
test: prepare test-models/testmodel
cp tests/fixtures/* test-models
@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 $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo -v -r ./api
cp tests/models_fixtures/* test-models
C_INCLUDE_PATH=${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
## Help:
help: ## Show this help.
+5 -2
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@@ -11,11 +11,12 @@
**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).
- OpenAI drop-in alternative REST API
- Local, OpenAI drop-in alternative REST API. You own your data.
- Supports multiple models, Audio transcription, Text generation with GPTs, Image generation with stable diffusion (experimental)
- Once loaded the first time, it keep models loaded in memory for faster inference
- Support for prompt templates
- Doesn't shell-out, but uses C++ bindings for a faster inference and better performance.
- 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).
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).
@@ -434,7 +435,7 @@ local-ai --models-path <model_path> [--address <address>] [--threads <num_thread
| debug | DEBUG | false | Enable debug mode. |
| config-file | CONFIG_FILE | empty | Path to a LocalAI config file. |
| upload_limit | UPLOAD_LIMIT | 5MB | Upload limit for whisper. |
| image-dir | CONFIG_FILE | empty | Image directory to store and serve processed images. |
| image-path | IMAGE_PATH | empty | Image directory to store and serve processed images. |
</details>
@@ -567,6 +568,8 @@ Note: CuBLAS support is experimental, and has not been tested on real HW. please
make BUILD_TYPE=cublas build
```
More informations available in the upstream PR: https://github.com/ggerganov/llama.cpp/pull/1412
</details>
### Windows compatibility
+20 -7
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@@ -1,6 +1,7 @@
package api
import (
"context"
"errors"
model "github.com/go-skynet/LocalAI/pkg/model"
@@ -12,7 +13,7 @@ import (
"github.com/rs/zerolog/log"
)
func App(configFile string, loader *model.ModelLoader, uploadLimitMB, threads, ctxSize int, f16 bool, debug, disableMessage bool, imageDir string) *fiber.App {
func App(c context.Context, configFile string, loader *model.ModelLoader, uploadLimitMB, threads, ctxSize int, f16 bool, debug, disableMessage bool, imageDir string) *fiber.App {
zerolog.SetGlobalLevel(zerolog.InfoLevel)
if debug {
zerolog.SetGlobalLevel(zerolog.DebugLevel)
@@ -48,7 +49,7 @@ func App(configFile string, loader *model.ModelLoader, uploadLimitMB, threads, c
}))
}
cm := make(ConfigMerger)
cm := NewConfigMerger()
if err := cm.LoadConfigs(loader.ModelPath); err != nil {
log.Error().Msgf("error loading config files: %s", err.Error())
}
@@ -60,39 +61,51 @@ func App(configFile string, loader *model.ModelLoader, uploadLimitMB, threads, c
}
if debug {
for k, v := range cm {
log.Debug().Msgf("Model: %s (config: %+v)", k, v)
for _, v := range cm.ListConfigs() {
cfg, _ := cm.GetConfig(v)
log.Debug().Msgf("Model: %s (config: %+v)", v, cfg)
}
}
// Default middleware config
app.Use(recover.New())
app.Use(cors.New())
// LocalAI API endpoints
applier := newGalleryApplier(loader.ModelPath)
applier.start(c, cm)
app.Post("/models/apply", applyModelGallery(loader.ModelPath, cm, applier.C))
app.Get("/models/jobs/:uid", getOpStatus(applier))
// openAI compatible API endpoint
// chat
app.Post("/v1/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
app.Post("/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
// edit
app.Post("/v1/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
app.Post("/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
// completion
app.Post("/v1/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
app.Post("/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
// embeddings
app.Post("/v1/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
app.Post("/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
// /v1/engines/{engine_id}/embeddings
app.Post("/v1/engines/:model/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
// audio
app.Post("/v1/audio/transcriptions", transcriptEndpoint(cm, debug, loader, threads, ctxSize, f16))
// images
app.Post("/v1/images/generations", imageEndpoint(cm, debug, loader, imageDir))
if imageDir != "" {
app.Static("/generated-images", imageDir)
}
// models
app.Get("/v1/models", listModels(loader, cm))
app.Get("/models", listModels(loader, cm))
+10 -3
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@@ -22,10 +22,14 @@ var _ = Describe("API test", func() {
var modelLoader *model.ModelLoader
var client *openai.Client
var client2 *openaigo.Client
var c context.Context
var cancel context.CancelFunc
Context("API query", func() {
BeforeEach(func() {
modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
app = App("", modelLoader, 15, 1, 512, false, true, true, "")
c, cancel = context.WithCancel(context.Background())
app = App(c, "", modelLoader, 15, 1, 512, false, true, true, "")
go app.Listen("127.0.0.1:9090")
defaultConfig := openai.DefaultConfig("")
@@ -42,6 +46,7 @@ var _ = Describe("API test", func() {
}, "2m").ShouldNot(HaveOccurred())
})
AfterEach(func() {
cancel()
app.Shutdown()
})
It("returns the models list", func() {
@@ -140,7 +145,9 @@ var _ = Describe("API test", func() {
Context("Config file", func() {
BeforeEach(func() {
modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
app = App(os.Getenv("CONFIG_FILE"), modelLoader, 5, 1, 512, false, true, true, "")
c, cancel = context.WithCancel(context.Background())
app = App(c, os.Getenv("CONFIG_FILE"), modelLoader, 5, 1, 512, false, true, true, "")
go app.Listen("127.0.0.1:9090")
defaultConfig := openai.DefaultConfig("")
@@ -155,10 +162,10 @@ var _ = Describe("API test", func() {
}, "2m").ShouldNot(HaveOccurred())
})
AfterEach(func() {
cancel()
app.Shutdown()
})
It("can generate chat completions from config file", func() {
models, err := client.ListModels(context.TODO())
Expect(err).ToNot(HaveOccurred())
Expect(len(models.Models)).To(Equal(12))
+38 -6
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@@ -7,6 +7,7 @@ import (
"os"
"path/filepath"
"strings"
"sync"
model "github.com/go-skynet/LocalAI/pkg/model"
"github.com/gofiber/fiber/v2"
@@ -43,8 +44,16 @@ type TemplateConfig struct {
Edit string `yaml:"edit"`
}
type ConfigMerger map[string]Config
type ConfigMerger struct {
configs map[string]Config
sync.Mutex
}
func NewConfigMerger() *ConfigMerger {
return &ConfigMerger{
configs: make(map[string]Config),
}
}
func ReadConfigFile(file string) ([]*Config, error) {
c := &[]*Config{}
f, err := os.ReadFile(file)
@@ -72,28 +81,51 @@ func ReadConfig(file string) (*Config, error) {
}
func (cm ConfigMerger) LoadConfigFile(file string) error {
cm.Lock()
defer cm.Unlock()
c, err := ReadConfigFile(file)
if err != nil {
return fmt.Errorf("cannot load config file: %w", err)
}
for _, cc := range c {
cm[cc.Name] = *cc
cm.configs[cc.Name] = *cc
}
return nil
}
func (cm ConfigMerger) LoadConfig(file string) error {
cm.Lock()
defer cm.Unlock()
c, err := ReadConfig(file)
if err != nil {
return fmt.Errorf("cannot read config file: %w", err)
}
cm[c.Name] = *c
cm.configs[c.Name] = *c
return nil
}
func (cm ConfigMerger) GetConfig(m string) (Config, bool) {
cm.Lock()
defer cm.Unlock()
v, exists := cm.configs[m]
return v, exists
}
func (cm ConfigMerger) ListConfigs() []string {
cm.Lock()
defer cm.Unlock()
var res []string
for k := range cm.configs {
res = append(res, k)
}
return res
}
func (cm ConfigMerger) LoadConfigs(path string) error {
cm.Lock()
defer cm.Unlock()
files, err := ioutil.ReadDir(path)
if err != nil {
return err
@@ -106,7 +138,7 @@ func (cm ConfigMerger) LoadConfigs(path string) error {
}
c, err := ReadConfig(filepath.Join(path, file.Name()))
if err == nil {
cm[c.Name] = *c
cm.configs[c.Name] = *c
}
}
@@ -253,7 +285,7 @@ func readInput(c *fiber.Ctx, loader *model.ModelLoader, randomModel bool) (strin
return modelFile, input, nil
}
func readConfig(modelFile string, input *OpenAIRequest, cm ConfigMerger, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
func readConfig(modelFile string, input *OpenAIRequest, cm *ConfigMerger, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
// Load a config file if present after the model name
modelConfig := filepath.Join(loader.ModelPath, modelFile+".yaml")
if _, err := os.Stat(modelConfig); err == nil {
@@ -263,7 +295,7 @@ func readConfig(modelFile string, input *OpenAIRequest, cm ConfigMerger, loader
}
var config *Config
cfg, exists := cm[modelFile]
cfg, exists := cm.GetConfig(modelFile)
if !exists {
config = &Config{
OpenAIRequest: defaultRequest(modelFile),
+146
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@@ -0,0 +1,146 @@
package api
import (
"context"
"fmt"
"io/ioutil"
"net/http"
"sync"
"github.com/go-skynet/LocalAI/pkg/gallery"
"github.com/gofiber/fiber/v2"
"github.com/google/uuid"
"gopkg.in/yaml.v3"
)
type galleryOp struct {
req ApplyGalleryModelRequest
id string
}
type galleryOpStatus struct {
Error error `json:"error"`
Processed bool `json:"processed"`
Message string `json:"message"`
}
type galleryApplier struct {
modelPath string
sync.Mutex
C chan galleryOp
statuses map[string]*galleryOpStatus
}
func newGalleryApplier(modelPath string) *galleryApplier {
return &galleryApplier{
modelPath: modelPath,
C: make(chan galleryOp),
statuses: make(map[string]*galleryOpStatus),
}
}
func (g *galleryApplier) updatestatus(s string, op *galleryOpStatus) {
g.Lock()
defer g.Unlock()
g.statuses[s] = op
}
func (g *galleryApplier) getstatus(s string) *galleryOpStatus {
g.Lock()
defer g.Unlock()
return g.statuses[s]
}
func (g *galleryApplier) start(c context.Context, cm *ConfigMerger) {
go func() {
for {
select {
case <-c.Done():
return
case op := <-g.C:
g.updatestatus(op.id, &galleryOpStatus{Message: "processing"})
updateError := func(e error) {
g.updatestatus(op.id, &galleryOpStatus{Error: e, Processed: true})
}
// Send a GET request to the URL
response, err := http.Get(op.req.URL)
if err != nil {
updateError(err)
continue
}
defer response.Body.Close()
// Read the response body
body, err := ioutil.ReadAll(response.Body)
if err != nil {
updateError(err)
continue
}
// Unmarshal YAML data into a Config struct
var config gallery.Config
err = yaml.Unmarshal(body, &config)
if err != nil {
updateError(fmt.Errorf("failed to unmarshal YAML: %v", err))
continue
}
if err := gallery.Apply(g.modelPath, op.req.Name, &config); err != nil {
updateError(err)
continue
}
// Reload models
if err := cm.LoadConfigs(g.modelPath); err != nil {
updateError(err)
continue
}
g.updatestatus(op.id, &galleryOpStatus{Processed: true, Message: "completed"})
}
}
}()
}
// endpoints
type ApplyGalleryModelRequest struct {
URL string `json:"url"`
Name string `json:"name"`
}
func getOpStatus(g *galleryApplier) func(c *fiber.Ctx) error {
return func(c *fiber.Ctx) error {
status := g.getstatus(c.Params("uid"))
if status == nil {
return fmt.Errorf("could not find any status for ID")
}
return c.JSON(status)
}
}
func applyModelGallery(modelPath string, cm *ConfigMerger, g chan galleryOp) func(c *fiber.Ctx) error {
return func(c *fiber.Ctx) error {
input := new(ApplyGalleryModelRequest)
// Get input data from the request body
if err := c.BodyParser(input); err != nil {
return err
}
uuid, err := uuid.NewUUID()
if err != nil {
return err
}
g <- galleryOp{
req: *input,
id: uuid.String(),
}
return c.JSON(struct {
ID string `json:"uid"`
StatusURL string `json:"status"`
}{ID: uuid.String(), StatusURL: c.BaseURL() + "/models/jobs/" + uuid.String()})
}
}
+8 -8
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@@ -142,7 +142,7 @@ func defaultRequest(modelFile string) OpenAIRequest {
}
// https://platform.openai.com/docs/api-reference/completions
func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
func completionEndpoint(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)
@@ -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"})
}
+4 -3
View File
@@ -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"))
},
}
+13
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@@ -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")
}
+237
View File
@@ -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
}
+30
View File
@@ -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())
}
})
})
})
+2 -1
View File
@@ -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
}
+40
View File
@@ -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.