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fe2706890c |
4
.github/workflows/test.yml
vendored
4
.github/workflows/test.yml
vendored
@@ -21,7 +21,7 @@ jobs:
|
||||
- name: Dependencies
|
||||
run: |
|
||||
sudo apt-get update
|
||||
sudo apt-get install build-essential
|
||||
sudo apt-get install build-essential ffmpeg
|
||||
- name: Test
|
||||
run: |
|
||||
make test
|
||||
@@ -38,7 +38,7 @@ jobs:
|
||||
- name: Dependencies
|
||||
run: |
|
||||
brew update
|
||||
brew install sdl2
|
||||
brew install sdl2 ffmpeg
|
||||
- name: Test
|
||||
run: |
|
||||
make test
|
||||
22
Makefile
22
Makefile
@@ -3,14 +3,14 @@ GOTEST=$(GOCMD) test
|
||||
GOVET=$(GOCMD) vet
|
||||
BINARY_NAME=local-ai
|
||||
|
||||
GOLLAMA_VERSION?=c03e8adbc45c866e0f6d876af1887d6b01d57eb4
|
||||
GOLLAMA_VERSION?=70593fccbe4b01dedaab805b0f25cb58192c7b38
|
||||
GPT4ALL_REPO?=https://github.com/go-skynet/gpt4all
|
||||
GPT4ALL_VERSION?=3657f9417e17edf378c27d0a9274a1bf41caa914
|
||||
GOGPT2_VERSION?=abf038a7d8efa4eefdc7c891f05ad33d4e59e49d
|
||||
GOGPT2_VERSION?=92421a8cf61ed6e03babd9067af292b094cb1307
|
||||
RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
|
||||
RWKV_VERSION?=07166da10cb2a9e8854395a4f210464dcea76e47
|
||||
WHISPER_CPP_VERSION?=bf2449dfae35a46b2cd92ab22661ce81a48d4993
|
||||
BERT_VERSION?=ec771ec715576ac050263bb7bb74bfd616a5ba13
|
||||
BERT_VERSION?=ac22f8f74aec5e31bc46242c17e7d511f127856b
|
||||
BLOOMZ_VERSION?=e9366e82abdfe70565644fbfae9651976714efd1
|
||||
|
||||
|
||||
@@ -49,7 +49,7 @@ gpt4all:
|
||||
@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
|
||||
@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
|
||||
@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/set_console_color/set_gptj_console_color/g' {} +
|
||||
@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/set_console_color/set_gptj_console_color/g' {} +
|
||||
@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/set_console_color/set_gptj_console_color/g' {} +
|
||||
@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
|
||||
@find ./gpt4all -type f -name "*.go" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
|
||||
@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
|
||||
@@ -104,8 +104,12 @@ go-gpt2:
|
||||
@find ./go-gpt2 -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
|
||||
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
|
||||
@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
|
||||
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
|
||||
@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
|
||||
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_print_usage/gpt2_print_usage/g' {} +
|
||||
@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_print_usage/gpt2_print_usage/g' {} +
|
||||
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_params_parse/gpt2_params_parse/g' {} +
|
||||
@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_params_parse/gpt2_params_parse/g' {} +
|
||||
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_random_prompt/gpt2_random_prompt/g' {} +
|
||||
@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_random_prompt/gpt2_random_prompt/g' {} +
|
||||
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
|
||||
|
||||
go-gpt2/libgpt2.a: go-gpt2
|
||||
@@ -175,12 +179,16 @@ run: prepare ## run local-ai
|
||||
|
||||
test-models/testmodel:
|
||||
mkdir test-models
|
||||
mkdir test-dir
|
||||
wget https://huggingface.co/concedo/cerebras-111M-ggml/resolve/main/cerberas-111m-q4_0.bin -O test-models/testmodel
|
||||
wget https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
|
||||
wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O test-models/bert
|
||||
wget https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
|
||||
cp tests/fixtures/* test-models
|
||||
|
||||
test: prepare test-models/testmodel
|
||||
cp tests/fixtures/* test-models
|
||||
@C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo -v -r ./api
|
||||
@C_INCLUDE_PATH=${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
|
||||
|
||||
## Help:
|
||||
help: ## Show this help.
|
||||
|
||||
25
README.md
25
README.md
@@ -25,6 +25,7 @@ See [examples on how to integrate LocalAI](https://github.com/go-skynet/LocalAI/
|
||||
|
||||
## News
|
||||
|
||||
- 11-05-2023: __1.9.0__ released! 🔥 Important whisper updates ( https://github.com/go-skynet/LocalAI/pull/233 https://github.com/go-skynet/LocalAI/pull/229 ) and extended gpt4all model families support ( https://github.com/go-skynet/LocalAI/pull/232 ). Redpajama/dolly experimental ( https://github.com/go-skynet/LocalAI/pull/214 )
|
||||
- 10-05-2023: __1.8.0__ released! 🔥 Added support for fast and accurate embeddings with `bert.cpp` ( https://github.com/go-skynet/LocalAI/pull/222 )
|
||||
- 09-05-2023: Added experimental support for transcriptions endpoint ( https://github.com/go-skynet/LocalAI/pull/211 )
|
||||
- 08-05-2023: Support for embeddings with models using the `llama.cpp` backend ( https://github.com/go-skynet/LocalAI/pull/207 )
|
||||
@@ -91,6 +92,30 @@ It should also be compatible with StableLM and GPTNeoX ggml models (untested).
|
||||
Depending on the model you are attempting to run might need more RAM or CPU resources. Check out also [here](https://github.com/ggerganov/llama.cpp#memorydisk-requirements) for `ggml` based backends. `rwkv` is less expensive on resources.
|
||||
|
||||
|
||||
### Model compatibility table
|
||||
|
||||
<details>
|
||||
|
||||
| Backend | Compatible models | Completion/Chat endpoint | Audio transcription | Embeddings support | Token stream support | Github | Bindings |
|
||||
|-----------------|-----------------------|--------------------------|---------------------|-----------------------------------|----------------------|--------------------------------------------|-------------------------------------------|
|
||||
| llama | Vicuna, Alpaca, LLaMa | yes | no | yes (doesn't seem to be accurate) | yes | https://github.com/ggerganov/llama.cpp | https://github.com/go-skynet/go-llama.cpp |
|
||||
| gpt4all-llama | Vicuna, Alpaca, LLaMa | yes | no | no | yes | https://github.com/nomic-ai/gpt4all | https://github.com/go-skynet/gpt4all |
|
||||
| gpt4all-mpt | MPT | yes | no | no | yes | https://github.com/nomic-ai/gpt4all | https://github.com/go-skynet/gpt4all |
|
||||
| gpt4all-j | GPT4ALL-J | yes | no | no | yes | https://github.com/nomic-ai/gpt4all | https://github.com/go-skynet/gpt4all |
|
||||
| gpt2 | GPT/NeoX, Cerebras | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| dolly | Dolly | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| redpajama | RedPajama | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| stableLM | StableLM GPT/NeoX | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| replit | Replit | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| gptneox | GPT NeoX | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| starcoder | Starcoder | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| bloomz | Bloom | yes | no | no | no | https://github.com/NouamaneTazi/bloomz.cpp | https://github.com/go-skynet/bloomz.cpp |
|
||||
| rwkv | RWKV | yes | no | no | yes | https://github.com/saharNooby/rwkv.cpp | https://github.com/donomii/go-rwkv.cpp |
|
||||
| bert-embeddings | bert | no | no | yes | no | https://github.com/skeskinen/bert.cpp | https://github.com/go-skynet/go-bert.cpp |
|
||||
| whisper | whisper | no | yes | no | no | https://github.com/ggerganov/whisper.cpp | https://github.com/ggerganov/whisper.cpp |
|
||||
|
||||
</details>
|
||||
|
||||
## Usage
|
||||
|
||||
> `LocalAI` comes by default as a container image. You can check out all the available images with corresponding tags [here](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest).
|
||||
|
||||
@@ -12,7 +12,7 @@ import (
|
||||
"github.com/rs/zerolog/log"
|
||||
)
|
||||
|
||||
func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16 bool, debug, disableMessage bool) *fiber.App {
|
||||
func App(configFile string, loader *model.ModelLoader, uploadLimitMB, threads, ctxSize int, f16 bool, debug, disableMessage bool) *fiber.App {
|
||||
zerolog.SetGlobalLevel(zerolog.InfoLevel)
|
||||
if debug {
|
||||
zerolog.SetGlobalLevel(zerolog.DebugLevel)
|
||||
@@ -20,6 +20,7 @@ func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16
|
||||
|
||||
// Return errors as JSON responses
|
||||
app := fiber.New(fiber.Config{
|
||||
BodyLimit: uploadLimitMB * 1024 * 1024, // this is the default limit of 4MB
|
||||
DisableStartupMessage: disableMessage,
|
||||
// Override default error handler
|
||||
ErrorHandler: func(ctx *fiber.Ctx, err error) error {
|
||||
|
||||
@@ -3,6 +3,8 @@ package api_test
|
||||
import (
|
||||
"context"
|
||||
"os"
|
||||
"path/filepath"
|
||||
"runtime"
|
||||
|
||||
. "github.com/go-skynet/LocalAI/api"
|
||||
"github.com/go-skynet/LocalAI/pkg/model"
|
||||
@@ -23,7 +25,7 @@ var _ = Describe("API test", func() {
|
||||
Context("API query", func() {
|
||||
BeforeEach(func() {
|
||||
modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
|
||||
app = App("", modelLoader, 1, 512, false, true, true)
|
||||
app = App("", modelLoader, 15, 1, 512, false, true, true)
|
||||
go app.Listen("127.0.0.1:9090")
|
||||
|
||||
defaultConfig := openai.DefaultConfig("")
|
||||
@@ -45,8 +47,7 @@ var _ = Describe("API test", func() {
|
||||
It("returns the models list", func() {
|
||||
models, err := client.ListModels(context.TODO())
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
Expect(len(models.Models)).To(Equal(3))
|
||||
Expect(models.Models[0].ID).To(Equal("testmodel"))
|
||||
Expect(len(models.Models)).To(Equal(7))
|
||||
})
|
||||
It("can generate completions", func() {
|
||||
resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "testmodel", Prompt: "abcdedfghikl"})
|
||||
@@ -79,15 +80,55 @@ var _ = Describe("API test", func() {
|
||||
It("returns errors", func() {
|
||||
_, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "foomodel", Prompt: "abcdedfghikl"})
|
||||
Expect(err).To(HaveOccurred())
|
||||
Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 9 errors occurred:"))
|
||||
Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 12 errors occurred:"))
|
||||
})
|
||||
It("transcribes audio", func() {
|
||||
if runtime.GOOS != "linux" {
|
||||
Skip("test supported only on linux")
|
||||
}
|
||||
resp, err := client.CreateTranscription(
|
||||
context.Background(),
|
||||
openai.AudioRequest{
|
||||
Model: openai.Whisper1,
|
||||
FilePath: filepath.Join(os.Getenv("TEST_DIR"), "audio.wav"),
|
||||
},
|
||||
)
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
Expect(resp.Text).To(ContainSubstring("This is the Micro Machine Man presenting"))
|
||||
})
|
||||
|
||||
It("calculate embeddings", func() {
|
||||
if runtime.GOOS != "linux" {
|
||||
Skip("test supported only on linux")
|
||||
}
|
||||
resp, err := client.CreateEmbeddings(
|
||||
context.Background(),
|
||||
openai.EmbeddingRequest{
|
||||
Model: openai.AdaEmbeddingV2,
|
||||
Input: []string{"sun", "cat"},
|
||||
},
|
||||
)
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
Expect(len(resp.Data[0].Embedding)).To(BeNumerically("==", 384))
|
||||
Expect(len(resp.Data[1].Embedding)).To(BeNumerically("==", 384))
|
||||
|
||||
sunEmbedding := resp.Data[0].Embedding
|
||||
resp2, err := client.CreateEmbeddings(
|
||||
context.Background(),
|
||||
openai.EmbeddingRequest{
|
||||
Model: openai.AdaEmbeddingV2,
|
||||
Input: []string{"sun"},
|
||||
},
|
||||
)
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
Expect(resp2.Data[0].Embedding).To(Equal(sunEmbedding))
|
||||
})
|
||||
})
|
||||
|
||||
Context("Config file", func() {
|
||||
BeforeEach(func() {
|
||||
modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
|
||||
app = App(os.Getenv("CONFIG_FILE"), modelLoader, 1, 512, false, true, true)
|
||||
app = App(os.Getenv("CONFIG_FILE"), modelLoader, 5, 1, 512, false, true, true)
|
||||
go app.Listen("127.0.0.1:9090")
|
||||
|
||||
defaultConfig := openai.DefaultConfig("")
|
||||
@@ -108,8 +149,7 @@ var _ = Describe("API test", func() {
|
||||
|
||||
models, err := client.ListModels(context.TODO())
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
Expect(len(models.Models)).To(Equal(5))
|
||||
Expect(models.Models[0].ID).To(Equal("testmodel"))
|
||||
Expect(len(models.Models)).To(Equal(9))
|
||||
})
|
||||
It("can generate chat completions from config file", func() {
|
||||
resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list1", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
|
||||
@@ -134,5 +174,6 @@ var _ = Describe("API test", func() {
|
||||
Expect(len(resp.Choices)).To(Equal(1))
|
||||
Expect(resp.Choices[0].Text).ToNot(BeEmpty())
|
||||
})
|
||||
|
||||
})
|
||||
})
|
||||
|
||||
@@ -409,14 +409,13 @@ func transcriptEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
|
||||
// retrieve the file data from the request
|
||||
file, err := c.FormFile("file")
|
||||
if err != nil {
|
||||
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
|
||||
return err
|
||||
}
|
||||
f, err := file.Open()
|
||||
if err != nil {
|
||||
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
|
||||
return err
|
||||
}
|
||||
defer f.Close()
|
||||
log.Debug().Msgf("Audio file: %+v", file)
|
||||
|
||||
dir, err := os.MkdirTemp("", "whisper")
|
||||
|
||||
@@ -428,26 +427,33 @@ func transcriptEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
|
||||
dst := filepath.Join(dir, path.Base(file.Filename))
|
||||
dstFile, err := os.Create(dst)
|
||||
if err != nil {
|
||||
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
|
||||
return err
|
||||
}
|
||||
|
||||
if _, err := io.Copy(dstFile, f); err != nil {
|
||||
log.Debug().Msgf("Audio file %+v - %+v - err %+v", file.Filename, dst, err)
|
||||
log.Debug().Msgf("Audio file copying error %+v - %+v - err %+v", file.Filename, dst, err)
|
||||
return err
|
||||
}
|
||||
|
||||
log.Debug().Msgf("Audio file copied to: %+v", dst)
|
||||
|
||||
whisperModel, err := loader.BackendLoader("whisper", config.Model, []llama.ModelOption{}, uint32(config.Threads))
|
||||
whisperModel, err := loader.BackendLoader(model.WhisperBackend, config.Model, []llama.ModelOption{}, uint32(config.Threads))
|
||||
if err != nil {
|
||||
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
|
||||
return err
|
||||
}
|
||||
|
||||
w := whisperModel.(whisper.Model)
|
||||
if whisperModel == nil {
|
||||
return fmt.Errorf("could not load whisper model")
|
||||
}
|
||||
|
||||
tr, err := whisperutil.Transcript(w, dst, input.Language)
|
||||
w, ok := whisperModel.(whisper.Model)
|
||||
if !ok {
|
||||
return fmt.Errorf("loader returned non-whisper object")
|
||||
}
|
||||
|
||||
tr, err := whisperutil.Transcript(w, dst, input.Language, uint(config.Threads))
|
||||
if err != nil {
|
||||
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
|
||||
return err
|
||||
}
|
||||
|
||||
log.Debug().Msgf("Trascribed: %+v", tr)
|
||||
|
||||
@@ -68,7 +68,7 @@ func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config)
|
||||
case *bert.Bert:
|
||||
fn = func() ([]float32, error) {
|
||||
if len(tokens) > 0 {
|
||||
return nil, fmt.Errorf("embeddings endpoint for this model supports only string")
|
||||
return model.TokenEmbeddings(tokens, bert.SetThreads(c.Threads))
|
||||
}
|
||||
return model.Embeddings(s, bert.SetThreads(c.Threads))
|
||||
}
|
||||
@@ -199,6 +199,78 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
|
||||
|
||||
return response, nil
|
||||
}
|
||||
case *gpt2.GPTNeoX:
|
||||
fn = func() (string, error) {
|
||||
// Generate the prediction using the language model
|
||||
predictOptions := []gpt2.PredictOption{
|
||||
gpt2.SetTemperature(c.Temperature),
|
||||
gpt2.SetTopP(c.TopP),
|
||||
gpt2.SetTopK(c.TopK),
|
||||
gpt2.SetTokens(c.Maxtokens),
|
||||
gpt2.SetThreads(c.Threads),
|
||||
}
|
||||
|
||||
if c.Batch != 0 {
|
||||
predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
|
||||
}
|
||||
|
||||
if c.Seed != 0 {
|
||||
predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
|
||||
}
|
||||
|
||||
return model.Predict(
|
||||
s,
|
||||
predictOptions...,
|
||||
)
|
||||
}
|
||||
case *gpt2.Replit:
|
||||
fn = func() (string, error) {
|
||||
// Generate the prediction using the language model
|
||||
predictOptions := []gpt2.PredictOption{
|
||||
gpt2.SetTemperature(c.Temperature),
|
||||
gpt2.SetTopP(c.TopP),
|
||||
gpt2.SetTopK(c.TopK),
|
||||
gpt2.SetTokens(c.Maxtokens),
|
||||
gpt2.SetThreads(c.Threads),
|
||||
}
|
||||
|
||||
if c.Batch != 0 {
|
||||
predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
|
||||
}
|
||||
|
||||
if c.Seed != 0 {
|
||||
predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
|
||||
}
|
||||
|
||||
return model.Predict(
|
||||
s,
|
||||
predictOptions...,
|
||||
)
|
||||
}
|
||||
case *gpt2.Starcoder:
|
||||
fn = func() (string, error) {
|
||||
// Generate the prediction using the language model
|
||||
predictOptions := []gpt2.PredictOption{
|
||||
gpt2.SetTemperature(c.Temperature),
|
||||
gpt2.SetTopP(c.TopP),
|
||||
gpt2.SetTopK(c.TopK),
|
||||
gpt2.SetTokens(c.Maxtokens),
|
||||
gpt2.SetThreads(c.Threads),
|
||||
}
|
||||
|
||||
if c.Batch != 0 {
|
||||
predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
|
||||
}
|
||||
|
||||
if c.Seed != 0 {
|
||||
predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
|
||||
}
|
||||
|
||||
return model.Predict(
|
||||
s,
|
||||
predictOptions...,
|
||||
)
|
||||
}
|
||||
case *gpt2.RedPajama:
|
||||
fn = func() (string, error) {
|
||||
// Generate the prediction using the language model
|
||||
|
||||
6
go.mod
6
go.mod
@@ -3,11 +3,11 @@ module github.com/go-skynet/LocalAI
|
||||
go 1.19
|
||||
|
||||
require (
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230510174014-07166da10cb2
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230509153812-1d17cd5bb37a
|
||||
github.com/go-audio/wav v1.1.0
|
||||
github.com/go-skynet/bloomz.cpp v0.0.0-20230510195113-ad7e89a0885f
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230510101404-7bb183b147ea
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230510124618-ec771ec71557
|
||||
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230509180201-d49823284cc6
|
||||
github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c
|
||||
github.com/go-skynet/go-llama.cpp v0.0.0-20230510072905-70593fccbe4b
|
||||
@@ -18,7 +18,7 @@ require (
|
||||
github.com/otiai10/copy v1.11.0
|
||||
github.com/otiai10/openaigo v1.1.0
|
||||
github.com/rs/zerolog v1.29.1
|
||||
github.com/sashabaranov/go-openai v1.9.3
|
||||
github.com/sashabaranov/go-openai v1.9.4
|
||||
github.com/swaggo/swag v1.16.1
|
||||
github.com/urfave/cli/v2 v2.25.3
|
||||
github.com/valyala/fasthttp v1.47.0
|
||||
|
||||
6
go.sum
6
go.sum
@@ -18,6 +18,8 @@ github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c
|
||||
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be h1:3Hic97PY6hcw/SY44RuR7kyONkxd744RFeRrqckzwNQ=
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230510174014-07166da10cb2 h1:YNbUAyIRtaLODitigJU1EM5ubmMu5FmHtYAayJD6Vbg=
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230510174014-07166da10cb2/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230508180809-bf2449dfae35 h1:sMg/SgnMPS/HNUO/2kGm72vl8R9TmNIwgLFr2TNwR3g=
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230508180809-bf2449dfae35/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230509153812-1d17cd5bb37a h1:MlyiDLNCM/wjbv8U5Elj18NvaAgl61SGiRUpqQz5dfs=
|
||||
@@ -44,6 +46,8 @@ github.com/go-skynet/bloomz.cpp v0.0.0-20230510195113-ad7e89a0885f h1:GW8RQa1RVe
|
||||
github.com/go-skynet/bloomz.cpp v0.0.0-20230510195113-ad7e89a0885f/go.mod h1:wc0fJ9V04yiYTfgKvE5RUUSRQ5Kzi0Bo4I+U3nNOUuA=
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230510101404-7bb183b147ea h1:8Isk9D+Auth5OuXVAQPC3MO+5zF/2S7mvs2JZLw6a+8=
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230510101404-7bb183b147ea/go.mod h1:NHwIVvsg7Jh6p0M4uBLVmSMEaPUia6O6yjXUpLWVJmQ=
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230510124618-ec771ec71557 h1:LD66fKtvP2lmyuuKL8pBat/pVTKUbLs3L5fM/5lyi4w=
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230510124618-ec771ec71557/go.mod h1:NHwIVvsg7Jh6p0M4uBLVmSMEaPUia6O6yjXUpLWVJmQ=
|
||||
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230509180201-d49823284cc6 h1:XshpypO6ekU09CI19vuzke2a1Es1lV5ZaxA7CUehu0E=
|
||||
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230509180201-d49823284cc6/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
|
||||
github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c h1:48I7jpLNGiQeBmF0SFVVbREh8vlG0zN13v9LH5ctXis=
|
||||
@@ -115,6 +119,8 @@ github.com/russross/blackfriday/v2 v2.1.0 h1:JIOH55/0cWyOuilr9/qlrm0BSXldqnqwMsf
|
||||
github.com/russross/blackfriday/v2 v2.1.0/go.mod h1:+Rmxgy9KzJVeS9/2gXHxylqXiyQDYRxCVz55jmeOWTM=
|
||||
github.com/sashabaranov/go-openai v1.9.3 h1:uNak3Rn5pPsKRs9bdT7RqRZEyej/zdZOEI2/8wvrFtM=
|
||||
github.com/sashabaranov/go-openai v1.9.3/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
|
||||
github.com/sashabaranov/go-openai v1.9.4 h1:KanoCEoowAI45jVXlenMCckutSRr39qOmSi9MyPBfZM=
|
||||
github.com/sashabaranov/go-openai v1.9.4/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
|
||||
github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94 h1:rmMl4fXJhKMNWl+K+r/fq4FbbKI+Ia2m9hYBLm2h4G4=
|
||||
github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94/go.mod h1:90zrgN3D/WJsDd1iXHT96alCoN2KJo6/4x1DZC3wZs8=
|
||||
github.com/savsgio/gotils v0.0.0-20220530130905-52f3993e8d6d/go.mod h1:Gy+0tqhJvgGlqnTF8CVGP0AaGRjwBtXs/a5PA0Y3+A4=
|
||||
|
||||
8
main.go
8
main.go
@@ -62,6 +62,12 @@ func main() {
|
||||
EnvVars: []string{"CONTEXT_SIZE"},
|
||||
Value: 512,
|
||||
},
|
||||
&cli.IntFlag{
|
||||
Name: "upload-limit",
|
||||
DefaultText: "Default upload-limit. MB",
|
||||
EnvVars: []string{"UPLOAD_LIMIT"},
|
||||
Value: 15,
|
||||
},
|
||||
},
|
||||
Description: `
|
||||
LocalAI is a drop-in replacement OpenAI API which runs inference locally.
|
||||
@@ -81,7 +87,7 @@ 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("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false).Listen(ctx.String("address"))
|
||||
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).Listen(ctx.String("address"))
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@@ -20,9 +20,12 @@ const tokenizerSuffix = ".tokenizer.json"
|
||||
const (
|
||||
LlamaBackend = "llama"
|
||||
BloomzBackend = "bloomz"
|
||||
StarcoderBackend = "starcoder"
|
||||
StableLMBackend = "stablelm"
|
||||
DollyBackend = "dolly"
|
||||
RedPajamaBackend = "redpajama"
|
||||
GPTNeoXBackend = "gptneox"
|
||||
ReplitBackend = "replit"
|
||||
Gpt2Backend = "gpt2"
|
||||
Gpt4AllLlamaBackend = "gpt4all-llama"
|
||||
Gpt4AllMptBackend = "gpt4all-mpt"
|
||||
@@ -44,7 +47,14 @@ var backends []string = []string{
|
||||
StableLMBackend,
|
||||
DollyBackend,
|
||||
RedPajamaBackend,
|
||||
GPTNeoXBackend,
|
||||
ReplitBackend,
|
||||
BertEmbeddingsBackend,
|
||||
StarcoderBackend,
|
||||
}
|
||||
|
||||
var starCoder = func(modelFile string) (interface{}, error) {
|
||||
return gpt2.NewStarcoder(modelFile)
|
||||
}
|
||||
|
||||
var redPajama = func(modelFile string) (interface{}, error) {
|
||||
@@ -55,6 +65,14 @@ var dolly = func(modelFile string) (interface{}, error) {
|
||||
return gpt2.NewDolly(modelFile)
|
||||
}
|
||||
|
||||
var gptNeoX = func(modelFile string) (interface{}, error) {
|
||||
return gpt2.NewGPTNeoX(modelFile)
|
||||
}
|
||||
|
||||
var replit = func(modelFile string) (interface{}, error) {
|
||||
return gpt2.NewReplit(modelFile)
|
||||
}
|
||||
|
||||
var stableLM = func(modelFile string) (interface{}, error) {
|
||||
return gpt2.NewStableLM(modelFile)
|
||||
}
|
||||
@@ -110,6 +128,12 @@ func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, lla
|
||||
return ml.LoadModel(modelFile, redPajama)
|
||||
case Gpt2Backend:
|
||||
return ml.LoadModel(modelFile, gpt2LM)
|
||||
case GPTNeoXBackend:
|
||||
return ml.LoadModel(modelFile, gptNeoX)
|
||||
case ReplitBackend:
|
||||
return ml.LoadModel(modelFile, replit)
|
||||
case StarcoderBackend:
|
||||
return ml.LoadModel(modelFile, starCoder)
|
||||
case Gpt4AllLlamaBackend:
|
||||
return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads)), gpt4all.SetModelType(gpt4all.LLaMAType)))
|
||||
case Gpt4AllMptBackend:
|
||||
|
||||
@@ -28,7 +28,7 @@ func audioToWav(src, dst string) error {
|
||||
return nil
|
||||
}
|
||||
|
||||
func Transcript(model whisper.Model, audiopath, language string) (string, error) {
|
||||
func Transcript(model whisper.Model, audiopath, language string, threads uint) (string, error) {
|
||||
|
||||
dir, err := os.MkdirTemp("", "whisper")
|
||||
if err != nil {
|
||||
@@ -65,8 +65,12 @@ func Transcript(model whisper.Model, audiopath, language string) (string, error)
|
||||
|
||||
}
|
||||
|
||||
context.SetThreads(threads)
|
||||
|
||||
if language != "" {
|
||||
context.SetLanguage(language)
|
||||
} else {
|
||||
context.SetLanguage("auto")
|
||||
}
|
||||
|
||||
if err := context.Process(data, nil); err != nil {
|
||||
|
||||
6
tests/fixtures/embeddings.yaml
vendored
Normal file
6
tests/fixtures/embeddings.yaml
vendored
Normal file
@@ -0,0 +1,6 @@
|
||||
name: text-embedding-ada-002
|
||||
parameters:
|
||||
model: bert
|
||||
threads: 14
|
||||
backend: bert-embeddings
|
||||
embeddings: true
|
||||
4
tests/fixtures/whisper.yaml
vendored
Normal file
4
tests/fixtures/whisper.yaml
vendored
Normal file
@@ -0,0 +1,4 @@
|
||||
name: whisper-1
|
||||
backend: whisper
|
||||
parameters:
|
||||
model: whisper-en
|
||||
Reference in New Issue
Block a user