gregandev
/
FlaskAI
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

feat: move llama to a grpc

Browse Source 
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
renovate/github.com-imdario-mergo-1.x
Ettore Di Giacinto 1 year ago
parent b816009db0
commit 58f6aab637
13 changed files with 454 additions and 340 deletions
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Show Stats Download Patch File Download Diff File
  1. 9
      Makefile
  2. 282
      api/prediction.go
  3. 25
      cmd/grpc/llama/main.go
  4. 11
      pkg/grpc/client.go
  5. 1
      pkg/grpc/interface.go
  6. 4
      pkg/grpc/llm/falcon/falcon.go
  7. 165
      pkg/grpc/llm/llama/llama.go
  8. 195
      pkg/grpc/proto/llmserver.pb.go
  9. 8
      pkg/grpc/proto/llmserver.proto
  10. 36
      pkg/grpc/proto/llmserver_grpc.pb.go
  11. 9
      pkg/grpc/server.go
  12. 15
      pkg/model/initializers.go
  13. 8
      pkg/model/options.go

9
Makefile
Unescape View File

@ -67,8 +67,8 @@ WHITE := $(shell tput -Txterm setaf 7)
CYAN := $(shell tput -Txterm setaf 6)
RESET := $(shell tput -Txterm sgr0)
C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-ggml-transformers:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
LIBRARY_PATH=$(shell pwd)/go-piper:$(shell pwd)/go-llama:$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-ggml-transformers:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
C_INCLUDE_PATH=$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-ggml-transformers:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
LIBRARY_PATH=$(shell pwd)/go-piper:$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-ggml-transformers:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
ifeq ($(BUILD_TYPE),openblas)
CGO_LDFLAGS+=-lopenblas
@ -369,5 +369,8 @@ falcon-grpc: backend-assets/grpc
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-ggllm LIBRARY_PATH=$(shell pwd)/go-ggllm \
$(GOCMD) build -x -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/falcon ./cmd/grpc/falcon/
llama-grpc: backend-assets/grpc
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-llama LIBRARY_PATH=$(shell pwd)/go-llama \
$(GOCMD) build -x -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/llama ./cmd/grpc/llama/
grpcs: falcon-grpc
grpcs: falcon-grpc llama-grpc

282
api/prediction.go
Unescape View File

@ -18,7 +18,6 @@ import (
"github.com/go-skynet/bloomz.cpp"
bert "github.com/go-skynet/go-bert.cpp"
transformers "github.com/go-skynet/go-ggml-transformers.cpp"
llama "github.com/go-skynet/go-llama.cpp"
gpt4all "github.com/nomic-ai/gpt4all/gpt4all-bindings/golang"
)
@ -36,6 +35,11 @@ func gRPCModelOpts(c Config) *pb.ModelOptions {
ContextSize: int32(c.ContextSize),
Seed: int32(c.Seed),
NBatch: int32(b),
F16Memory: c.F16,
MLock: c.MMlock,
NUMA: c.NUMA,
Embeddings: c.Embeddings,
LowVRAM: c.LowVRAM,
NGPULayers: int32(c.NGPULayers),
MMap: c.MMap,
MainGPU: c.MainGPU,
@ -43,32 +47,6 @@ func gRPCModelOpts(c Config) *pb.ModelOptions {
}
}
// func defaultGGLLMOpts(c Config) []ggllm.ModelOption {
// ggllmOpts := []ggllm.ModelOption{}
// if c.ContextSize != 0 {
// ggllmOpts = append(ggllmOpts, ggllm.SetContext(c.ContextSize))
// }
// // F16 doesn't seem to produce good output at all!
// //if c.F16 {
// // llamaOpts = append(llamaOpts, llama.EnableF16Memory)
// //}
// if c.NGPULayers != 0 {
// ggllmOpts = append(ggllmOpts, ggllm.SetGPULayers(c.NGPULayers))
// }
// ggllmOpts = append(ggllmOpts, ggllm.SetMMap(c.MMap))
// ggllmOpts = append(ggllmOpts, ggllm.SetMainGPU(c.MainGPU))
// ggllmOpts = append(ggllmOpts, ggllm.SetTensorSplit(c.TensorSplit))
// if c.Batch != 0 {
// ggllmOpts = append(ggllmOpts, ggllm.SetNBatch(c.Batch))
// } else {
// ggllmOpts = append(ggllmOpts, ggllm.SetNBatch(512))
// }
// return ggllmOpts
// }
func gRPCPredictOpts(c Config, modelPath string) *pb.PredictOptions {
promptCachePath := ""
if c.PromptCachePath != "" {
@ -85,6 +63,10 @@ func gRPCPredictOpts(c Config, modelPath string) *pb.PredictOptions {
PromptCacheAll: c.PromptCacheAll,
PromptCacheRO: c.PromptCacheRO,
PromptCachePath: promptCachePath,
F16KV: c.F16,
DebugMode: c.Debug,
Grammar: c.Grammar,
Mirostat: int32(c.Mirostat),
MirostatETA: float32(c.MirostatETA),
MirostatTAU: float32(c.MirostatTAU),
@ -105,200 +87,6 @@ func gRPCPredictOpts(c Config, modelPath string) *pb.PredictOptions {
}
}
// func buildGGLLMPredictOptions(c Config, modelPath string) []ggllm.PredictOption {
// // Generate the prediction using the language model
// predictOptions := []ggllm.PredictOption{
// ggllm.SetTemperature(c.Temperature),
// ggllm.SetTopP(c.TopP),
// ggllm.SetTopK(c.TopK),
// ggllm.SetTokens(c.Maxtokens),
// ggllm.SetThreads(c.Threads),
// }
// if c.PromptCacheAll {
// predictOptions = append(predictOptions, ggllm.EnablePromptCacheAll)
// }
// if c.PromptCacheRO {
// predictOptions = append(predictOptions, ggllm.EnablePromptCacheRO)
// }
// if c.PromptCachePath != "" {
// // Create parent directory
// p := filepath.Join(modelPath, c.PromptCachePath)
// os.MkdirAll(filepath.Dir(p), 0755)
// predictOptions = append(predictOptions, ggllm.SetPathPromptCache(p))
// }
// if c.Mirostat != 0 {
// predictOptions = append(predictOptions, ggllm.SetMirostat(c.Mirostat))
// }
// if c.MirostatETA != 0 {
// predictOptions = append(predictOptions, ggllm.SetMirostatETA(c.MirostatETA))
// }
// if c.MirostatTAU != 0 {
// predictOptions = append(predictOptions, ggllm.SetMirostatTAU(c.MirostatTAU))
// }
// if c.Debug {
// predictOptions = append(predictOptions, ggllm.Debug)
// }
// predictOptions = append(predictOptions, ggllm.SetStopWords(c.StopWords...))
// if c.RepeatPenalty != 0 {
// predictOptions = append(predictOptions, ggllm.SetPenalty(c.RepeatPenalty))
// }
// if c.Keep != 0 {
// predictOptions = append(predictOptions, ggllm.SetNKeep(c.Keep))
// }
// if c.Batch != 0 {
// predictOptions = append(predictOptions, ggllm.SetBatch(c.Batch))
// }
// if c.IgnoreEOS {
// predictOptions = append(predictOptions, ggllm.IgnoreEOS)
// }
// if c.Seed != 0 {
// predictOptions = append(predictOptions, ggllm.SetSeed(c.Seed))
// }
// //predictOptions = append(predictOptions, llama.SetLogitBias(c.Seed))
// predictOptions = append(predictOptions, ggllm.SetFrequencyPenalty(c.FrequencyPenalty))
// predictOptions = append(predictOptions, ggllm.SetMlock(c.MMlock))
// predictOptions = append(predictOptions, ggllm.SetMemoryMap(c.MMap))
// predictOptions = append(predictOptions, ggllm.SetPredictionMainGPU(c.MainGPU))
// predictOptions = append(predictOptions, ggllm.SetPredictionTensorSplit(c.TensorSplit))
// predictOptions = append(predictOptions, ggllm.SetTailFreeSamplingZ(c.TFZ))
// predictOptions = append(predictOptions, ggllm.SetTypicalP(c.TypicalP))
// return predictOptions
// }
func defaultLLamaOpts(c Config) []llama.ModelOption {
llamaOpts := []llama.ModelOption{}
if c.ContextSize != 0 {
llamaOpts = append(llamaOpts, llama.SetContext(c.ContextSize))
}
if c.F16 {
llamaOpts = append(llamaOpts, llama.EnableF16Memory)
}
if c.Embeddings {
llamaOpts = append(llamaOpts, llama.EnableEmbeddings)
}
if c.NGPULayers != 0 {
llamaOpts = append(llamaOpts, llama.SetGPULayers(c.NGPULayers))
}
llamaOpts = append(llamaOpts, llama.SetMMap(c.MMap))
llamaOpts = append(llamaOpts, llama.SetMainGPU(c.MainGPU))
llamaOpts = append(llamaOpts, llama.SetTensorSplit(c.TensorSplit))
if c.Batch != 0 {
llamaOpts = append(llamaOpts, llama.SetNBatch(c.Batch))
} else {
llamaOpts = append(llamaOpts, llama.SetNBatch(512))
}
if c.NUMA {
llamaOpts = append(llamaOpts, llama.EnableNUMA)
}
if c.LowVRAM {
llamaOpts = append(llamaOpts, llama.EnabelLowVRAM)
}
return llamaOpts
}
func buildLLamaPredictOptions(c Config, modelPath string) []llama.PredictOption {
// Generate the prediction using the language model
predictOptions := []llama.PredictOption{
llama.SetTemperature(c.Temperature),
llama.SetTopP(c.TopP),
llama.SetTopK(c.TopK),
llama.SetTokens(c.Maxtokens),
llama.SetThreads(c.Threads),
}
if c.PromptCacheAll {
predictOptions = append(predictOptions, llama.EnablePromptCacheAll)
}
if c.PromptCacheRO {
predictOptions = append(predictOptions, llama.EnablePromptCacheRO)
}
predictOptions = append(predictOptions, llama.WithGrammar(c.Grammar))
if c.PromptCachePath != "" {
// Create parent directory
p := filepath.Join(modelPath, c.PromptCachePath)
os.MkdirAll(filepath.Dir(p), 0755)
predictOptions = append(predictOptions, llama.SetPathPromptCache(p))
}
if c.Mirostat != 0 {
predictOptions = append(predictOptions, llama.SetMirostat(c.Mirostat))
}
if c.MirostatETA != 0 {
predictOptions = append(predictOptions, llama.SetMirostatETA(c.MirostatETA))
}
if c.MirostatTAU != 0 {
predictOptions = append(predictOptions, llama.SetMirostatTAU(c.MirostatTAU))
}
if c.Debug {
predictOptions = append(predictOptions, llama.Debug)
}
predictOptions = append(predictOptions, llama.SetStopWords(c.StopWords...))
if c.RepeatPenalty != 0 {
predictOptions = append(predictOptions, llama.SetPenalty(c.RepeatPenalty))
}
if c.Keep != 0 {
predictOptions = append(predictOptions, llama.SetNKeep(c.Keep))
}
if c.Batch != 0 {
predictOptions = append(predictOptions, llama.SetBatch(c.Batch))
}
if c.F16 {
predictOptions = append(predictOptions, llama.EnableF16KV)
}
if c.IgnoreEOS {
predictOptions = append(predictOptions, llama.IgnoreEOS)
}
if c.Seed != 0 {
predictOptions = append(predictOptions, llama.SetSeed(c.Seed))
}
//predictOptions = append(predictOptions, llama.SetLogitBias(c.Seed))
predictOptions = append(predictOptions, llama.SetFrequencyPenalty(c.FrequencyPenalty))
predictOptions = append(predictOptions, llama.SetMlock(c.MMlock))
predictOptions = append(predictOptions, llama.SetMemoryMap(c.MMap))
predictOptions = append(predictOptions, llama.SetPredictionMainGPU(c.MainGPU))
predictOptions = append(predictOptions, llama.SetPredictionTensorSplit(c.TensorSplit))
predictOptions = append(predictOptions, llama.SetTailFreeSamplingZ(c.TFZ))
predictOptions = append(predictOptions, llama.SetTypicalP(c.TypicalP))
return predictOptions
}
func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst string, loader *model.ModelLoader, c Config, o *Option) (func() error, error) {
if c.Backend != model.StableDiffusionBackend {
return nil, fmt.Errorf("endpoint only working with stablediffusion models")
@ -351,14 +139,12 @@ func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config,
modelFile := c.Model
llamaOpts := defaultLLamaOpts(c)
grpcOpts := gRPCModelOpts(c)
var inferenceModel interface{}
var err error
opts := []model.Option{
model.WithLlamaOpts(llamaOpts...),
model.WithLoadGRPCOpts(grpcOpts),
model.WithThreads(uint32(c.Threads)),
model.WithAssetDir(o.assetsDestination),
@ -377,14 +163,34 @@ func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config,
var fn func() ([]float32, error)
switch model := inferenceModel.(type) {
case *llama.LLama:
case *grpc.Client:
fn = func() ([]float32, error) {
predictOptions := buildLLamaPredictOptions(c, loader.ModelPath)
predictOptions := gRPCPredictOpts(c, loader.ModelPath)
if len(tokens) > 0 {
return model.TokenEmbeddings(tokens, predictOptions...)
embeds := []int32{}
for _, t := range tokens {
embeds = append(embeds, int32(t))
}
predictOptions.EmbeddingTokens = embeds
res, err := model.Embeddings(context.TODO(), predictOptions)
if err != nil {
return nil, err
}
return res.Embeddings, nil
}
predictOptions.Embeddings = s
res, err := model.Embeddings(context.TODO(), predictOptions)
if err != nil {
return nil, err
}
return model.Embeddings(s, predictOptions...)
return res.Embeddings, nil
}
// bert embeddings
case *bert.Bert:
fn = func() ([]float32, error) {
@ -432,14 +238,12 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, o *Option, to
supportStreams := false
modelFile := c.Model
llamaOpts := defaultLLamaOpts(c)
grpcOpts := gRPCModelOpts(c)
var inferenceModel interface{}
var err error
opts := []model.Option{
model.WithLlamaOpts(llamaOpts...),
model.WithLoadGRPCOpts(grpcOpts),
model.WithThreads(uint32(c.Threads)),
model.WithAssetDir(o.assetsDestination),
@ -708,26 +512,6 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, o *Option, to
predictOptions = append(predictOptions, gpt4all.SetBatch(c.Batch))
}
str, er := model.Predict(
s,
predictOptions...,
)
// Seems that if we don't free the callback explicitly we leave functions registered (that might try to send on closed channels)
// For instance otherwise the API returns: {"error":{"code":500,"message":"send on closed channel","type":""}}
// after a stream event has occurred
model.SetTokenCallback(nil)
return str, er
}
case *llama.LLama:
supportStreams = true
fn = func() (string, error) {
if tokenCallback != nil {
model.SetTokenCallback(tokenCallback)
}
predictOptions := buildLLamaPredictOptions(c, loader.ModelPath)
str, er := model.Predict(
s,
predictOptions...,

25
cmd/grpc/llama/main.go
Unescape View File

@ -0,0 +1,25 @@
package main
// GRPC Falcon server
// Note: this is started internally by LocalAI and a server is allocated for each model
import (
"flag"
llama "github.com/go-skynet/LocalAI/pkg/grpc/llm/llama"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
)
var (
addr = flag.String("addr", "localhost:50051", "the address to connect to")
)
func main() {
flag.Parse()
if err := grpc.StartServer(*addr, &llama.LLM{}); err != nil {
panic(err)
}
}

11
pkg/grpc/client.go
Unescape View File

@ -47,6 +47,17 @@ func (c *Client) HealthCheck(ctx context.Context) bool {
return false
}
func (c *Client) Embeddings(ctx context.Context, in *pb.PredictOptions, opts ...grpc.CallOption) (*pb.EmbeddingResult, error) {
conn, err := grpc.Dial(c.address, grpc.WithTransportCredentials(insecure.NewCredentials()))
if err != nil {
return nil, err
}
defer conn.Close()
client := pb.NewLLMClient(conn)
return client.Embedding(ctx, in, opts...)
}
func (c *Client) Predict(ctx context.Context, in *pb.PredictOptions, opts ...grpc.CallOption) (*pb.Reply, error) {
conn, err := grpc.Dial(c.address, grpc.WithTransportCredentials(insecure.NewCredentials()))
if err != nil {

1
pkg/grpc/interface.go
Unescape View File

@ -8,4 +8,5 @@ type LLM interface {
Predict(*pb.PredictOptions) (string, error)
PredictStream(*pb.PredictOptions, chan string)
Load(*pb.ModelOptions) error
Embeddings(*pb.PredictOptions) ([]float32, error)
}

4
pkg/grpc/llm/falcon/falcon.go
Unescape View File

@ -42,6 +42,10 @@ func (llm *LLM) Load(opts *pb.ModelOptions) error {
return err
}
func (llm *LLM) Embeddings(opts *pb.PredictOptions) ([]float32, error) {
return nil, fmt.Errorf("not implemented")
}
func buildPredictOptions(opts *pb.PredictOptions) []ggllm.PredictOption {
predictOptions := []ggllm.PredictOption{
ggllm.SetTemperature(float64(opts.Temperature)),

165
pkg/grpc/llm/llama/llama.go
Unescape View File

@ -0,0 +1,165 @@
package llama
// This is a wrapper to statisfy the GRPC service interface
// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
import (
"fmt"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/go-llama.cpp"
)
type LLM struct {
llama *llama.LLama
}
func (llm *LLM) Load(opts *pb.ModelOptions) error {
llamaOpts := []llama.ModelOption{}
if opts.ContextSize != 0 {
llamaOpts = append(llamaOpts, llama.SetContext(int(opts.ContextSize)))
}
if opts.F16Memory {
llamaOpts = append(llamaOpts, llama.EnableF16Memory)
}
if opts.Embeddings {
llamaOpts = append(llamaOpts, llama.EnableEmbeddings)
}
if opts.NGPULayers != 0 {
llamaOpts = append(llamaOpts, llama.SetGPULayers(int(opts.NGPULayers)))
}
llamaOpts = append(llamaOpts, llama.SetMMap(opts.MMap))
llamaOpts = append(llamaOpts, llama.SetMainGPU(opts.MainGPU))
llamaOpts = append(llamaOpts, llama.SetTensorSplit(opts.TensorSplit))
if opts.NBatch != 0 {
llamaOpts = append(llamaOpts, llama.SetNBatch(int(opts.NBatch)))
} else {
llamaOpts = append(llamaOpts, llama.SetNBatch(512))
}
if opts.NUMA {
llamaOpts = append(llamaOpts, llama.EnableNUMA)
}
if opts.LowVRAM {
llamaOpts = append(llamaOpts, llama.EnabelLowVRAM)
}
model, err := llama.New(opts.Model, llamaOpts...)
llm.llama = model
return err
}
func buildPredictOptions(opts *pb.PredictOptions) []llama.PredictOption {
predictOptions := []llama.PredictOption{
llama.SetTemperature(float64(opts.Temperature)),
llama.SetTopP(float64(opts.TopP)),
llama.SetTopK(int(opts.TopK)),
llama.SetTokens(int(opts.Tokens)),
llama.SetThreads(int(opts.Threads)),
}
if opts.PromptCacheAll {
predictOptions = append(predictOptions, llama.EnablePromptCacheAll)
}
if opts.PromptCacheRO {
predictOptions = append(predictOptions, llama.EnablePromptCacheRO)
}
predictOptions = append(predictOptions, llama.WithGrammar(opts.Grammar))
// Expected absolute path
if opts.PromptCachePath != "" {
predictOptions = append(predictOptions, llama.SetPathPromptCache(opts.PromptCachePath))
}
if opts.Mirostat != 0 {
predictOptions = append(predictOptions, llama.SetMirostat(int(opts.Mirostat)))
}
if opts.MirostatETA != 0 {
predictOptions = append(predictOptions, llama.SetMirostatETA(float64(opts.MirostatETA)))
}
if opts.MirostatTAU != 0 {
predictOptions = append(predictOptions, llama.SetMirostatTAU(float64(opts.MirostatTAU)))
}
if opts.Debug {
predictOptions = append(predictOptions, llama.Debug)
}
predictOptions = append(predictOptions, llama.SetStopWords(opts.StopPrompts...))
if opts.PresencePenalty != 0 {
predictOptions = append(predictOptions, llama.SetPenalty(float64(opts.PresencePenalty)))
}
if opts.NKeep != 0 {
predictOptions = append(predictOptions, llama.SetNKeep(int(opts.NKeep)))
}
if opts.Batch != 0 {
predictOptions = append(predictOptions, llama.SetBatch(int(opts.Batch)))
}
if opts.F16KV {
predictOptions = append(predictOptions, llama.EnableF16KV)
}
if opts.IgnoreEOS {
predictOptions = append(predictOptions, llama.IgnoreEOS)
}
if opts.Seed != 0 {
predictOptions = append(predictOptions, llama.SetSeed(int(opts.Seed)))
}
//predictOptions = append(predictOptions, llama.SetLogitBias(c.Seed))
predictOptions = append(predictOptions, llama.SetFrequencyPenalty(float64(opts.FrequencyPenalty)))
predictOptions = append(predictOptions, llama.SetMlock(opts.MLock))
predictOptions = append(predictOptions, llama.SetMemoryMap(opts.MMap))
predictOptions = append(predictOptions, llama.SetPredictionMainGPU(opts.MainGPU))
predictOptions = append(predictOptions, llama.SetPredictionTensorSplit(opts.TensorSplit))
predictOptions = append(predictOptions, llama.SetTailFreeSamplingZ(float64(opts.TailFreeSamplingZ)))
predictOptions = append(predictOptions, llama.SetTypicalP(float64(opts.TypicalP)))
return predictOptions
}
func (llm *LLM) Predict(opts *pb.PredictOptions) (string, error) {
return llm.llama.Predict(opts.Prompt, buildPredictOptions(opts)...)
}
func (llm *LLM) PredictStream(opts *pb.PredictOptions, results chan string) {
predictOptions := buildPredictOptions(opts)
predictOptions = append(predictOptions, llama.SetTokenCallback(func(token string) bool {
results <- token
return true
}))
go func() {
_, err := llm.llama.Predict(opts.Prompt, predictOptions...)
if err != nil {
fmt.Println("err: ", err)
}
close(results)
}()
}
func (llm *LLM) Embeddings(opts *pb.PredictOptions) ([]float32, error) {
predictOptions := buildPredictOptions(opts)
if len(opts.EmbeddingTokens) > 0 {
tokens := []int{}
for _, t := range opts.EmbeddingTokens {
tokens = append(tokens, int(t))
}
return llm.llama.TokenEmbeddings(tokens, predictOptions...)
}
return llm.llama.Embeddings(opts.Embeddings, predictOptions...)
}

195
pkg/grpc/proto/llmserver.pb.go
Unescape View File

@ -87,7 +87,6 @@ type PredictOptions struct {
MirostatTAU float32 `protobuf:"fixed32,21,opt,name=MirostatTAU,proto3" json:"MirostatTAU,omitempty"`
PenalizeNL bool `protobuf:"varint,22,opt,name=PenalizeNL,proto3" json:"PenalizeNL,omitempty"`
LogitBias string `protobuf:"bytes,23,opt,name=LogitBias,proto3" json:"LogitBias,omitempty"`
PathPromptCache string `protobuf:"bytes,24,opt,name=PathPromptCache,proto3" json:"PathPromptCache,omitempty"`
MLock bool `protobuf:"varint,25,opt,name=MLock,proto3" json:"MLock,omitempty"`
MMap bool `protobuf:"varint,26,opt,name=MMap,proto3" json:"MMap,omitempty"`
PromptCacheAll bool `protobuf:"varint,27,opt,name=PromptCacheAll,proto3" json:"PromptCacheAll,omitempty"`
@ -98,6 +97,8 @@ type PredictOptions struct {
TopP float32 `protobuf:"fixed32,32,opt,name=TopP,proto3" json:"TopP,omitempty"`
PromptCachePath string `protobuf:"bytes,33,opt,name=PromptCachePath,proto3" json:"PromptCachePath,omitempty"`
Debug bool `protobuf:"varint,34,opt,name=Debug,proto3" json:"Debug,omitempty"`
EmbeddingTokens []int32 `protobuf:"varint,35,rep,packed,name=EmbeddingTokens,proto3" json:"EmbeddingTokens,omitempty"`
Embeddings string `protobuf:"bytes,36,opt,name=Embeddings,proto3" json:"Embeddings,omitempty"`
}
func (x *PredictOptions) Reset() {
@ -293,13 +294,6 @@ func (x *PredictOptions) GetLogitBias() string {
return ""
}
func (x *PredictOptions) GetPathPromptCache() string {
if x != nil {
return x.PathPromptCache
}
return ""
}
func (x *PredictOptions) GetMLock() bool {
if x != nil {
return x.MLock
@ -370,6 +364,20 @@ func (x *PredictOptions) GetDebug() bool {
return false
}
func (x *PredictOptions) GetEmbeddingTokens() []int32 {
if x != nil {
return x.EmbeddingTokens
}
return nil
}
func (x *PredictOptions) GetEmbeddings() string {
if x != nil {
return x.Embeddings
}
return ""
}
// The response message containing the result
type Reply struct {
state protoimpl.MessageState
@ -624,13 +632,60 @@ func (x *Result) GetSuccess() bool {
return false
}
type EmbeddingResult struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
Embeddings []float32 `protobuf:"fixed32,1,rep,packed,name=embeddings,proto3" json:"embeddings,omitempty"`
}
func (x *EmbeddingResult) Reset() {
*x = EmbeddingResult{}
if protoimpl.UnsafeEnabled {
mi := &file_pkg_grpc_proto_llmserver_proto_msgTypes[5]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *EmbeddingResult) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*EmbeddingResult) ProtoMessage() {}
func (x *EmbeddingResult) ProtoReflect() protoreflect.Message {
mi := &file_pkg_grpc_proto_llmserver_proto_msgTypes[5]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use EmbeddingResult.ProtoReflect.Descriptor instead.
func (*EmbeddingResult) Descriptor() ([]byte, []int) {
return file_pkg_grpc_proto_llmserver_proto_rawDescGZIP(), []int{5}
}
func (x *EmbeddingResult) GetEmbeddings() []float32 {
if x != nil {
return x.Embeddings
}
return nil
}
var File_pkg_grpc_proto_llmserver_proto protoreflect.FileDescriptor
var file_pkg_grpc_proto_llmserver_proto_rawDesc = []byte{
0x0a, 0x1e, 0x70, 0x6b, 0x67, 0x2f, 0x67, 0x72, 0x70, 0x63, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f,
0x2f, 0x6c, 0x6c, 0x6d, 0x73, 0x65, 0x72, 0x76, 0x65, 0x72, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f,
0x12, 0x03, 0x6c, 0x6c, 0x6d, 0x22, 0x0f, 0x0a, 0x0d, 0x48, 0x65, 0x61, 0x6c, 0x74, 0x68, 0x4d,
0x65, 0x73, 0x73, 0x61, 0x67, 0x65, 0x22, 0x80, 0x08, 0x0a, 0x0e, 0x50, 0x72, 0x65, 0x64, 0x69,
0x65, 0x73, 0x73, 0x61, 0x67, 0x65, 0x22, 0xa0, 0x08, 0x0a, 0x0e, 0x50, 0x72, 0x65, 0x64, 0x69,
0x63, 0x74, 0x4f, 0x70, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x12, 0x16, 0x0a, 0x06, 0x50, 0x72, 0x6f,
0x6d, 0x70, 0x74, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x52, 0x06, 0x50, 0x72, 0x6f, 0x6d, 0x70,
0x74, 0x12, 0x12, 0x0a, 0x04, 0x53, 0x65, 0x65, 0x64, 0x18, 0x02, 0x20, 0x01, 0x28, 0x05, 0x52,
@ -673,28 +728,30 @@ var file_pkg_grpc_proto_llmserver_proto_rawDesc = []byte{
0x1e, 0x0a, 0x0a, 0x50, 0x65, 0x6e, 0x61, 0x6c, 0x69, 0x7a, 0x65, 0x4e, 0x4c, 0x18, 0x16, 0x20,
0x01, 0x28, 0x08, 0x52, 0x0a, 0x50, 0x65, 0x6e, 0x61, 0x6c, 0x69, 0x7a, 0x65, 0x4e, 0x4c, 0x12,
0x1c, 0x0a, 0x09, 0x4c, 0x6f, 0x67, 0x69, 0x74, 0x42, 0x69, 0x61, 0x73, 0x18, 0x17, 0x20, 0x01,
0x28, 0x09, 0x52, 0x09, 0x4c, 0x6f, 0x67, 0x69, 0x74, 0x42, 0x69, 0x61, 0x73, 0x12, 0x28, 0x0a,
0x0f, 0x50, 0x61, 0x74, 0x68, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x43, 0x61, 0x63, 0x68, 0x65,
0x18, 0x18, 0x20, 0x01, 0x28, 0x09, 0x52, 0x0f, 0x50, 0x61, 0x74, 0x68, 0x50, 0x72, 0x6f, 0x6d,
0x70, 0x74, 0x43, 0x61, 0x63, 0x68, 0x65, 0x12, 0x14, 0x0a, 0x05, 0x4d, 0x4c, 0x6f, 0x63, 0x6b,
0x18, 0x19, 0x20, 0x01, 0x28, 0x08, 0x52, 0x05, 0x4d, 0x4c, 0x6f, 0x63, 0x6b, 0x12, 0x12, 0x0a,
0x04, 0x4d, 0x4d, 0x61, 0x70, 0x18, 0x1a, 0x20, 0x01, 0x28, 0x08, 0x52, 0x04, 0x4d, 0x4d, 0x61,
0x70, 0x12, 0x26, 0x0a, 0x0e, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x43, 0x61, 0x63, 0x68, 0x65,
0x41, 0x6c, 0x6c, 0x18, 0x1b, 0x20, 0x01, 0x28, 0x08, 0x52, 0x0e, 0x50, 0x72, 0x6f, 0x6d, 0x70,
0x74, 0x43, 0x61, 0x63, 0x68, 0x65, 0x41, 0x6c, 0x6c, 0x12, 0x24, 0x0a, 0x0d, 0x50, 0x72, 0x6f,
0x6d, 0x70, 0x74, 0x43, 0x61, 0x63, 0x68, 0x65, 0x52, 0x4f, 0x18, 0x1c, 0x20, 0x01, 0x28, 0x08,
0x52, 0x0d, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x43, 0x61, 0x63, 0x68, 0x65, 0x52, 0x4f, 0x12,
0x18, 0x0a, 0x07, 0x47, 0x72, 0x61, 0x6d, 0x6d, 0x61, 0x72, 0x18, 0x1d, 0x20, 0x01, 0x28, 0x09,
0x52, 0x07, 0x47, 0x72, 0x61, 0x6d, 0x6d, 0x61, 0x72, 0x12, 0x18, 0x0a, 0x07, 0x4d, 0x61, 0x69,
0x6e, 0x47, 0x50, 0x55, 0x18, 0x1e, 0x20, 0x01, 0x28, 0x09, 0x52, 0x07, 0x4d, 0x61, 0x69, 0x6e,
0x47, 0x50, 0x55, 0x12, 0x20, 0x0a, 0x0b, 0x54, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x53, 0x70, 0x6c,
0x69, 0x74, 0x18, 0x1f, 0x20, 0x01, 0x28, 0x09, 0x52, 0x0b, 0x54, 0x65, 0x6e, 0x73, 0x6f, 0x72,
0x53, 0x70, 0x6c, 0x69, 0x74, 0x12, 0x12, 0x0a, 0x04, 0x54, 0x6f, 0x70, 0x50, 0x18, 0x20, 0x20,
0x01, 0x28, 0x02, 0x52, 0x04, 0x54, 0x6f, 0x70, 0x50, 0x12, 0x28, 0x0a, 0x0f, 0x50, 0x72, 0x6f,
0x6d, 0x70, 0x74, 0x43, 0x61, 0x63, 0x68, 0x65, 0x50, 0x61, 0x74, 0x68, 0x18, 0x21, 0x20, 0x01,
0x28, 0x09, 0x52, 0x0f, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x43, 0x61, 0x63, 0x68, 0x65, 0x50,
0x61, 0x74, 0x68, 0x12, 0x14, 0x0a, 0x05, 0x44, 0x65, 0x62, 0x75, 0x67, 0x18, 0x22, 0x20, 0x01,
0x28, 0x08, 0x52, 0x05, 0x44, 0x65, 0x62, 0x75, 0x67, 0x22, 0x21, 0x0a, 0x05, 0x52, 0x65, 0x70,
0x28, 0x09, 0x52, 0x09, 0x4c, 0x6f, 0x67, 0x69, 0x74, 0x42, 0x69, 0x61, 0x73, 0x12, 0x14, 0x0a,
0x05, 0x4d, 0x4c, 0x6f, 0x63, 0x6b, 0x18, 0x19, 0x20, 0x01, 0x28, 0x08, 0x52, 0x05, 0x4d, 0x4c,
0x6f, 0x63, 0x6b, 0x12, 0x12, 0x0a, 0x04, 0x4d, 0x4d, 0x61, 0x70, 0x18, 0x1a, 0x20, 0x01, 0x28,
0x08, 0x52, 0x04, 0x4d, 0x4d, 0x61, 0x70, 0x12, 0x26, 0x0a, 0x0e, 0x50, 0x72, 0x6f, 0x6d, 0x70,
0x74, 0x43, 0x61, 0x63, 0x68, 0x65, 0x41, 0x6c, 0x6c, 0x18, 0x1b, 0x20, 0x01, 0x28, 0x08, 0x52,
0x0e, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x43, 0x61, 0x63, 0x68, 0x65, 0x41, 0x6c, 0x6c, 0x12,
0x24, 0x0a, 0x0d, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x43, 0x61, 0x63, 0x68, 0x65, 0x52, 0x4f,
0x18, 0x1c, 0x20, 0x01, 0x28, 0x08, 0x52, 0x0d, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x43, 0x61,
0x63, 0x68, 0x65, 0x52, 0x4f, 0x12, 0x18, 0x0a, 0x07, 0x47, 0x72, 0x61, 0x6d, 0x6d, 0x61, 0x72,
0x18, 0x1d, 0x20, 0x01, 0x28, 0x09, 0x52, 0x07, 0x47, 0x72, 0x61, 0x6d, 0x6d, 0x61, 0x72, 0x12,
0x18, 0x0a, 0x07, 0x4d, 0x61, 0x69, 0x6e, 0x47, 0x50, 0x55, 0x18, 0x1e, 0x20, 0x01, 0x28, 0x09,
0x52, 0x07, 0x4d, 0x61, 0x69, 0x6e, 0x47, 0x50, 0x55, 0x12, 0x20, 0x0a, 0x0b, 0x54, 0x65, 0x6e,
0x73, 0x6f, 0x72, 0x53, 0x70, 0x6c, 0x69, 0x74, 0x18, 0x1f, 0x20, 0x01, 0x28, 0x09, 0x52, 0x0b,
0x54, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x53, 0x70, 0x6c, 0x69, 0x74, 0x12, 0x12, 0x0a, 0x04, 0x54,
0x6f, 0x70, 0x50, 0x18, 0x20, 0x20, 0x01, 0x28, 0x02, 0x52, 0x04, 0x54, 0x6f, 0x70, 0x50, 0x12,
0x28, 0x0a, 0x0f, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x43, 0x61, 0x63, 0x68, 0x65, 0x50, 0x61,
0x74, 0x68, 0x18, 0x21, 0x20, 0x01, 0x28, 0x09, 0x52, 0x0f, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74,
0x43, 0x61, 0x63, 0x68, 0x65, 0x50, 0x61, 0x74, 0x68, 0x12, 0x14, 0x0a, 0x05, 0x44, 0x65, 0x62,
0x75, 0x67, 0x18, 0x22, 0x20, 0x01, 0x28, 0x08, 0x52, 0x05, 0x44, 0x65, 0x62, 0x75, 0x67, 0x12,
0x28, 0x0a, 0x0f, 0x45, 0x6d, 0x62, 0x65, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x54, 0x6f, 0x6b, 0x65,
0x6e, 0x73, 0x18, 0x23, 0x20, 0x03, 0x28, 0x05, 0x52, 0x0f, 0x45, 0x6d, 0x62, 0x65, 0x64, 0x64,
0x69, 0x6e, 0x67, 0x54, 0x6f, 0x6b, 0x65, 0x6e, 0x73, 0x12, 0x1e, 0x0a, 0x0a, 0x45, 0x6d, 0x62,
0x65, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x73, 0x18, 0x24, 0x20, 0x01, 0x28, 0x09, 0x52, 0x0a, 0x45,
0x6d, 0x62, 0x65, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x73, 0x22, 0x21, 0x0a, 0x05, 0x52, 0x65, 0x70,
0x6c, 0x79, 0x12, 0x18, 0x0a, 0x07, 0x6d, 0x65, 0x73, 0x73, 0x61, 0x67, 0x65, 0x18, 0x01, 0x20,
0x01, 0x28, 0x09, 0x52, 0x07, 0x6d, 0x65, 0x73, 0x73, 0x61, 0x67, 0x65, 0x22, 0x82, 0x03, 0x0a,
0x0c, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x4f, 0x70, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x12, 0x14, 0x0a,
@ -724,26 +781,33 @@ var file_pkg_grpc_proto_llmserver_proto_rawDesc = []byte{
0x74, 0x22, 0x3c, 0x0a, 0x06, 0x52, 0x65, 0x73, 0x75, 0x6c, 0x74, 0x12, 0x18, 0x0a, 0x07, 0x6d,
0x65, 0x73, 0x73, 0x61, 0x67, 0x65, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x52, 0x07, 0x6d, 0x65,
0x73, 0x73, 0x61, 0x67, 0x65, 0x12, 0x18, 0x0a, 0x07, 0x73, 0x75, 0x63, 0x63, 0x65, 0x73, 0x73,
0x18, 0x02, 0x20, 0x01, 0x28, 0x08, 0x52, 0x07, 0x73, 0x75, 0x63, 0x63, 0x65, 0x73, 0x73, 0x32,
0xc4, 0x01, 0x0a, 0x03, 0x4c, 0x4c, 0x4d, 0x12, 0x2a, 0x0a, 0x06, 0x48, 0x65, 0x61, 0x6c, 0x74,
0x68, 0x12, 0x12, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x48, 0x65, 0x61, 0x6c, 0x74, 0x68, 0x4d, 0x65,
0x73, 0x73, 0x61, 0x67, 0x65, 0x1a, 0x0a, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x52, 0x65, 0x70, 0x6c,
0x79, 0x22, 0x00, 0x12, 0x2c, 0x0a, 0x07, 0x50, 0x72, 0x65, 0x64, 0x69, 0x63, 0x74, 0x12, 0x13,
0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x50, 0x72, 0x65, 0x64, 0x69, 0x63, 0x74, 0x4f, 0x70, 0x74, 0x69,
0x6f, 0x6e, 0x73, 0x1a, 0x0a, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x52, 0x65, 0x70, 0x6c, 0x79, 0x22,
0x00, 0x12, 0x2d, 0x0a, 0x09, 0x4c, 0x6f, 0x61, 0x64, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x12, 0x11,
0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x4f, 0x70, 0x74, 0x69, 0x6f, 0x6e,
0x73, 0x1a, 0x0b, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x52, 0x65, 0x73, 0x75, 0x6c, 0x74, 0x22, 0x00,
0x12, 0x34, 0x0a, 0x0d, 0x50, 0x72, 0x65, 0x64, 0x69, 0x63, 0x74, 0x53, 0x74, 0x72, 0x65, 0x61,
0x6d, 0x12, 0x13, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x50, 0x72, 0x65, 0x64, 0x69, 0x63, 0x74, 0x4f,
0x18, 0x02, 0x20, 0x01, 0x28, 0x08, 0x52, 0x07, 0x73, 0x75, 0x63, 0x63, 0x65, 0x73, 0x73, 0x22,
0x31, 0x0a, 0x0f, 0x45, 0x6d, 0x62, 0x65, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x52, 0x65, 0x73, 0x75,
0x6c, 0x74, 0x12, 0x1e, 0x0a, 0x0a, 0x65, 0x6d, 0x62, 0x65, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x73,
0x18, 0x01, 0x20, 0x03, 0x28, 0x02, 0x52, 0x0a, 0x65, 0x6d, 0x62, 0x65, 0x64, 0x64, 0x69, 0x6e,
0x67, 0x73, 0x32, 0xfe, 0x01, 0x0a, 0x03, 0x4c, 0x4c, 0x4d, 0x12, 0x2a, 0x0a, 0x06, 0x48, 0x65,
0x61, 0x6c, 0x74, 0x68, 0x12, 0x12, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x48, 0x65, 0x61, 0x6c, 0x74,
0x68, 0x4d, 0x65, 0x73, 0x73, 0x61, 0x67, 0x65, 0x1a, 0x0a, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x52,
0x65, 0x70, 0x6c, 0x79, 0x22, 0x00, 0x12, 0x2c, 0x0a, 0x07, 0x50, 0x72, 0x65, 0x64, 0x69, 0x63,
0x74, 0x12, 0x13, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x50, 0x72, 0x65, 0x64, 0x69, 0x63, 0x74, 0x4f,
0x70, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x1a, 0x0a, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x52, 0x65, 0x70,
0x6c, 0x79, 0x22, 0x00, 0x30, 0x01, 0x42, 0x57, 0x0a, 0x1b, 0x69, 0x6f, 0x2e, 0x73, 0x6b, 0x79,
0x6e, 0x65, 0x74, 0x2e, 0x6c, 0x6f, 0x63, 0x61, 0x6c, 0x61, 0x69, 0x2e, 0x6c, 0x6c, 0x6d, 0x73,
0x65, 0x72, 0x76, 0x65, 0x72, 0x42, 0x09, 0x4c, 0x4c, 0x4d, 0x53, 0x65, 0x72, 0x76, 0x65, 0x72,
0x50, 0x01, 0x5a, 0x2b, 0x67, 0x69, 0x74, 0x68, 0x75, 0x62, 0x2e, 0x63, 0x6f, 0x6d, 0x2f, 0x67,
0x6f, 0x2d, 0x73, 0x6b, 0x79, 0x6e, 0x65, 0x74, 0x2f, 0x4c, 0x6f, 0x63, 0x61, 0x6c, 0x41, 0x49,
0x2f, 0x70, 0x6b, 0x67, 0x2f, 0x67, 0x72, 0x70, 0x63, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62,
0x06, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x33,
0x6c, 0x79, 0x22, 0x00, 0x12, 0x2d, 0x0a, 0x09, 0x4c, 0x6f, 0x61, 0x64, 0x4d, 0x6f, 0x64, 0x65,
0x6c, 0x12, 0x11, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x4f, 0x70, 0x74,
0x69, 0x6f, 0x6e, 0x73, 0x1a, 0x0b, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x52, 0x65, 0x73, 0x75, 0x6c,
0x74, 0x22, 0x00, 0x12, 0x34, 0x0a, 0x0d, 0x50, 0x72, 0x65, 0x64, 0x69, 0x63, 0x74, 0x53, 0x74,
0x72, 0x65, 0x61, 0x6d, 0x12, 0x13, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x50, 0x72, 0x65, 0x64, 0x69,
0x63, 0x74, 0x4f, 0x70, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x1a, 0x0a, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e,
0x52, 0x65, 0x70, 0x6c, 0x79, 0x22, 0x00, 0x30, 0x01, 0x12, 0x38, 0x0a, 0x09, 0x45, 0x6d, 0x62,
0x65, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x12, 0x13, 0x2e, 0x6c, 0x6c, 0x6d, 0x2e, 0x50, 0x72, 0x65,
0x64, 0x69, 0x63, 0x74, 0x4f, 0x70, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x1a, 0x14, 0x2e, 0x6c, 0x6c,
0x6d, 0x2e, 0x45, 0x6d, 0x62, 0x65, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x52, 0x65, 0x73, 0x75, 0x6c,
0x74, 0x22, 0x00, 0x42, 0x57, 0x0a, 0x1b, 0x69, 0x6f, 0x2e, 0x73, 0x6b, 0x79, 0x6e, 0x65, 0x74,
0x2e, 0x6c, 0x6f, 0x63, 0x61, 0x6c, 0x61, 0x69, 0x2e, 0x6c, 0x6c, 0x6d, 0x73, 0x65, 0x72, 0x76,
0x65, 0x72, 0x42, 0x09, 0x4c, 0x4c, 0x4d, 0x53, 0x65, 0x72, 0x76, 0x65, 0x72, 0x50, 0x01, 0x5a,
0x2b, 0x67, 0x69, 0x74, 0x68, 0x75, 0x62, 0x2e, 0x63, 0x6f, 0x6d, 0x2f, 0x67, 0x6f, 0x2d, 0x73,
0x6b, 0x79, 0x6e, 0x65, 0x74, 0x2f, 0x4c, 0x6f, 0x63, 0x61, 0x6c, 0x41, 0x49, 0x2f, 0x70, 0x6b,
0x67, 0x2f, 0x67, 0x72, 0x70, 0x63, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x06, 0x70, 0x72,
0x6f, 0x74, 0x6f, 0x33,
}
var (
@ -758,25 +822,28 @@ func file_pkg_grpc_proto_llmserver_proto_rawDescGZIP() []byte {
return file_pkg_grpc_proto_llmserver_proto_rawDescData
}
var file_pkg_grpc_proto_llmserver_proto_msgTypes = make([]protoimpl.MessageInfo, 5)
var file_pkg_grpc_proto_llmserver_proto_msgTypes = make([]protoimpl.MessageInfo, 6)
var file_pkg_grpc_proto_llmserver_proto_goTypes = []interface{}{
(*HealthMessage)(nil), // 0: llm.HealthMessage
(*PredictOptions)(nil), // 1: llm.PredictOptions
(*Reply)(nil), // 2: llm.Reply
(*ModelOptions)(nil), // 3: llm.ModelOptions
(*Result)(nil), // 4: llm.Result
(*EmbeddingResult)(nil), // 5: llm.EmbeddingResult
}
var file_pkg_grpc_proto_llmserver_proto_depIdxs = []int32{
0, // 0: llm.LLM.Health:input_type -> llm.HealthMessage
1, // 1: llm.LLM.Predict:input_type -> llm.PredictOptions
3, // 2: llm.LLM.LoadModel:input_type -> llm.ModelOptions
1, // 3: llm.LLM.PredictStream:input_type -> llm.PredictOptions
2, // 4: llm.LLM.Health:output_type -> llm.Reply
2, // 5: llm.LLM.Predict:output_type -> llm.Reply
4, // 6: llm.LLM.LoadModel:output_type -> llm.Result
2, // 7: llm.LLM.PredictStream:output_type -> llm.Reply
4, // [4:8] is the sub-list for method output_type
0, // [0:4] is the sub-list for method input_type
1, // 4: llm.LLM.Embedding:input_type -> llm.PredictOptions
2, // 5: llm.LLM.Health:output_type -> llm.Reply
2, // 6: llm.LLM.Predict:output_type -> llm.Reply
4, // 7: llm.LLM.LoadModel:output_type -> llm.Result
2, // 8: llm.LLM.PredictStream:output_type -> llm.Reply
5, // 9: llm.LLM.Embedding:output_type -> llm.EmbeddingResult
5, // [5:10] is the sub-list for method output_type
0, // [0:5] is the sub-list for method input_type
0, // [0:0] is the sub-list for extension type_name
0, // [0:0] is the sub-list for extension extendee
0, // [0:0] is the sub-list for field type_name
@ -848,6 +915,18 @@ func file_pkg_grpc_proto_llmserver_proto_init() {
return nil
}
}
file_pkg_grpc_proto_llmserver_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*EmbeddingResult); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
type x struct{}
out := protoimpl.TypeBuilder{
@ -855,7 +934,7 @@ func file_pkg_grpc_proto_llmserver_proto_init() {
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_pkg_grpc_proto_llmserver_proto_rawDesc,
NumEnums: 0,
NumMessages: 5,
NumMessages: 6,
NumExtensions: 0,
NumServices: 1,
},

8
pkg/grpc/proto/llmserver.proto
Unescape View File

@ -12,6 +12,7 @@ service LLM {
rpc Predict(PredictOptions) returns (Reply) {}
rpc LoadModel(ModelOptions) returns (Result) {}
rpc PredictStream(PredictOptions) returns (stream Reply) {}
rpc Embedding(PredictOptions) returns (EmbeddingResult) {}
}
message HealthMessage {}
@ -41,7 +42,6 @@ message PredictOptions {
float MirostatTAU = 21;
bool PenalizeNL = 22;
string LogitBias = 23;
string PathPromptCache = 24;
bool MLock = 25;
bool MMap = 26;
bool PromptCacheAll = 27;
@ -52,6 +52,8 @@ message PredictOptions {
float TopP = 32;
string PromptCachePath = 33;
bool Debug = 34;
repeated int32 EmbeddingTokens = 35;
string Embeddings = 36;
}
// The response message containing the result
@ -80,3 +82,7 @@ message Result {
string message = 1;
bool success = 2;
}
message EmbeddingResult {
repeated float embeddings = 1;
}

36
pkg/grpc/proto/llmserver_grpc.pb.go
Unescape View File

@ -26,6 +26,7 @@ type LLMClient interface {
Predict(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (*Reply, error)
LoadModel(ctx context.Context, in *ModelOptions, opts ...grpc.CallOption) (*Result, error)
PredictStream(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (LLM_PredictStreamClient, error)
Embedding(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (*EmbeddingResult, error)
}
type lLMClient struct {
@ -95,6 +96,15 @@ func (x *lLMPredictStreamClient) Recv() (*Reply, error) {
return m, nil
}
func (c *lLMClient) Embedding(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (*EmbeddingResult, error) {
out := new(EmbeddingResult)
err := c.cc.Invoke(ctx, "/llm.LLM/Embedding", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
// LLMServer is the server API for LLM service.
// All implementations must embed UnimplementedLLMServer
// for forward compatibility
@ -103,6 +113,7 @@ type LLMServer interface {
Predict(context.Context, *PredictOptions) (*Reply, error)
LoadModel(context.Context, *ModelOptions) (*Result, error)
PredictStream(*PredictOptions, LLM_PredictStreamServer) error
Embedding(context.Context, *PredictOptions) (*EmbeddingResult, error)
mustEmbedUnimplementedLLMServer()
}
@ -122,6 +133,9 @@ func (UnimplementedLLMServer) LoadModel(context.Context, *ModelOptions) (*Result
func (UnimplementedLLMServer) PredictStream(*PredictOptions, LLM_PredictStreamServer) error {
return status.Errorf(codes.Unimplemented, "method PredictStream not implemented")
}
func (UnimplementedLLMServer) Embedding(context.Context, *PredictOptions) (*EmbeddingResult, error) {
return nil, status.Errorf(codes.Unimplemented, "method Embedding not implemented")
}
func (UnimplementedLLMServer) mustEmbedUnimplementedLLMServer() {}
// UnsafeLLMServer may be embedded to opt out of forward compatibility for this service.
@ -210,6 +224,24 @@ func (x *lLMPredictStreamServer) Send(m *Reply) error {
return x.ServerStream.SendMsg(m)
}
func _LLM_Embedding_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(PredictOptions)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(LLMServer).Embedding(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/llm.LLM/Embedding",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(LLMServer).Embedding(ctx, req.(*PredictOptions))
}
return interceptor(ctx, in, info, handler)
}
// LLM_ServiceDesc is the grpc.ServiceDesc for LLM service.
// It's only intended for direct use with grpc.RegisterService,
// and not to be introspected or modified (even as a copy)
@ -229,6 +261,10 @@ var LLM_ServiceDesc = grpc.ServiceDesc{
MethodName: "LoadModel",
Handler: _LLM_LoadModel_Handler,
},
{
MethodName: "Embedding",
Handler: _LLM_Embedding_Handler,
},
},
Streams: []grpc.StreamDesc{
{

9
pkg/grpc/server.go
Unescape View File

@ -29,6 +29,15 @@ func (s *server) Health(ctx context.Context, in *pb.HealthMessage) (*pb.Reply, e
return &pb.Reply{Message: "OK"}, nil
}
func (s *server) Embedding(ctx context.Context, in *pb.PredictOptions) (*pb.EmbeddingResult, error) {
embeds, err := s.llm.Embeddings(in)
if err != nil {
return nil, err
}
return &pb.EmbeddingResult{Embeddings: embeds}, nil
}
func (s *server) LoadModel(ctx context.Context, in *pb.ModelOptions) (*pb.Result, error) {
err := s.llm.Load(in)
if err != nil {

15
pkg/model/initializers.go
Unescape View File

@ -17,7 +17,6 @@ import (
bloomz "github.com/go-skynet/bloomz.cpp"
bert "github.com/go-skynet/go-bert.cpp"
transformers "github.com/go-skynet/go-ggml-transformers.cpp"
llama "github.com/go-skynet/go-llama.cpp"
"github.com/hashicorp/go-multierror"
"github.com/hpcloud/tail"
gpt4all "github.com/nomic-ai/gpt4all/gpt4all-bindings/golang"
@ -135,11 +134,11 @@ var lcHuggingFace = func(repoId string) (interface{}, error) {
return langchain.NewHuggingFace(repoId)
}
func llamaLM(opts ...llama.ModelOption) func(string) (interface{}, error) {
return func(s string) (interface{}, error) {
return llama.New(s, opts...)
}
}
// func llamaLM(opts ...llama.ModelOption) func(string) (interface{}, error) {
// return func(s string) (interface{}, error) {
// return llama.New(s, opts...)
// }
// }
func gpt4allLM(opts ...gpt4all.ModelOption) func(string) (interface{}, error) {
return func(s string) (interface{}, error) {
@ -263,7 +262,8 @@ func (ml *ModelLoader) BackendLoader(opts ...Option) (model interface{}, err err
log.Debug().Msgf("Loading model %s from %s", o.backendString, o.modelFile)
switch strings.ToLower(o.backendString) {
case LlamaBackend:
return ml.LoadModel(o.modelFile, llamaLM(o.llamaOpts...))
// return ml.LoadModel(o.modelFile, llamaLM(o.llamaOpts...))
return ml.LoadModel(o.modelFile, ml.grpcModel(LlamaBackend, o))
case BloomzBackend:
return ml.LoadModel(o.modelFile, bloomzLM)
case GPTJBackend:
@ -325,7 +325,6 @@ func (ml *ModelLoader) GreedyLoader(opts ...Option) (interface{}, error) {
model, modelerr := ml.BackendLoader(
WithBackendString(b),
WithModelFile(o.modelFile),
WithLlamaOpts(o.llamaOpts...),
WithLoadGRPCOpts(o.gRPCOptions),
WithThreads(o.threads),
WithAssetDir(o.assetDir),

8
pkg/model/options.go
Unescape View File

@ -2,13 +2,11 @@ package model
import (
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
llama "github.com/go-skynet/go-llama.cpp"
)
type Options struct {
backendString string
modelFile string
llamaOpts []llama.ModelOption
threads uint32
assetDir string
@ -35,12 +33,6 @@ func WithLoadGRPCOpts(opts *pb.ModelOptions) Option {
}
}
func WithLlamaOpts(opts ...llama.ModelOption) Option {
return func(o *Options) {
o.llamaOpts = append(o.llamaOpts, opts...)
}
}
func WithThreads(threads uint32) Option {
return func(o *Options) {
o.threads = threads

Write Preview
Loading…
Cancel
Save