feat(speculative-sampling): allow to specify a draft model in the model config (#1052)

**Description**

This PR fixes #1013.

It adds `draft_model` and `n_draft` to the model YAML config in order to
load models with speculative sampling. This should be compatible as well
with grammars.

example:

```yaml
backend: llama                                                                                                                                                                   
context_size: 1024                                                                                                                                                                        
name: my-model-name
parameters:
  model: foo-bar
n_draft: 16                                                                                                                                                                      
draft_model: model-name
```

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto 2023-09-14 17:44:16 +02:00 committed by GitHub
parent 247d85b523
commit 8ccf5b2044
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
12 changed files with 485 additions and 427 deletions

View File

@ -42,6 +42,7 @@ func gRPCModelOpts(c config.Config) *pb.ModelOptions {
Seed: int32(c.Seed),
NBatch: int32(b),
NoMulMatQ: c.NoMulMatQ,
DraftModel: c.DraftModel,
AudioPath: c.VallE.AudioPath,
LoraAdapter: c.LoraAdapter,
LoraBase: c.LoraBase,
@ -79,6 +80,7 @@ func gRPCPredictOpts(c config.Config, modelPath string) *pb.PredictOptions {
return &pb.PredictOptions{
Temperature: float32(c.Temperature),
TopP: float32(c.TopP),
NDraft: c.NDraft,
TopK: int32(c.TopK),
Tokens: int32(c.Maxtokens),
Threads: int32(c.Threads),

View File

@ -101,6 +101,8 @@ type LLMConfig struct {
LoraAdapter string `yaml:"lora_adapter"`
LoraBase string `yaml:"lora_base"`
NoMulMatQ bool `yaml:"no_mulmatq"`
DraftModel string `yaml:"draft_model"`
NDraft int32 `yaml:"n_draft"`
}
type AutoGPTQ struct {

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View File

@ -14,7 +14,8 @@ import (
type LLM struct {
base.SingleThread
llama *llama.LLama
llama *llama.LLama
draftModel *llama.LLama
}
func (llm *LLM) Load(opts *pb.ModelOptions) error {
@ -78,7 +79,27 @@ func (llm *LLM) Load(opts *pb.ModelOptions) error {
llamaOpts = append(llamaOpts, llama.EnabelLowVRAM)
}
if opts.DraftModel != "" {
// https://github.com/ggerganov/llama.cpp/blob/71ca2fad7d6c0ef95ef9944fb3a1a843e481f314/examples/speculative/speculative.cpp#L40
llamaOpts = append(llamaOpts, llama.SetPerplexity(true))
}
model, err := llama.New(opts.ModelFile, llamaOpts...)
if opts.DraftModel != "" {
// opts.DraftModel is relative to opts.ModelFile, so we need to get the basepath of opts.ModelFile
if !filepath.IsAbs(opts.DraftModel) {
dir := filepath.Dir(opts.ModelFile)
opts.DraftModel = filepath.Join(dir, opts.DraftModel)
}
draftModel, err := llama.New(opts.DraftModel, llamaOpts...)
if err != nil {
return err
}
llm.draftModel = draftModel
}
llm.llama = model
return err
@ -162,6 +183,9 @@ func buildPredictOptions(opts *pb.PredictOptions) []llama.PredictOption {
predictOptions = append(predictOptions, llama.SetSeed(int(opts.Seed)))
}
if opts.NDraft != 0 {
predictOptions = append(predictOptions, llama.SetNDraft(int(opts.NDraft)))
}
//predictOptions = append(predictOptions, llama.SetLogitBias(c.Seed))
predictOptions = append(predictOptions, llama.SetFrequencyPenalty(opts.FrequencyPenalty))
@ -175,6 +199,9 @@ func buildPredictOptions(opts *pb.PredictOptions) []llama.PredictOption {
}
func (llm *LLM) Predict(opts *pb.PredictOptions) (string, error) {
if llm.draftModel != nil {
return llm.llama.SpeculativeSampling(llm.draftModel, opts.Prompt, buildPredictOptions(opts)...)
}
return llm.llama.Predict(opts.Prompt, buildPredictOptions(opts)...)
}
@ -187,7 +214,13 @@ func (llm *LLM) PredictStream(opts *pb.PredictOptions, results chan string) erro
}))
go func() {
_, err := llm.llama.Predict(opts.Prompt, predictOptions...)
var err error
if llm.draftModel != nil {
_, err = llm.llama.SpeculativeSampling(llm.draftModel, opts.Prompt, buildPredictOptions(opts)...)
} else {
_, err = llm.llama.Predict(opts.Prompt, predictOptions...)
}
if err != nil {
fmt.Println("err: ", err)
}

View File

@ -155,6 +155,7 @@ type PredictOptions struct {
RopeFreqScale float32 `protobuf:"fixed32,38,opt,name=RopeFreqScale,proto3" json:"RopeFreqScale,omitempty"`
NegativePromptScale float32 `protobuf:"fixed32,39,opt,name=NegativePromptScale,proto3" json:"NegativePromptScale,omitempty"`
NegativePrompt string `protobuf:"bytes,40,opt,name=NegativePrompt,proto3" json:"NegativePrompt,omitempty"`
NDraft int32 `protobuf:"varint,41,opt,name=NDraft,proto3" json:"NDraft,omitempty"`
}
func (x *PredictOptions) Reset() {
@ -462,6 +463,13 @@ func (x *PredictOptions) GetNegativePrompt() string {
return ""
}
func (x *PredictOptions) GetNDraft() int32 {
if x != nil {
return x.NDraft
}
return 0
}
// The response message containing the result
type Reply struct {
state protoimpl.MessageState
@ -556,6 +564,7 @@ type ModelOptions struct {
LoraBase string `protobuf:"bytes,35,opt,name=LoraBase,proto3" json:"LoraBase,omitempty"`
LoraAdapter string `protobuf:"bytes,36,opt,name=LoraAdapter,proto3" json:"LoraAdapter,omitempty"`
NoMulMatQ bool `protobuf:"varint,37,opt,name=NoMulMatQ,proto3" json:"NoMulMatQ,omitempty"`
DraftModel string `protobuf:"bytes,39,opt,name=DraftModel,proto3" json:"DraftModel,omitempty"`
AudioPath string `protobuf:"bytes,38,opt,name=AudioPath,proto3" json:"AudioPath,omitempty"`
}
@ -850,6 +859,13 @@ func (x *ModelOptions) GetNoMulMatQ() bool {
return false
}
func (x *ModelOptions) GetDraftModel() string {
if x != nil {
return x.DraftModel
}
return ""
}
func (x *ModelOptions) GetAudioPath() string {
if x != nil {
return x.AudioPath
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}
var (

View File

@ -63,6 +63,7 @@ message PredictOptions {
float RopeFreqScale = 38;
float NegativePromptScale = 39;
string NegativePrompt = 40;
int32 NDraft = 41;
}
// The response message containing the result
@ -116,7 +117,8 @@ message ModelOptions {
string LoraBase = 35;
string LoraAdapter = 36;
bool NoMulMatQ = 37;
string DraftModel = 39;
string AudioPath = 38;
}