@ -10,14 +10,6 @@ import (
"sync"
"text/template"
rwkv "github.com/donomii/go-rwkv.cpp"
whisper "github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
bloomz "github.com/go-skynet/bloomz.cpp"
bert "github.com/go-skynet/go-bert.cpp"
gpt2 "github.com/go-skynet/go-gpt2.cpp"
llama "github.com/go-skynet/go-llama.cpp"
"github.com/hashicorp/go-multierror"
gpt4all "github.com/nomic/gpt4all/gpt4all-bindings/golang"
"github.com/rs/zerolog/log"
)
@ -25,33 +17,15 @@ type ModelLoader struct {
ModelPath string
mu sync . Mutex
// TODO: this needs generics
models map [ string ] * llama . LLama
gptmodels map [ string ] * gpt4all . Model
gpt2models map [ string ] * gpt2 . GPT2
gptstablelmmodels map [ string ] * gpt2 . StableLM
dollymodels map [ string ] * gpt2 . Dolly
redpajama map [ string ] * gpt2 . RedPajama
rwkv map [ string ] * rwkv . RwkvState
bloomz map [ string ] * bloomz . Bloomz
bert map [ string ] * bert . Bert
promptsTemplates map [ string ] * template . Template
whisperModels map [ string ] whisper . Model
models map [ string ] interface { }
promptsTemplates map [ string ] * template . Template
}
func NewModelLoader ( modelPath string ) * ModelLoader {
return & ModelLoader {
ModelPath : modelPath ,
gpt2models : make ( map [ string ] * gpt2 . GPT2 ) ,
gptmodels : make ( map [ string ] * gpt4all . Model ) ,
gptstablelmmodels : make ( map [ string ] * gpt2 . StableLM ) ,
dollymodels : make ( map [ string ] * gpt2 . Dolly ) ,
redpajama : make ( map [ string ] * gpt2 . RedPajama ) ,
models : make ( map [ string ] * llama . LLama ) ,
rwkv : make ( map [ string ] * rwkv . RwkvState ) ,
bloomz : make ( map [ string ] * bloomz . Bloomz ) ,
bert : make ( map [ string ] * bert . Bert ) ,
promptsTemplates : make ( map [ string ] * template . Template ) ,
whisperModels : make ( map [ string ] whisper . Model ) ,
ModelPath : modelPath ,
models : make ( map [ string ] interface { } ) ,
promptsTemplates : make ( map [ string ] * template . Template ) ,
}
}
@ -136,271 +110,11 @@ func (ml *ModelLoader) loadTemplateIfExists(modelName, modelFile string) error {
return nil
}
func ( ml * ModelLoader ) LoadRedPajama ( modelName string ) ( * gpt2 . RedPajama , error ) {
func ( ml * ModelLoader ) LoadModel ( modelName string , loader func ( string ) ( interface { } , error ) ) ( interface { } , error ) {
ml . mu . Lock ( )
defer ml . mu . Unlock ( )
// Check if we already have a loaded model
if ! ml . ExistsInModelPath ( modelName ) {
return nil , fmt . Errorf ( "model does not exist" )
}
if m , ok := ml . redpajama [ modelName ] ; ok {
log . Debug ( ) . Msgf ( "Model already loaded in memory: %s" , modelName )
return m , nil
}
// Load the model and keep it in memory for later use
modelFile := filepath . Join ( ml . ModelPath , modelName )
log . Debug ( ) . Msgf ( "Loading model in memory from file: %s" , modelFile )
model , err := gpt2 . NewRedPajama ( modelFile )
if err != nil {
return nil , err
}
// If there is a prompt template, load it
if err := ml . loadTemplateIfExists ( modelName , modelFile ) ; err != nil {
return nil , err
}
ml . redpajama [ modelName ] = model
return model , err
}
func ( ml * ModelLoader ) LoadDollyModel ( modelName string ) ( * gpt2 . Dolly , error ) {
ml . mu . Lock ( )
defer ml . mu . Unlock ( )
// Check if we already have a loaded model
if ! ml . ExistsInModelPath ( modelName ) {
return nil , fmt . Errorf ( "model does not exist" )
}
if m , ok := ml . dollymodels [ modelName ] ; ok {
log . Debug ( ) . Msgf ( "Model already loaded in memory: %s" , modelName )
return m , nil
}
// Load the model and keep it in memory for later use
modelFile := filepath . Join ( ml . ModelPath , modelName )
log . Debug ( ) . Msgf ( "Loading model in memory from file: %s" , modelFile )
model , err := gpt2 . NewDolly ( modelFile )
if err != nil {
return nil , err
}
// If there is a prompt template, load it
if err := ml . loadTemplateIfExists ( modelName , modelFile ) ; err != nil {
return nil , err
}
ml . dollymodels [ modelName ] = model
return model , err
}
func ( ml * ModelLoader ) LoadStableLMModel ( modelName string ) ( * gpt2 . StableLM , error ) {
ml . mu . Lock ( )
defer ml . mu . Unlock ( )
// Check if we already have a loaded model
if ! ml . ExistsInModelPath ( modelName ) {
return nil , fmt . Errorf ( "model does not exist" )
}
if m , ok := ml . gptstablelmmodels [ modelName ] ; ok {
log . Debug ( ) . Msgf ( "Model already loaded in memory: %s" , modelName )
return m , nil
}
// Load the model and keep it in memory for later use
modelFile := filepath . Join ( ml . ModelPath , modelName )
log . Debug ( ) . Msgf ( "Loading model in memory from file: %s" , modelFile )
model , err := gpt2 . NewStableLM ( modelFile )
if err != nil {
return nil , err
}
// If there is a prompt template, load it
if err := ml . loadTemplateIfExists ( modelName , modelFile ) ; err != nil {
return nil , err
}
ml . gptstablelmmodels [ modelName ] = model
return model , err
}
func ( ml * ModelLoader ) LoadBERT ( modelName string ) ( * bert . Bert , error ) {
ml . mu . Lock ( )
defer ml . mu . Unlock ( )
// Check if we already have a loaded model
if ! ml . ExistsInModelPath ( modelName ) {
return nil , fmt . Errorf ( "model does not exist" )
}
if m , ok := ml . bert [ modelName ] ; ok {
log . Debug ( ) . Msgf ( "Model already loaded in memory: %s" , modelName )
return m , nil
}
// Load the model and keep it in memory for later use
modelFile := filepath . Join ( ml . ModelPath , modelName )
log . Debug ( ) . Msgf ( "Loading model in memory from file: %s" , modelFile )
model , err := bert . New ( modelFile )
if err != nil {
return nil , err
}
// If there is a prompt template, load it
if err := ml . loadTemplateIfExists ( modelName , modelFile ) ; err != nil {
return nil , err
}
ml . bert [ modelName ] = model
return model , err
}
func ( ml * ModelLoader ) LoadBloomz ( modelName string ) ( * bloomz . Bloomz , error ) {
ml . mu . Lock ( )
defer ml . mu . Unlock ( )
// Check if we already have a loaded model
if ! ml . ExistsInModelPath ( modelName ) {
return nil , fmt . Errorf ( "model does not exist" )
}
if m , ok := ml . bloomz [ modelName ] ; ok {
log . Debug ( ) . Msgf ( "Model already loaded in memory: %s" , modelName )
return m , nil
}
// Load the model and keep it in memory for later use
modelFile := filepath . Join ( ml . ModelPath , modelName )
log . Debug ( ) . Msgf ( "Loading model in memory from file: %s" , modelFile )
model , err := bloomz . New ( modelFile )
if err != nil {
return nil , err
}
// If there is a prompt template, load it
if err := ml . loadTemplateIfExists ( modelName , modelFile ) ; err != nil {
return nil , err
}
ml . bloomz [ modelName ] = model
return model , err
}
func ( ml * ModelLoader ) LoadGPT2Model ( modelName string ) ( * gpt2 . GPT2 , error ) {
ml . mu . Lock ( )
defer ml . mu . Unlock ( )
// Check if we already have a loaded model
if ! ml . ExistsInModelPath ( modelName ) {
return nil , fmt . Errorf ( "model does not exist" )
}
if m , ok := ml . gpt2models [ modelName ] ; ok {
log . Debug ( ) . Msgf ( "Model already loaded in memory: %s" , modelName )
return m , nil
}
// Load the model and keep it in memory for later use
modelFile := filepath . Join ( ml . ModelPath , modelName )
log . Debug ( ) . Msgf ( "Loading model in memory from file: %s" , modelFile )
model , err := gpt2 . New ( modelFile )
if err != nil {
return nil , err
}
// If there is a prompt template, load it
if err := ml . loadTemplateIfExists ( modelName , modelFile ) ; err != nil {
return nil , err
}
ml . gpt2models [ modelName ] = model
return model , err
}
func ( ml * ModelLoader ) LoadGPT4AllModel ( modelName string , opts ... gpt4all . ModelOption ) ( * gpt4all . Model , error ) {
ml . mu . Lock ( )
defer ml . mu . Unlock ( )
// Check if we already have a loaded model
if ! ml . ExistsInModelPath ( modelName ) {
return nil , fmt . Errorf ( "model does not exist" )
}
if m , ok := ml . gptmodels [ modelName ] ; ok {
log . Debug ( ) . Msgf ( "Model already loaded in memory: %s" , modelName )
return m , nil
}
// Load the model and keep it in memory for later use
modelFile := filepath . Join ( ml . ModelPath , modelName )
log . Debug ( ) . Msgf ( "Loading model in memory from file: %s" , modelFile )
model , err := gpt4all . New ( modelFile , opts ... )
if err != nil {
return nil , err
}
// If there is a prompt template, load it
if err := ml . loadTemplateIfExists ( modelName , modelFile ) ; err != nil {
return nil , err
}
ml . gptmodels [ modelName ] = model
return model , err
}
func ( ml * ModelLoader ) LoadRWKV ( modelName , tokenFile string , threads uint32 ) ( * rwkv . RwkvState , error ) {
ml . mu . Lock ( )
defer ml . mu . Unlock ( )
log . Debug ( ) . Msgf ( "Loading model name: %s" , modelName )
// Check if we already have a loaded model
if ! ml . ExistsInModelPath ( modelName ) {
return nil , fmt . Errorf ( "model does not exist" )
}
if m , ok := ml . rwkv [ modelName ] ; ok {
log . Debug ( ) . Msgf ( "Model already loaded in memory: %s" , modelName )
return m , nil
}
// Load the model and keep it in memory for later use
modelFile := filepath . Join ( ml . ModelPath , modelName )
tokenPath := filepath . Join ( ml . ModelPath , tokenFile )
log . Debug ( ) . Msgf ( "Loading model in memory from file: %s" , modelFile )
model := rwkv . LoadFiles ( modelFile , tokenPath , threads )
if model == nil {
return nil , fmt . Errorf ( "could not load model" )
}
ml . rwkv [ modelName ] = model
return model , nil
}
func ( ml * ModelLoader ) LoadLLaMAModel ( modelName string , opts ... llama . ModelOption ) ( * llama . LLama , error ) {
ml . mu . Lock ( )
defer ml . mu . Unlock ( )
log . Debug ( ) . Msgf ( "Loading model name: %s" , modelName )
// Check if we already have a loaded model
if ! ml . ExistsInModelPath ( modelName ) {
return nil , fmt . Errorf ( "model does not exist" )
}
if m , ok := ml . models [ modelName ] ; ok {
log . Debug ( ) . Msgf ( "Model already loaded in memory: %s" , modelName )
return m , nil
@ -410,7 +124,7 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
modelFile := filepath . Join ( ml . ModelPath , modelName )
log . Debug ( ) . Msgf ( "Loading model in memory from file: %s" , modelFile )
model , err := llama . New ( modelFile , opts ... )
model , err := loader ( modelFile )
if err != nil {
return nil , err
}
@ -421,182 +135,5 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
}
ml . models [ modelName ] = model
return model , err
}
func ( ml * ModelLoader ) LoadWhisperModel ( modelName string ) ( whisper . Model , error ) {
ml . mu . Lock ( )
defer ml . mu . Unlock ( )
// Check if we already have a loaded model
if ! ml . ExistsInModelPath ( modelName ) {
return nil , fmt . Errorf ( "model does not exist -- %s" , modelName )
}
if m , ok := ml . whisperModels [ modelName ] ; ok {
log . Debug ( ) . Msgf ( "Model already loaded in memory: %s" , modelName )
return m , nil
}
// Load the model and keep it in memory for later use
modelFile := filepath . Join ( ml . ModelPath , modelName )
log . Debug ( ) . Msgf ( "Loading model in memory from file: %s" , modelFile )
model , err := whisper . New ( modelFile )
if err != nil {
return nil , err
}
ml . whisperModels [ modelName ] = model
return model , err
}
const tokenizerSuffix = ".tokenizer.json"
var loadedModels map [ string ] interface { } = map [ string ] interface { } { }
var muModels sync . Mutex
func ( ml * ModelLoader ) BackendLoader ( backendString string , modelFile string , llamaOpts [ ] llama . ModelOption , threads uint32 ) ( model interface { } , err error ) {
switch strings . ToLower ( backendString ) {
case "llama" :
return ml . LoadLLaMAModel ( modelFile , llamaOpts ... )
case "bloomz" :
return ml . LoadBloomz ( modelFile )
case "stablelm" :
return ml . LoadStableLMModel ( modelFile )
case "dolly" :
return ml . LoadDollyModel ( modelFile )
case "redpajama" :
return ml . LoadRedPajama ( modelFile )
case "gpt2" :
return ml . LoadGPT2Model ( modelFile )
case "gpt4all-llama" :
return ml . LoadGPT4AllModel ( modelFile , gpt4all . SetThreads ( int ( threads ) ) , gpt4all . SetModelType ( gpt4all . LLaMAType ) )
case "gpt4all-mpt" :
return ml . LoadGPT4AllModel ( modelFile , gpt4all . SetThreads ( int ( threads ) ) , gpt4all . SetModelType ( gpt4all . MPTType ) )
case "gpt4all-j" :
return ml . LoadGPT4AllModel ( modelFile , gpt4all . SetThreads ( int ( threads ) ) , gpt4all . SetModelType ( gpt4all . GPTJType ) )
case "bert-embeddings" :
return ml . LoadBERT ( modelFile )
case "rwkv" :
return ml . LoadRWKV ( modelFile , modelFile + tokenizerSuffix , threads )
default :
return nil , fmt . Errorf ( "backend unsupported: %s" , backendString )
}
}
func ( ml * ModelLoader ) WhisperLoader ( backendString string , modelFile string ) ( model whisper . Model , err error ) {
//TODO expose more whisper options in next PR
switch strings . ToLower ( backendString ) {
case "whisper" :
return ml . LoadWhisperModel ( modelFile )
default :
return nil , fmt . Errorf ( "whisper backend unsupported: %s" , backendString )
}
}
func ( ml * ModelLoader ) GreedyLoader ( modelFile string , llamaOpts [ ] llama . ModelOption , threads uint32 ) ( model interface { } , err error ) {
updateModels := func ( model interface { } ) {
muModels . Lock ( )
defer muModels . Unlock ( )
loadedModels [ modelFile ] = model
}
muModels . Lock ( )
m , exists := loadedModels [ modelFile ]
if exists {
muModels . Unlock ( )
return m , nil
}
muModels . Unlock ( )
model , modelerr := ml . LoadLLaMAModel ( modelFile , llamaOpts ... )
if modelerr == nil {
updateModels ( model )
return model , nil
} else {
err = multierror . Append ( err , modelerr )
}
model , modelerr = ml . LoadGPT4AllModel ( modelFile , gpt4all . SetThreads ( int ( threads ) ) , gpt4all . SetModelType ( gpt4all . GPTJType ) )
if modelerr == nil {
updateModels ( model )
return model , nil
} else {
err = multierror . Append ( err , modelerr )
}
model , modelerr = ml . LoadGPT4AllModel ( modelFile , gpt4all . SetThreads ( int ( threads ) ) , gpt4all . SetModelType ( gpt4all . LLaMAType ) )
if modelerr == nil {
updateModels ( model )
return model , nil
} else {
err = multierror . Append ( err , modelerr )
}
model , modelerr = ml . LoadGPT4AllModel ( modelFile , gpt4all . SetThreads ( int ( threads ) ) , gpt4all . SetModelType ( gpt4all . MPTType ) )
if modelerr == nil {
updateModels ( model )
return model , nil
} else {
err = multierror . Append ( err , modelerr )
}
model , modelerr = ml . LoadGPT2Model ( modelFile )
if modelerr == nil {
updateModels ( model )
return model , nil
} else {
err = multierror . Append ( err , modelerr )
}
model , modelerr = ml . LoadStableLMModel ( modelFile )
if modelerr == nil {
updateModels ( model )
return model , nil
} else {
err = multierror . Append ( err , modelerr )
}
model , modelerr = ml . LoadDollyModel ( modelFile )
if modelerr == nil {
updateModels ( model )
return model , nil
} else {
err = multierror . Append ( err , modelerr )
}
model , modelerr = ml . LoadRedPajama ( modelFile )
if modelerr == nil {
updateModels ( model )
return model , nil
} else {
err = multierror . Append ( err , modelerr )
}
// Do not autoload bloomz
//model, modelerr = ml.LoadBloomz(modelFile)
//if modelerr == nil {
// updateModels(model)
// return model, nil
//} else {
// err = multierror.Append(err, modelerr)
//}
model , modelerr = ml . LoadRWKV ( modelFile , modelFile + tokenizerSuffix , threads )
if modelerr == nil {
updateModels ( model )
return model , nil
} else {
err = multierror . Append ( err , modelerr )
}
model , modelerr = ml . LoadBERT ( modelFile )
if modelerr == nil {
updateModels ( model )
return model , nil
} else {
err = multierror . Append ( err , modelerr )
}
return nil , fmt . Errorf ( "could not load model - all backends returned error: %s" , err . Error ( ) )
return model , nil
}
Ettore Di Giacinto
2 years ago
committed by
GitHub