LocalAI/pkg/model/initializers.go

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package model
import (
"context"
"errors"
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"fmt"
"os"
"path/filepath"
"slices"
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"strings"
"time"
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grpc "github.com/go-skynet/LocalAI/pkg/grpc"
feat: auto select llama-cpp cuda runtime (#2306) * auto select cpu variant Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * remove cuda target for now Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * fix metal Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * fix path Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * cuda Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * auto select cuda Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * update test Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * select CUDA backend only if present Signed-off-by: mudler <mudler@localai.io> * ci: keep cuda bin in path Signed-off-by: mudler <mudler@localai.io> * Makefile: make dist now builds also cuda Signed-off-by: mudler <mudler@localai.io> * Keep pushing fallback in case auto-flagset/nvidia fails There could be other reasons for which the default binary may fail. For example we might have detected an Nvidia GPU, however the user might not have the drivers/cuda libraries installed in the system, and so it would fail to start. We keep the fallback of llama.cpp at the end of the llama.cpp backends to try to fallback loading in case things go wrong Signed-off-by: mudler <mudler@localai.io> * Do not build cuda on MacOS Signed-off-by: mudler <mudler@localai.io> * cleanup Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * Apply suggestions from code review Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> --------- Signed-off-by: Sertac Ozercan <sozercan@gmail.com> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> Signed-off-by: mudler <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com> Co-authored-by: mudler <mudler@localai.io>
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"github.com/go-skynet/LocalAI/pkg/xsysinfo"
"github.com/klauspost/cpuid/v2"
"github.com/phayes/freeport"
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"github.com/rs/zerolog/log"
"github.com/elliotchance/orderedmap/v2"
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)
var Aliases map[string]string = map[string]string{
"go-llama": LLamaCPP,
"llama": LLamaCPP,
"embedded-store": LocalStoreBackend,
"langchain-huggingface": LCHuggingFaceBackend,
}
var autoDetect = os.Getenv("DISABLE_AUTODETECT") != "true"
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const (
LlamaGGML = "llama-ggml"
LLamaCPP = "llama-cpp"
feat: auto select llama-cpp cuda runtime (#2306) * auto select cpu variant Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * remove cuda target for now Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * fix metal Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * fix path Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * cuda Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * auto select cuda Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * update test Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * select CUDA backend only if present Signed-off-by: mudler <mudler@localai.io> * ci: keep cuda bin in path Signed-off-by: mudler <mudler@localai.io> * Makefile: make dist now builds also cuda Signed-off-by: mudler <mudler@localai.io> * Keep pushing fallback in case auto-flagset/nvidia fails There could be other reasons for which the default binary may fail. For example we might have detected an Nvidia GPU, however the user might not have the drivers/cuda libraries installed in the system, and so it would fail to start. We keep the fallback of llama.cpp at the end of the llama.cpp backends to try to fallback loading in case things go wrong Signed-off-by: mudler <mudler@localai.io> * Do not build cuda on MacOS Signed-off-by: mudler <mudler@localai.io> * cleanup Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * Apply suggestions from code review Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> --------- Signed-off-by: Sertac Ozercan <sozercan@gmail.com> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> Signed-off-by: mudler <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com> Co-authored-by: mudler <mudler@localai.io>
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LLamaCPPAVX2 = "llama-cpp-avx2"
LLamaCPPAVX = "llama-cpp-avx"
LLamaCPPFallback = "llama-cpp-fallback"
feat: auto select llama-cpp cuda runtime (#2306) * auto select cpu variant Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * remove cuda target for now Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * fix metal Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * fix path Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * cuda Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * auto select cuda Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * update test Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * select CUDA backend only if present Signed-off-by: mudler <mudler@localai.io> * ci: keep cuda bin in path Signed-off-by: mudler <mudler@localai.io> * Makefile: make dist now builds also cuda Signed-off-by: mudler <mudler@localai.io> * Keep pushing fallback in case auto-flagset/nvidia fails There could be other reasons for which the default binary may fail. For example we might have detected an Nvidia GPU, however the user might not have the drivers/cuda libraries installed in the system, and so it would fail to start. We keep the fallback of llama.cpp at the end of the llama.cpp backends to try to fallback loading in case things go wrong Signed-off-by: mudler <mudler@localai.io> * Do not build cuda on MacOS Signed-off-by: mudler <mudler@localai.io> * cleanup Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * Apply suggestions from code review Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> --------- Signed-off-by: Sertac Ozercan <sozercan@gmail.com> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> Signed-off-by: mudler <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com> Co-authored-by: mudler <mudler@localai.io>
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LLamaCPPCUDA = "llama-cpp-cuda"
LLamaCPPGRPC = "llama-cpp-grpc"
Gpt4AllLlamaBackend = "gpt4all-llama"
Gpt4AllMptBackend = "gpt4all-mpt"
Gpt4AllJBackend = "gpt4all-j"
Gpt4All = "gpt4all"
BertEmbeddingsBackend = "bert-embeddings"
RwkvBackend = "rwkv"
WhisperBackend = "whisper"
StableDiffusionBackend = "stablediffusion"
TinyDreamBackend = "tinydream"
PiperBackend = "piper"
LCHuggingFaceBackend = "huggingface"
LocalStoreBackend = "local-store"
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)
func backendPath(assetDir, backend string) string {
return filepath.Join(assetDir, "backend-assets", "grpc", backend)
}
// backendsInAssetDir returns the list of backends in the asset directory
// that should be loaded
func backendsInAssetDir(assetDir string) ([]string, error) {
// Exclude backends from automatic loading
excludeBackends := []string{LocalStoreBackend}
entry, err := os.ReadDir(backendPath(assetDir, ""))
if err != nil {
return nil, err
}
backends := make(map[string][]string)
ENTRY:
for _, e := range entry {
for _, exclude := range excludeBackends {
if e.Name() == exclude {
continue ENTRY
}
}
if e.IsDir() {
continue
}
// Skip the llama.cpp variants if we are autoDetecting
// But we always load the fallback variant if it exists
if strings.Contains(e.Name(), LLamaCPP) && !strings.Contains(e.Name(), LLamaCPPFallback) && autoDetect {
continue
}
backends[e.Name()] = []string{}
}
// if we are autoDetecting, we want to show the llama.cpp variants as a single backend
if autoDetect {
// if we find the llama.cpp variants, show them of as a single backend (llama-cpp) as later we are going to pick that up
// when starting the service
foundLCPPAVX, foundLCPPAVX2, foundLCPPFallback, foundLCPPGRPC, foundLCPPCuda := false, false, false, false, false
if _, ok := backends[LLamaCPP]; !ok {
for _, e := range entry {
if strings.Contains(e.Name(), LLamaCPPAVX2) && !foundLCPPAVX2 {
backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPAVX2)
foundLCPPAVX2 = true
}
if strings.Contains(e.Name(), LLamaCPPAVX) && !foundLCPPAVX {
backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPAVX)
foundLCPPAVX = true
}
if strings.Contains(e.Name(), LLamaCPPFallback) && !foundLCPPFallback {
backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPFallback)
foundLCPPFallback = true
}
if strings.Contains(e.Name(), LLamaCPPGRPC) && !foundLCPPGRPC {
backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPGRPC)
foundLCPPGRPC = true
}
if strings.Contains(e.Name(), LLamaCPPCUDA) && !foundLCPPCuda {
backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPCUDA)
foundLCPPCuda = true
}
}
}
}
// order backends from the asset directory.
// as we scan for backends, we want to keep some order which backends are tried of.
// for example, llama.cpp should be tried first, and we want to keep the huggingface backend at the last.
// sets a priority list - first has more priority
priorityList := []string{
// First llama.cpp(variants) and llama-ggml to follow.
// We keep the fallback to prevent that if the llama.cpp variants
// that depends on shared libs if breaks have still a safety net.
feat: auto select llama-cpp cuda runtime (#2306) * auto select cpu variant Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * remove cuda target for now Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * fix metal Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * fix path Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * cuda Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * auto select cuda Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * update test Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * select CUDA backend only if present Signed-off-by: mudler <mudler@localai.io> * ci: keep cuda bin in path Signed-off-by: mudler <mudler@localai.io> * Makefile: make dist now builds also cuda Signed-off-by: mudler <mudler@localai.io> * Keep pushing fallback in case auto-flagset/nvidia fails There could be other reasons for which the default binary may fail. For example we might have detected an Nvidia GPU, however the user might not have the drivers/cuda libraries installed in the system, and so it would fail to start. We keep the fallback of llama.cpp at the end of the llama.cpp backends to try to fallback loading in case things go wrong Signed-off-by: mudler <mudler@localai.io> * Do not build cuda on MacOS Signed-off-by: mudler <mudler@localai.io> * cleanup Signed-off-by: Sertac Ozercan <sozercan@gmail.com> * Apply suggestions from code review Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> --------- Signed-off-by: Sertac Ozercan <sozercan@gmail.com> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> Signed-off-by: mudler <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com> Co-authored-by: mudler <mudler@localai.io>
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LLamaCPP, LlamaGGML, Gpt4All, LLamaCPPFallback,
}
toTheEnd := []string{
// last has to be huggingface
LCHuggingFaceBackend,
// then bert embeddings
BertEmbeddingsBackend,
}
// create an ordered map
orderedBackends := orderedmap.NewOrderedMap[string, any]()
// add priorityList first
for _, p := range priorityList {
if _, ok := backends[p]; ok {
orderedBackends.Set(p, backends[p])
}
}
for k, v := range backends {
if !slices.Contains(toTheEnd, k) {
if _, ok := orderedBackends.Get(k); !ok {
orderedBackends.Set(k, v)
}
}
}
for _, t := range toTheEnd {
if _, ok := backends[t]; ok {
orderedBackends.Set(t, backends[t])
}
}
return orderedBackends.Keys(), nil
}
// selectGRPCProcess selects the GRPC process to start based on system capabilities
func selectGRPCProcess(backend, assetDir string) string {
foundCUDA := false
var grpcProcess string
// Select backend now just for llama.cpp
if backend != LLamaCPP {
return ""
}
// Note: This environment variable is read by the LocalAI's llama.cpp grpc-server
if os.Getenv("LLAMACPP_GRPC_SERVERS") != "" {
log.Info().Msgf("[%s] attempting to load with GRPC variant", LLamaCPPGRPC)
return backendPath(assetDir, LLamaCPPGRPC)
}
gpus, err := xsysinfo.GPUs()
if err == nil {
for _, gpu := range gpus {
if strings.Contains(gpu.String(), "nvidia") {
p := backendPath(assetDir, LLamaCPPCUDA)
if _, err := os.Stat(p); err == nil {
log.Info().Msgf("[%s] attempting to load with CUDA variant", backend)
grpcProcess = p
foundCUDA = true
} else {
log.Info().Msgf("GPU device found but no CUDA backend present")
}
}
}
}
if foundCUDA {
return grpcProcess
}
if xsysinfo.HasCPUCaps(cpuid.AVX2) {
log.Info().Msgf("[%s] attempting to load with AVX2 variant", backend)
grpcProcess = backendPath(assetDir, LLamaCPPAVX2)
} else if xsysinfo.HasCPUCaps(cpuid.AVX) {
log.Info().Msgf("[%s] attempting to load with AVX variant", backend)
grpcProcess = backendPath(assetDir, LLamaCPPAVX)
} else {
log.Info().Msgf("[%s] attempting to load with fallback variant", backend)
grpcProcess = backendPath(assetDir, LLamaCPPFallback)
}
return grpcProcess
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}
// starts the grpcModelProcess for the backend, and returns a grpc client
// It also loads the model
func (ml *ModelLoader) grpcModel(backend string, o *Options) func(string, string) (ModelAddress, error) {
return func(modelName, modelFile string) (ModelAddress, error) {
log.Debug().Msgf("Loading Model %s with gRPC (file: %s) (backend: %s): %+v", modelName, modelFile, backend, *o)
var client ModelAddress
getFreeAddress := func() (string, error) {
port, err := freeport.GetFreePort()
if err != nil {
return "", fmt.Errorf("failed allocating free ports: %s", err.Error())
}
return fmt.Sprintf("127.0.0.1:%d", port), nil
}
// If no specific model path is set for transformers/HF, set it to the model path
for _, env := range []string{"HF_HOME", "TRANSFORMERS_CACHE", "HUGGINGFACE_HUB_CACHE"} {
if os.Getenv(env) == "" {
err := os.Setenv(env, ml.ModelPath)
if err != nil {
log.Error().Err(err).Str("name", env).Str("modelPath", ml.ModelPath).Msg("unable to set environment variable to modelPath")
}
}
}
// Check if the backend is provided as external
if uri, ok := o.externalBackends[backend]; ok {
log.Debug().Msgf("Loading external backend: %s", uri)
// check if uri is a file or a address
if _, err := os.Stat(uri); err == nil {
serverAddress, err := getFreeAddress()
if err != nil {
return "", fmt.Errorf("failed allocating free ports: %s", err.Error())
}
// Make sure the process is executable
if err := ml.startProcess(uri, o.model, serverAddress); err != nil {
return "", err
}
log.Debug().Msgf("GRPC Service Started")
client = ModelAddress(serverAddress)
} else {
// address
client = ModelAddress(uri)
}
} else {
grpcProcess := backendPath(o.assetDir, backend)
if autoDetect {
// autoDetect GRPC process to start based on system capabilities
if selectedProcess := selectGRPCProcess(backend, o.assetDir); selectedProcess != "" {
grpcProcess = selectedProcess
}
}
// Check if the file exists
if _, err := os.Stat(grpcProcess); os.IsNotExist(err) {
return "", fmt.Errorf("grpc process not found: %s. some backends(stablediffusion, tts) require LocalAI compiled with GO_TAGS", grpcProcess)
}
serverAddress, err := getFreeAddress()
if err != nil {
return "", fmt.Errorf("failed allocating free ports: %s", err.Error())
}
// Make sure the process is executable
if err := ml.startProcess(grpcProcess, o.model, serverAddress); err != nil {
return "", err
}
log.Debug().Msgf("GRPC Service Started")
client = ModelAddress(serverAddress)
}
// Wait for the service to start up
ready := false
for i := 0; i < o.grpcAttempts; i++ {
alive, err := client.GRPC(o.parallelRequests, ml.wd).HealthCheck(context.Background())
if alive {
log.Debug().Msgf("GRPC Service Ready")
ready = true
break
}
if err != nil && i == o.grpcAttempts-1 {
log.Error().Err(err).Msg("failed starting/connecting to the gRPC service")
}
time.Sleep(time.Duration(o.grpcAttemptsDelay) * time.Second)
}
if !ready {
log.Debug().Msgf("GRPC Service NOT ready")
return "", fmt.Errorf("grpc service not ready")
}
options := *o.gRPCOptions
options.Model = modelName
options.ModelFile = modelFile
log.Debug().Msgf("GRPC: Loading model with options: %+v", options)
res, err := client.GRPC(o.parallelRequests, ml.wd).LoadModel(o.context, &options)
if err != nil {
return "", fmt.Errorf("could not load model: %w", err)
}
if !res.Success {
return "", fmt.Errorf("could not load model (no success): %s", res.Message)
}
return client, nil
}
}
func (ml *ModelLoader) resolveAddress(addr ModelAddress, parallel bool) (grpc.Backend, error) {
if parallel {
return addr.GRPC(parallel, ml.wd), nil
}
if _, ok := ml.grpcClients[string(addr)]; !ok {
ml.grpcClients[string(addr)] = addr.GRPC(parallel, ml.wd)
}
return ml.grpcClients[string(addr)], nil
}
func (ml *ModelLoader) BackendLoader(opts ...Option) (client grpc.Backend, err error) {
o := NewOptions(opts...)
if o.model != "" {
log.Info().Msgf("Loading model '%s' with backend %s", o.model, o.backendString)
} else {
log.Info().Msgf("Loading model with backend %s", o.backendString)
}
backend := strings.ToLower(o.backendString)
if realBackend, exists := Aliases[backend]; exists {
backend = realBackend
log.Debug().Msgf("%s is an alias of %s", backend, realBackend)
}
if o.singleActiveBackend {
ml.mu.Lock()
log.Debug().Msgf("Stopping all backends except '%s'", o.model)
err := ml.StopAllExcept(o.model)
ml.mu.Unlock()
if err != nil {
log.Error().Err(err).Str("keptModel", o.model).Msg("error while shutting down all backends except for the keptModel")
return nil, err
}
}
var backendToConsume string
switch backend {
case Gpt4AllLlamaBackend, Gpt4AllMptBackend, Gpt4AllJBackend, Gpt4All:
o.gRPCOptions.LibrarySearchPath = filepath.Join(o.assetDir, "backend-assets", "gpt4all")
backendToConsume = Gpt4All
case PiperBackend:
o.gRPCOptions.LibrarySearchPath = filepath.Join(o.assetDir, "backend-assets", "espeak-ng-data")
backendToConsume = PiperBackend
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default:
backendToConsume = backend
}
addr, err := ml.LoadModel(o.model, ml.grpcModel(backendToConsume, o))
if err != nil {
return nil, err
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}
return ml.resolveAddress(addr, o.parallelRequests)
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}
func (ml *ModelLoader) GreedyLoader(opts ...Option) (grpc.Backend, error) {
o := NewOptions(opts...)
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ml.mu.Lock()
// Return earlier if we have a model already loaded
// (avoid looping through all the backends)
if m := ml.CheckIsLoaded(o.model); m != "" {
log.Debug().Msgf("Model '%s' already loaded", o.model)
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ml.mu.Unlock()
return ml.resolveAddress(m, o.parallelRequests)
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}
// If we can have only one backend active, kill all the others (except external backends)
if o.singleActiveBackend {
log.Debug().Msgf("Stopping all backends except '%s'", o.model)
err := ml.StopAllExcept(o.model)
if err != nil {
log.Error().Err(err).Str("keptModel", o.model).Msg("error while shutting down all backends except for the keptModel - greedyloader continuing")
}
}
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ml.mu.Unlock()
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var err error
// get backends embedded in the binary
autoLoadBackends, err := backendsInAssetDir(o.assetDir)
if err != nil {
return nil, err
}
// append externalBackends supplied by the user via the CLI
for _, b := range o.externalBackends {
autoLoadBackends = append(autoLoadBackends, b)
}
log.Debug().Msgf("Loading from the following backends (in order): %+v", autoLoadBackends)
if o.model != "" {
log.Info().Msgf("Trying to load the model '%s' with the backend '%s'", o.model, autoLoadBackends)
}
for _, key := range autoLoadBackends {
log.Info().Msgf("[%s] Attempting to load", key)
options := []Option{
WithBackendString(key),
WithModel(o.model),
WithLoadGRPCLoadModelOpts(o.gRPCOptions),
WithThreads(o.threads),
WithAssetDir(o.assetDir),
}
for k, v := range o.externalBackends {
options = append(options, WithExternalBackend(k, v))
}
model, modelerr := ml.BackendLoader(options...)
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if modelerr == nil && model != nil {
log.Info().Msgf("[%s] Loads OK", key)
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return model, nil
} else if modelerr != nil {
err = errors.Join(err, modelerr)
log.Info().Msgf("[%s] Fails: %s", key, modelerr.Error())
} else if model == nil {
err = errors.Join(err, fmt.Errorf("backend returned no usable model"))
log.Info().Msgf("[%s] Fails: %s", key, "backend returned no usable model")
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}
}
return nil, fmt.Errorf("could not load model - all backends returned error: %s", err.Error())
}