LocalAI/core/config/backend_config.go
Ettore Di Giacinto c89271b2e4
feat(llama.cpp): add distributed llama.cpp inferencing (#2324)
* feat(llama.cpp): support distributed llama.cpp

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat: let tweak how chat messages are merged together

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* refactor

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Makefile: register to ALL_GRPC_BACKENDS

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* refactoring, allow disable auto-detection of backends

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* minor fixups

Signed-off-by: mudler <mudler@localai.io>

* feat: add cmd to start rpc-server from llama.cpp

Signed-off-by: mudler <mudler@localai.io>

* ci: add ccache

Signed-off-by: mudler <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Signed-off-by: mudler <mudler@localai.io>
2024-05-15 01:17:02 +02:00

359 lines
10 KiB
Go

package config
import (
"os"
"github.com/go-skynet/LocalAI/core/schema"
"github.com/go-skynet/LocalAI/pkg/downloader"
"github.com/go-skynet/LocalAI/pkg/functions"
"github.com/go-skynet/LocalAI/pkg/utils"
)
const (
RAND_SEED = -1
)
type BackendConfig struct {
schema.PredictionOptions `yaml:"parameters"`
Name string `yaml:"name"`
F16 *bool `yaml:"f16"`
Threads *int `yaml:"threads"`
Debug *bool `yaml:"debug"`
Roles map[string]string `yaml:"roles"`
Embeddings bool `yaml:"embeddings"`
Backend string `yaml:"backend"`
TemplateConfig TemplateConfig `yaml:"template"`
PromptStrings, InputStrings []string `yaml:"-"`
InputToken [][]int `yaml:"-"`
functionCallString, functionCallNameString string `yaml:"-"`
FunctionsConfig functions.FunctionsConfig `yaml:"function"`
FeatureFlag FeatureFlag `yaml:"feature_flags"` // Feature Flag registry. We move fast, and features may break on a per model/backend basis. Registry for (usually temporary) flags that indicate aborting something early.
// LLM configs (GPT4ALL, Llama.cpp, ...)
LLMConfig `yaml:",inline"`
// AutoGPTQ specifics
AutoGPTQ AutoGPTQ `yaml:"autogptq"`
// Diffusers
Diffusers Diffusers `yaml:"diffusers"`
Step int `yaml:"step"`
// GRPC Options
GRPC GRPC `yaml:"grpc"`
// Vall-e-x
VallE VallE `yaml:"vall-e"`
// CUDA
// Explicitly enable CUDA or not (some backends might need it)
CUDA bool `yaml:"cuda"`
DownloadFiles []File `yaml:"download_files"`
Description string `yaml:"description"`
Usage string `yaml:"usage"`
}
type File struct {
Filename string `yaml:"filename" json:"filename"`
SHA256 string `yaml:"sha256" json:"sha256"`
URI string `yaml:"uri" json:"uri"`
}
type VallE struct {
AudioPath string `yaml:"audio_path"`
}
type FeatureFlag map[string]*bool
func (ff FeatureFlag) Enabled(s string) bool {
v, exist := ff[s]
return exist && v != nil && *v
}
type GRPC struct {
Attempts int `yaml:"attempts"`
AttemptsSleepTime int `yaml:"attempts_sleep_time"`
}
type Diffusers struct {
CUDA bool `yaml:"cuda"`
PipelineType string `yaml:"pipeline_type"`
SchedulerType string `yaml:"scheduler_type"`
EnableParameters string `yaml:"enable_parameters"` // A list of comma separated parameters to specify
CFGScale float32 `yaml:"cfg_scale"` // Classifier-Free Guidance Scale
IMG2IMG bool `yaml:"img2img"` // Image to Image Diffuser
ClipSkip int `yaml:"clip_skip"` // Skip every N frames
ClipModel string `yaml:"clip_model"` // Clip model to use
ClipSubFolder string `yaml:"clip_subfolder"` // Subfolder to use for clip model
ControlNet string `yaml:"control_net"`
}
// LLMConfig is a struct that holds the configuration that are
// generic for most of the LLM backends.
type LLMConfig struct {
SystemPrompt string `yaml:"system_prompt"`
TensorSplit string `yaml:"tensor_split"`
MainGPU string `yaml:"main_gpu"`
RMSNormEps float32 `yaml:"rms_norm_eps"`
NGQA int32 `yaml:"ngqa"`
PromptCachePath string `yaml:"prompt_cache_path"`
PromptCacheAll bool `yaml:"prompt_cache_all"`
PromptCacheRO bool `yaml:"prompt_cache_ro"`
MirostatETA *float64 `yaml:"mirostat_eta"`
MirostatTAU *float64 `yaml:"mirostat_tau"`
Mirostat *int `yaml:"mirostat"`
NGPULayers *int `yaml:"gpu_layers"`
MMap *bool `yaml:"mmap"`
MMlock *bool `yaml:"mmlock"`
LowVRAM *bool `yaml:"low_vram"`
Grammar string `yaml:"grammar"`
StopWords []string `yaml:"stopwords"`
Cutstrings []string `yaml:"cutstrings"`
TrimSpace []string `yaml:"trimspace"`
TrimSuffix []string `yaml:"trimsuffix"`
ContextSize *int `yaml:"context_size"`
NUMA bool `yaml:"numa"`
LoraAdapter string `yaml:"lora_adapter"`
LoraBase string `yaml:"lora_base"`
LoraScale float32 `yaml:"lora_scale"`
NoMulMatQ bool `yaml:"no_mulmatq"`
DraftModel string `yaml:"draft_model"`
NDraft int32 `yaml:"n_draft"`
Quantization string `yaml:"quantization"`
GPUMemoryUtilization float32 `yaml:"gpu_memory_utilization"` // vLLM
TrustRemoteCode bool `yaml:"trust_remote_code"` // vLLM
EnforceEager bool `yaml:"enforce_eager"` // vLLM
SwapSpace int `yaml:"swap_space"` // vLLM
MaxModelLen int `yaml:"max_model_len"` // vLLM
TensorParallelSize int `yaml:"tensor_parallel_size"` // vLLM
MMProj string `yaml:"mmproj"`
FlashAttention bool `yaml:"flash_attention"`
NoKVOffloading bool `yaml:"no_kv_offloading"`
RopeScaling string `yaml:"rope_scaling"`
ModelType string `yaml:"type"`
YarnExtFactor float32 `yaml:"yarn_ext_factor"`
YarnAttnFactor float32 `yaml:"yarn_attn_factor"`
YarnBetaFast float32 `yaml:"yarn_beta_fast"`
YarnBetaSlow float32 `yaml:"yarn_beta_slow"`
}
// AutoGPTQ is a struct that holds the configuration specific to the AutoGPTQ backend
type AutoGPTQ struct {
ModelBaseName string `yaml:"model_base_name"`
Device string `yaml:"device"`
Triton bool `yaml:"triton"`
UseFastTokenizer bool `yaml:"use_fast_tokenizer"`
}
// TemplateConfig is a struct that holds the configuration of the templating system
type TemplateConfig struct {
// Chat is the template used in the chat completion endpoint
Chat string `yaml:"chat"`
// ChatMessage is the template used for chat messages
ChatMessage string `yaml:"chat_message"`
// Completion is the template used for completion requests
Completion string `yaml:"completion"`
// Edit is the template used for edit completion requests
Edit string `yaml:"edit"`
// Functions is the template used when tools are present in the client requests
Functions string `yaml:"function"`
// UseTokenizerTemplate is a flag that indicates if the tokenizer template should be used.
// Note: this is mostly consumed for backends such as vllm and transformers
// that can use the tokenizers specified in the JSON config files of the models
UseTokenizerTemplate bool `yaml:"use_tokenizer_template"`
// JoinChatMessagesByCharacter is a string that will be used to join chat messages together.
// It defaults to \n
JoinChatMessagesByCharacter *string `yaml:"join_chat_messages_by_character"`
}
func (c *BackendConfig) SetFunctionCallString(s string) {
c.functionCallString = s
}
func (c *BackendConfig) SetFunctionCallNameString(s string) {
c.functionCallNameString = s
}
func (c *BackendConfig) ShouldUseFunctions() bool {
return ((c.functionCallString != "none" || c.functionCallString == "") || c.ShouldCallSpecificFunction())
}
func (c *BackendConfig) ShouldCallSpecificFunction() bool {
return len(c.functionCallNameString) > 0
}
// MMProjFileName returns the filename of the MMProj file
// If the MMProj is a URL, it will return the MD5 of the URL which is the filename
func (c *BackendConfig) MMProjFileName() string {
modelURL := downloader.ConvertURL(c.MMProj)
if downloader.LooksLikeURL(modelURL) {
return utils.MD5(modelURL)
}
return c.MMProj
}
func (c *BackendConfig) IsMMProjURL() bool {
return downloader.LooksLikeURL(downloader.ConvertURL(c.MMProj))
}
func (c *BackendConfig) IsModelURL() bool {
return downloader.LooksLikeURL(downloader.ConvertURL(c.Model))
}
// ModelFileName returns the filename of the model
// If the model is a URL, it will return the MD5 of the URL which is the filename
func (c *BackendConfig) ModelFileName() string {
modelURL := downloader.ConvertURL(c.Model)
if downloader.LooksLikeURL(modelURL) {
return utils.MD5(modelURL)
}
return c.Model
}
func (c *BackendConfig) FunctionToCall() string {
if c.functionCallNameString != "" &&
c.functionCallNameString != "none" && c.functionCallNameString != "auto" {
return c.functionCallNameString
}
return c.functionCallString
}
func (cfg *BackendConfig) SetDefaults(opts ...ConfigLoaderOption) {
lo := &LoadOptions{}
lo.Apply(opts...)
ctx := lo.ctxSize
threads := lo.threads
f16 := lo.f16
debug := lo.debug
// https://github.com/ggerganov/llama.cpp/blob/75cd4c77292034ecec587ecb401366f57338f7c0/common/sampling.h#L22
defaultTopP := 0.95
defaultTopK := 40
defaultTemp := 0.9
defaultMirostat := 2
defaultMirostatTAU := 5.0
defaultMirostatETA := 0.1
defaultTypicalP := 1.0
defaultTFZ := 1.0
defaultZero := 0
// Try to offload all GPU layers (if GPU is found)
defaultHigh := 99999999
trueV := true
falseV := false
if cfg.Seed == nil {
// random number generator seed
defaultSeed := RAND_SEED
cfg.Seed = &defaultSeed
}
if cfg.TopK == nil {
cfg.TopK = &defaultTopK
}
if cfg.TypicalP == nil {
cfg.TypicalP = &defaultTypicalP
}
if cfg.TFZ == nil {
cfg.TFZ = &defaultTFZ
}
if cfg.MMap == nil {
// MMap is enabled by default
// Only exception is for Intel GPUs
if os.Getenv("XPU") != "" {
cfg.MMap = &falseV
} else {
cfg.MMap = &trueV
}
}
if cfg.MMlock == nil {
// MMlock is disabled by default
cfg.MMlock = &falseV
}
if cfg.TopP == nil {
cfg.TopP = &defaultTopP
}
if cfg.Temperature == nil {
cfg.Temperature = &defaultTemp
}
if cfg.Maxtokens == nil {
cfg.Maxtokens = &defaultZero
}
if cfg.Mirostat == nil {
cfg.Mirostat = &defaultMirostat
}
if cfg.MirostatETA == nil {
cfg.MirostatETA = &defaultMirostatETA
}
if cfg.MirostatTAU == nil {
cfg.MirostatTAU = &defaultMirostatTAU
}
if cfg.NGPULayers == nil {
cfg.NGPULayers = &defaultHigh
}
if cfg.LowVRAM == nil {
cfg.LowVRAM = &falseV
}
// Value passed by the top level are treated as default (no implicit defaults)
// defaults are set by the user
if ctx == 0 {
ctx = 1024
}
if cfg.ContextSize == nil {
cfg.ContextSize = &ctx
}
if threads == 0 {
// Threads can't be 0
threads = 4
}
if cfg.Threads == nil {
cfg.Threads = &threads
}
if cfg.F16 == nil {
cfg.F16 = &f16
}
if cfg.Debug == nil {
cfg.Debug = &falseV
}
if debug {
cfg.Debug = &trueV
}
}