mirror of
https://github.com/mudler/LocalAI.git
synced 2025-06-11 11:41:37 +00:00
4e4078854b
Even if increasing the quality of the output, it has shown to have performance drawbacks to be so noticeable that the confuses users about speed of LocalAI ( see also https://github.com/mudler/LocalAI/issues/2780 ). This changeset disables Mirostat by default (which can be still enabled manually). Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
410 lines
12 KiB
Go
410 lines
12 KiB
Go
package config
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import (
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"os"
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"regexp"
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"strings"
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"github.com/mudler/LocalAI/core/schema"
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"github.com/mudler/LocalAI/pkg/downloader"
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"github.com/mudler/LocalAI/pkg/functions"
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"github.com/mudler/LocalAI/pkg/utils"
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)
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const (
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RAND_SEED = -1
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)
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type TTSConfig struct {
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// Voice wav path or id
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Voice string `yaml:"voice"`
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// Vall-e-x
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VallE VallE `yaml:"vall-e"`
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}
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type BackendConfig struct {
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schema.PredictionOptions `yaml:"parameters"`
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Name string `yaml:"name"`
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F16 *bool `yaml:"f16"`
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Threads *int `yaml:"threads"`
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Debug *bool `yaml:"debug"`
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Roles map[string]string `yaml:"roles"`
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Embeddings *bool `yaml:"embeddings"`
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Backend string `yaml:"backend"`
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TemplateConfig TemplateConfig `yaml:"template"`
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PromptStrings, InputStrings []string `yaml:"-"`
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InputToken [][]int `yaml:"-"`
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functionCallString, functionCallNameString string `yaml:"-"`
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ResponseFormat string `yaml:"-"`
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ResponseFormatMap map[string]interface{} `yaml:"-"`
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FunctionsConfig functions.FunctionsConfig `yaml:"function"`
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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.
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// LLM configs (GPT4ALL, Llama.cpp, ...)
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LLMConfig `yaml:",inline"`
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// AutoGPTQ specifics
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AutoGPTQ AutoGPTQ `yaml:"autogptq"`
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// Diffusers
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Diffusers Diffusers `yaml:"diffusers"`
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Step int `yaml:"step"`
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// GRPC Options
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GRPC GRPC `yaml:"grpc"`
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// TTS specifics
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TTSConfig `yaml:"tts"`
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// CUDA
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// Explicitly enable CUDA or not (some backends might need it)
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CUDA bool `yaml:"cuda"`
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DownloadFiles []File `yaml:"download_files"`
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Description string `yaml:"description"`
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Usage string `yaml:"usage"`
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}
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type File struct {
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Filename string `yaml:"filename" json:"filename"`
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SHA256 string `yaml:"sha256" json:"sha256"`
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URI string `yaml:"uri" json:"uri"`
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}
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type VallE struct {
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AudioPath string `yaml:"audio_path"`
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}
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type FeatureFlag map[string]*bool
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func (ff FeatureFlag) Enabled(s string) bool {
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v, exist := ff[s]
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return exist && v != nil && *v
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}
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type GRPC struct {
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Attempts int `yaml:"attempts"`
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AttemptsSleepTime int `yaml:"attempts_sleep_time"`
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}
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type Diffusers struct {
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CUDA bool `yaml:"cuda"`
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PipelineType string `yaml:"pipeline_type"`
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SchedulerType string `yaml:"scheduler_type"`
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EnableParameters string `yaml:"enable_parameters"` // A list of comma separated parameters to specify
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CFGScale float32 `yaml:"cfg_scale"` // Classifier-Free Guidance Scale
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IMG2IMG bool `yaml:"img2img"` // Image to Image Diffuser
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ClipSkip int `yaml:"clip_skip"` // Skip every N frames
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ClipModel string `yaml:"clip_model"` // Clip model to use
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ClipSubFolder string `yaml:"clip_subfolder"` // Subfolder to use for clip model
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ControlNet string `yaml:"control_net"`
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}
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// LLMConfig is a struct that holds the configuration that are
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// generic for most of the LLM backends.
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type LLMConfig struct {
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SystemPrompt string `yaml:"system_prompt"`
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TensorSplit string `yaml:"tensor_split"`
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MainGPU string `yaml:"main_gpu"`
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RMSNormEps float32 `yaml:"rms_norm_eps"`
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NGQA int32 `yaml:"ngqa"`
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PromptCachePath string `yaml:"prompt_cache_path"`
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PromptCacheAll bool `yaml:"prompt_cache_all"`
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PromptCacheRO bool `yaml:"prompt_cache_ro"`
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MirostatETA *float64 `yaml:"mirostat_eta"`
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MirostatTAU *float64 `yaml:"mirostat_tau"`
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Mirostat *int `yaml:"mirostat"`
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NGPULayers *int `yaml:"gpu_layers"`
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MMap *bool `yaml:"mmap"`
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MMlock *bool `yaml:"mmlock"`
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LowVRAM *bool `yaml:"low_vram"`
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Grammar string `yaml:"grammar"`
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StopWords []string `yaml:"stopwords"`
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Cutstrings []string `yaml:"cutstrings"`
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TrimSpace []string `yaml:"trimspace"`
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TrimSuffix []string `yaml:"trimsuffix"`
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ContextSize *int `yaml:"context_size"`
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NUMA bool `yaml:"numa"`
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LoraAdapter string `yaml:"lora_adapter"`
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LoraBase string `yaml:"lora_base"`
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LoraScale float32 `yaml:"lora_scale"`
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NoMulMatQ bool `yaml:"no_mulmatq"`
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DraftModel string `yaml:"draft_model"`
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NDraft int32 `yaml:"n_draft"`
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Quantization string `yaml:"quantization"`
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GPUMemoryUtilization float32 `yaml:"gpu_memory_utilization"` // vLLM
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TrustRemoteCode bool `yaml:"trust_remote_code"` // vLLM
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EnforceEager bool `yaml:"enforce_eager"` // vLLM
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SwapSpace int `yaml:"swap_space"` // vLLM
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MaxModelLen int `yaml:"max_model_len"` // vLLM
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TensorParallelSize int `yaml:"tensor_parallel_size"` // vLLM
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MMProj string `yaml:"mmproj"`
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FlashAttention bool `yaml:"flash_attention"`
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NoKVOffloading bool `yaml:"no_kv_offloading"`
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RopeScaling string `yaml:"rope_scaling"`
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ModelType string `yaml:"type"`
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YarnExtFactor float32 `yaml:"yarn_ext_factor"`
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YarnAttnFactor float32 `yaml:"yarn_attn_factor"`
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YarnBetaFast float32 `yaml:"yarn_beta_fast"`
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YarnBetaSlow float32 `yaml:"yarn_beta_slow"`
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}
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// AutoGPTQ is a struct that holds the configuration specific to the AutoGPTQ backend
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type AutoGPTQ struct {
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ModelBaseName string `yaml:"model_base_name"`
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Device string `yaml:"device"`
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Triton bool `yaml:"triton"`
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UseFastTokenizer bool `yaml:"use_fast_tokenizer"`
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}
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// TemplateConfig is a struct that holds the configuration of the templating system
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type TemplateConfig struct {
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// Chat is the template used in the chat completion endpoint
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Chat string `yaml:"chat"`
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// ChatMessage is the template used for chat messages
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ChatMessage string `yaml:"chat_message"`
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// Completion is the template used for completion requests
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Completion string `yaml:"completion"`
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// Edit is the template used for edit completion requests
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Edit string `yaml:"edit"`
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// Functions is the template used when tools are present in the client requests
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Functions string `yaml:"function"`
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// UseTokenizerTemplate is a flag that indicates if the tokenizer template should be used.
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// Note: this is mostly consumed for backends such as vllm and transformers
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// that can use the tokenizers specified in the JSON config files of the models
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UseTokenizerTemplate bool `yaml:"use_tokenizer_template"`
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// JoinChatMessagesByCharacter is a string that will be used to join chat messages together.
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// It defaults to \n
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JoinChatMessagesByCharacter *string `yaml:"join_chat_messages_by_character"`
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}
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func (c *BackendConfig) SetFunctionCallString(s string) {
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c.functionCallString = s
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}
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func (c *BackendConfig) SetFunctionCallNameString(s string) {
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c.functionCallNameString = s
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}
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func (c *BackendConfig) ShouldUseFunctions() bool {
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return ((c.functionCallString != "none" || c.functionCallString == "") || c.ShouldCallSpecificFunction())
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}
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func (c *BackendConfig) ShouldCallSpecificFunction() bool {
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return len(c.functionCallNameString) > 0
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}
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// MMProjFileName returns the filename of the MMProj file
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// If the MMProj is a URL, it will return the MD5 of the URL which is the filename
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func (c *BackendConfig) MMProjFileName() string {
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modelURL := downloader.ConvertURL(c.MMProj)
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if downloader.LooksLikeURL(modelURL) {
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return utils.MD5(modelURL)
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}
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return c.MMProj
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}
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func (c *BackendConfig) IsMMProjURL() bool {
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return downloader.LooksLikeURL(downloader.ConvertURL(c.MMProj))
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}
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func (c *BackendConfig) IsModelURL() bool {
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return downloader.LooksLikeURL(downloader.ConvertURL(c.Model))
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}
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// ModelFileName returns the filename of the model
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// If the model is a URL, it will return the MD5 of the URL which is the filename
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func (c *BackendConfig) ModelFileName() string {
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modelURL := downloader.ConvertURL(c.Model)
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if downloader.LooksLikeURL(modelURL) {
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return utils.MD5(modelURL)
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}
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return c.Model
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}
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func (c *BackendConfig) FunctionToCall() string {
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if c.functionCallNameString != "" &&
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c.functionCallNameString != "none" && c.functionCallNameString != "auto" {
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return c.functionCallNameString
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}
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return c.functionCallString
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}
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func (cfg *BackendConfig) SetDefaults(opts ...ConfigLoaderOption) {
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lo := &LoadOptions{}
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lo.Apply(opts...)
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ctx := lo.ctxSize
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threads := lo.threads
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f16 := lo.f16
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debug := lo.debug
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// https://github.com/ggerganov/llama.cpp/blob/75cd4c77292034ecec587ecb401366f57338f7c0/common/sampling.h#L22
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defaultTopP := 0.95
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defaultTopK := 40
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defaultTemp := 0.9
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// https://github.com/mudler/LocalAI/issues/2780
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defaultMirostat := 0
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defaultMirostatTAU := 5.0
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defaultMirostatETA := 0.1
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defaultTypicalP := 1.0
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defaultTFZ := 1.0
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defaultZero := 0
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// Try to offload all GPU layers (if GPU is found)
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defaultHigh := 99999999
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trueV := true
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falseV := false
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if cfg.Seed == nil {
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// random number generator seed
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defaultSeed := RAND_SEED
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cfg.Seed = &defaultSeed
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}
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if cfg.TopK == nil {
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cfg.TopK = &defaultTopK
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}
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if cfg.TypicalP == nil {
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cfg.TypicalP = &defaultTypicalP
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}
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if cfg.TFZ == nil {
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cfg.TFZ = &defaultTFZ
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}
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if cfg.MMap == nil {
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// MMap is enabled by default
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// Only exception is for Intel GPUs
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if os.Getenv("XPU") != "" {
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cfg.MMap = &falseV
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} else {
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cfg.MMap = &trueV
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}
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}
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if cfg.MMlock == nil {
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// MMlock is disabled by default
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cfg.MMlock = &falseV
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}
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if cfg.TopP == nil {
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cfg.TopP = &defaultTopP
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}
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if cfg.Temperature == nil {
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cfg.Temperature = &defaultTemp
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}
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if cfg.Maxtokens == nil {
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cfg.Maxtokens = &defaultZero
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}
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if cfg.Mirostat == nil {
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cfg.Mirostat = &defaultMirostat
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}
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if cfg.MirostatETA == nil {
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cfg.MirostatETA = &defaultMirostatETA
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}
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if cfg.MirostatTAU == nil {
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cfg.MirostatTAU = &defaultMirostatTAU
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}
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if cfg.NGPULayers == nil {
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cfg.NGPULayers = &defaultHigh
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}
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if cfg.LowVRAM == nil {
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cfg.LowVRAM = &falseV
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}
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if cfg.Embeddings == nil {
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cfg.Embeddings = &falseV
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}
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// Value passed by the top level are treated as default (no implicit defaults)
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// defaults are set by the user
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if ctx == 0 {
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ctx = 1024
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}
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if cfg.ContextSize == nil {
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cfg.ContextSize = &ctx
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}
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if threads == 0 {
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// Threads can't be 0
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threads = 4
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}
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if cfg.Threads == nil {
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cfg.Threads = &threads
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}
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if cfg.F16 == nil {
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cfg.F16 = &f16
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}
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if cfg.Debug == nil {
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cfg.Debug = &falseV
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}
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if debug {
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cfg.Debug = &trueV
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}
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guessDefaultsFromFile(cfg, lo.modelPath)
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}
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func (c *BackendConfig) Validate() bool {
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downloadedFileNames := []string{}
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for _, f := range c.DownloadFiles {
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downloadedFileNames = append(downloadedFileNames, f.Filename)
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}
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validationTargets := []string{c.Backend, c.Model, c.MMProj}
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validationTargets = append(validationTargets, downloadedFileNames...)
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// Simple validation to make sure the model can be correctly loaded
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for _, n := range validationTargets {
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if n == "" {
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continue
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}
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if strings.HasPrefix(n, string(os.PathSeparator)) ||
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strings.Contains(n, "..") {
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return false
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}
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}
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if c.Backend != "" {
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// a regex that checks that is a string name with no special characters, except '-' and '_'
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re := regexp.MustCompile(`^[a-zA-Z0-9-_]+$`)
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return re.MatchString(c.Backend)
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}
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return true
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}
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func (c *BackendConfig) HasTemplate() bool {
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return c.TemplateConfig.Completion != "" || c.TemplateConfig.Edit != "" || c.TemplateConfig.Chat != "" || c.TemplateConfig.ChatMessage != ""
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}
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