mirror of https://github.com/mudler/LocalAI.git
128 lines
3.7 KiB
Go
128 lines
3.7 KiB
Go
package backend
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import (
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"os"
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"path/filepath"
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"github.com/go-skynet/LocalAI/core/config"
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pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
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model "github.com/go-skynet/LocalAI/pkg/model"
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)
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func modelOpts(c config.BackendConfig, so *config.ApplicationConfig, opts []model.Option) []model.Option {
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if so.SingleBackend {
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opts = append(opts, model.WithSingleActiveBackend())
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}
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if so.ParallelBackendRequests {
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opts = append(opts, model.EnableParallelRequests)
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}
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if c.GRPC.Attempts != 0 {
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opts = append(opts, model.WithGRPCAttempts(c.GRPC.Attempts))
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}
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if c.GRPC.AttemptsSleepTime != 0 {
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opts = append(opts, model.WithGRPCAttemptsDelay(c.GRPC.AttemptsSleepTime))
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}
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for k, v := range so.ExternalGRPCBackends {
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opts = append(opts, model.WithExternalBackend(k, v))
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}
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return opts
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}
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func gRPCModelOpts(c config.BackendConfig) *pb.ModelOptions {
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b := 512
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if c.Batch != 0 {
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b = c.Batch
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}
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return &pb.ModelOptions{
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ContextSize: int32(c.ContextSize),
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Seed: int32(c.Seed),
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NBatch: int32(b),
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NoMulMatQ: c.NoMulMatQ,
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CUDA: c.CUDA, // diffusers, transformers
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DraftModel: c.DraftModel,
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AudioPath: c.VallE.AudioPath,
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Quantization: c.Quantization,
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MMProj: c.MMProj,
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YarnExtFactor: c.YarnExtFactor,
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YarnAttnFactor: c.YarnAttnFactor,
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YarnBetaFast: c.YarnBetaFast,
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YarnBetaSlow: c.YarnBetaSlow,
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LoraAdapter: c.LoraAdapter,
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LoraBase: c.LoraBase,
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LoraScale: c.LoraScale,
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NGQA: c.NGQA,
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RMSNormEps: c.RMSNormEps,
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F16Memory: c.F16,
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MLock: c.MMlock,
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RopeFreqBase: c.RopeFreqBase,
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RopeScaling: c.RopeScaling,
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Type: c.ModelType,
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RopeFreqScale: c.RopeFreqScale,
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NUMA: c.NUMA,
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Embeddings: c.Embeddings,
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LowVRAM: c.LowVRAM,
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NGPULayers: int32(c.NGPULayers),
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MMap: c.MMap,
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MainGPU: c.MainGPU,
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Threads: int32(c.Threads),
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TensorSplit: c.TensorSplit,
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// AutoGPTQ
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ModelBaseName: c.AutoGPTQ.ModelBaseName,
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Device: c.AutoGPTQ.Device,
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UseTriton: c.AutoGPTQ.Triton,
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UseFastTokenizer: c.AutoGPTQ.UseFastTokenizer,
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// RWKV
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Tokenizer: c.Tokenizer,
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}
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}
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func gRPCPredictOpts(c config.BackendConfig, modelPath string) *pb.PredictOptions {
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promptCachePath := ""
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if c.PromptCachePath != "" {
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p := filepath.Join(modelPath, c.PromptCachePath)
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os.MkdirAll(filepath.Dir(p), 0755)
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promptCachePath = p
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}
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return &pb.PredictOptions{
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Temperature: float32(c.Temperature),
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TopP: float32(c.TopP),
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NDraft: c.NDraft,
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TopK: int32(c.TopK),
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Tokens: int32(c.Maxtokens),
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Threads: int32(c.Threads),
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PromptCacheAll: c.PromptCacheAll,
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PromptCacheRO: c.PromptCacheRO,
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PromptCachePath: promptCachePath,
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F16KV: c.F16,
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DebugMode: c.Debug,
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Grammar: c.Grammar,
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NegativePromptScale: c.NegativePromptScale,
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RopeFreqBase: c.RopeFreqBase,
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RopeFreqScale: c.RopeFreqScale,
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NegativePrompt: c.NegativePrompt,
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Mirostat: int32(c.LLMConfig.Mirostat),
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MirostatETA: float32(c.LLMConfig.MirostatETA),
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MirostatTAU: float32(c.LLMConfig.MirostatTAU),
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Debug: c.Debug,
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StopPrompts: c.StopWords,
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Repeat: int32(c.RepeatPenalty),
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NKeep: int32(c.Keep),
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Batch: int32(c.Batch),
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IgnoreEOS: c.IgnoreEOS,
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Seed: int32(c.Seed),
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FrequencyPenalty: float32(c.FrequencyPenalty),
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MLock: c.MMlock,
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MMap: c.MMap,
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MainGPU: c.MainGPU,
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TensorSplit: c.TensorSplit,
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TailFreeSamplingZ: float32(c.TFZ),
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TypicalP: float32(c.TypicalP),
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}
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}
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