LocalAI/api/backend/options.go

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package backend
import (
"os"
"path/filepath"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
model "github.com/go-skynet/LocalAI/pkg/model"
config "github.com/go-skynet/LocalAI/api/config"
"github.com/go-skynet/LocalAI/api/options"
)
func modelOpts(c config.Config, o *options.Option, opts []model.Option) []model.Option {
if o.SingleBackend {
opts = append(opts, model.WithSingleActiveBackend())
}
if c.GRPC.Attempts != 0 {
opts = append(opts, model.WithGRPCAttempts(c.GRPC.Attempts))
}
if c.GRPC.AttemptsSleepTime != 0 {
opts = append(opts, model.WithGRPCAttemptsDelay(c.GRPC.AttemptsSleepTime))
}
for k, v := range o.ExternalGRPCBackends {
opts = append(opts, model.WithExternalBackend(k, v))
}
return opts
}
func gRPCModelOpts(c config.Config) *pb.ModelOptions {
b := 512
if c.Batch != 0 {
b = c.Batch
}
return &pb.ModelOptions{
ContextSize: int32(c.ContextSize),
Seed: int32(c.Seed),
NBatch: int32(b),
NoMulMatQ: c.NoMulMatQ,
LoraAdapter: c.LoraAdapter,
LoraBase: c.LoraBase,
NGQA: c.NGQA,
RMSNormEps: c.RMSNormEps,
F16Memory: c.F16,
MLock: c.MMlock,
RopeFreqBase: c.RopeFreqBase,
RopeFreqScale: c.RopeFreqScale,
NUMA: c.NUMA,
Embeddings: c.Embeddings,
LowVRAM: c.LowVRAM,
NGPULayers: int32(c.NGPULayers),
MMap: c.MMap,
MainGPU: c.MainGPU,
Threads: int32(c.Threads),
TensorSplit: c.TensorSplit,
// AutoGPTQ
ModelBaseName: c.AutoGPTQ.ModelBaseName,
Device: c.AutoGPTQ.Device,
UseTriton: c.AutoGPTQ.Triton,
UseFastTokenizer: c.AutoGPTQ.UseFastTokenizer,
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// RWKV
Tokenizer: c.Tokenizer,
}
}
func gRPCPredictOpts(c config.Config, modelPath string) *pb.PredictOptions {
promptCachePath := ""
if c.PromptCachePath != "" {
p := filepath.Join(modelPath, c.PromptCachePath)
os.MkdirAll(filepath.Dir(p), 0755)
promptCachePath = p
}
return &pb.PredictOptions{
Temperature: float32(c.Temperature),
TopP: float32(c.TopP),
TopK: int32(c.TopK),
Tokens: int32(c.Maxtokens),
Threads: int32(c.Threads),
PromptCacheAll: c.PromptCacheAll,
PromptCacheRO: c.PromptCacheRO,
PromptCachePath: promptCachePath,
F16KV: c.F16,
DebugMode: c.Debug,
Grammar: c.Grammar,
NegativePromptScale: c.NegativePromptScale,
RopeFreqBase: c.RopeFreqBase,
RopeFreqScale: c.RopeFreqScale,
NegativePrompt: c.NegativePrompt,
Mirostat: int32(c.LLMConfig.Mirostat),
MirostatETA: float32(c.LLMConfig.MirostatETA),
MirostatTAU: float32(c.LLMConfig.MirostatTAU),
Debug: c.Debug,
StopPrompts: c.StopWords,
Repeat: int32(c.RepeatPenalty),
NKeep: int32(c.Keep),
Batch: int32(c.Batch),
IgnoreEOS: c.IgnoreEOS,
Seed: int32(c.Seed),
FrequencyPenalty: float32(c.FrequencyPenalty),
MLock: c.MMlock,
MMap: c.MMap,
MainGPU: c.MainGPU,
TensorSplit: c.TensorSplit,
TailFreeSamplingZ: float32(c.TFZ),
TypicalP: float32(c.TypicalP),
}
}