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78 lines
1.9 KiB
78 lines
1.9 KiB
package main
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import (
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"fmt"
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"os"
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"runtime"
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api "github.com/go-skynet/LocalAI/api"
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model "github.com/go-skynet/LocalAI/pkg/model"
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"github.com/urfave/cli/v2"
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)
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func main() {
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path, err := os.Getwd()
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if err != nil {
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fmt.Println(err)
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os.Exit(1)
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}
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app := &cli.App{
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Name: "LocalAI",
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Usage: "OpenAI compatible API for running LLaMA/GPT models locally on CPU with consumer grade hardware.",
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Flags: []cli.Flag{
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&cli.BoolFlag{
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Name: "f16",
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EnvVars: []string{"F16"},
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},
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&cli.IntFlag{
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Name: "threads",
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DefaultText: "Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested.",
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EnvVars: []string{"THREADS"},
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Value: runtime.NumCPU(),
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},
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&cli.StringFlag{
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Name: "models-path",
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DefaultText: "Path containing models used for inferencing",
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EnvVars: []string{"MODELS_PATH"},
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Value: path,
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},
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&cli.StringFlag{
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Name: "address",
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DefaultText: "Bind address for the API server.",
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EnvVars: []string{"ADDRESS"},
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Value: ":8080",
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},
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&cli.IntFlag{
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Name: "context-size",
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DefaultText: "Default context size of the model",
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EnvVars: []string{"CONTEXT_SIZE"},
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Value: 512,
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},
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},
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Description: `
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LocalAI is a drop-in replacement OpenAI API which runs inference locally.
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Some of the models compatible are:
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- Vicuna
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- Koala
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- GPT4ALL
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- GPT4ALL-J
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- Alpaca
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It uses llama.cpp and gpt4all as backend, supporting all the models supported by both.
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`,
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UsageText: `local-ai [options]`,
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Copyright: "go-skynet authors",
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Action: func(ctx *cli.Context) error {
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return api.Start(model.NewModelLoader(ctx.String("models-path")), ctx.String("address"), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"))
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},
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}
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err = app.Run(os.Args)
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if err != nil {
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fmt.Println(err)
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os.Exit(1)
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}
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}
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