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feat(llama.cpp): do not specify backends to autoload and add llama.cpp variants (#2232)

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* feat(initializer): do not specify backends to autoload

We can simply try to autoload the backends extracted in the asset dir.
This will allow to build variants of the same backend (for e.g. with different instructions sets),
so to have a single binary for all the variants.

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

* refactor(prepare): refactor out llama.cpp prepare steps

Make it so are idempotent and that we can re-build

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

* [TEST] feat(build): build noavx version along

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

* build: make build parallel

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

* build: do not override CMAKE_ARGS

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

* build: add fallback variant

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

* Fixups

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

* fix(huggingface-langchain): fail if no token is set

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

* fix(huggingface-langchain): rename

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

* fix: do not autoload local-store

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

* fix: give priority between the listed backends

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

---------

Signed-off-by: mudler <mudler@localai.io>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto 2024-05-04 17:56:12 +02:00 • committed by GitHub
parent fa10302dd2
commit 530bec9c64
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7 changed files with 161 additions and 54 deletions
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10
backend/go/llm/langchain/langchain.go
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@ -4,6 +4,7 @@ package main
// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
import (
"fmt"
"os"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
@ -18,9 +19,14 @@ type LLM struct {
}
func (llm *LLM) Load(opts *pb.ModelOptions) error {
llm.langchain, _ = langchain.NewHuggingFace(opts.Model)
var err error
hfToken := os.Getenv("HUGGINGFACEHUB_API_TOKEN")
if hfToken == "" {
return fmt.Errorf("no huggingface token provided")
}
llm.langchain, err = langchain.NewHuggingFace(opts.Model, hfToken)
llm.model = opts.Model
return nil
return err
}
func (llm *LLM) Predict(opts *pb.PredictOptions) (string, error) {