mirror of
https://github.com/mudler/LocalAI.git
synced 2026-02-03 03:02:38 -05:00
Compare commits
37 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
3f739575d8 | ||
|
|
7e4616646f | ||
|
|
44ffaf86ad | ||
|
|
d096644c67 | ||
|
|
1428600de4 | ||
|
|
17b18df600 | ||
|
|
cd81dbae1c | ||
|
|
76be06ed56 | ||
|
|
c2026e01c0 | ||
|
|
cdca286be1 | ||
|
|
41de6efca9 | ||
|
|
63a4ccebdc | ||
|
|
9237c1e91d | ||
|
|
9d051c5d4f | ||
|
|
acd03d15f2 | ||
|
|
a035de2fdd | ||
|
|
76a1267799 | ||
|
|
e533b008d4 | ||
|
|
a4380228e3 | ||
|
|
2a9d7474ce | ||
|
|
850a690290 | ||
|
|
39edd9ff73 | ||
|
|
b82bbbfc6b | ||
|
|
023c065812 | ||
|
|
a627a6c4e2 | ||
|
|
6c9ddff8e9 | ||
|
|
c5318587b8 | ||
|
|
c3622299ce | ||
|
|
de36a48861 | ||
|
|
961ca93219 | ||
|
|
557ccc5ad8 | ||
|
|
2488c445b6 | ||
|
|
b4241d0a0d | ||
|
|
8250391e49 | ||
|
|
fd1df4e971 | ||
|
|
5115b2faa3 | ||
|
|
93e82a8bf4 |
@@ -1,2 +1,4 @@
|
||||
models
|
||||
examples/chatbot-ui/models
|
||||
examples/chatbot-ui/models
|
||||
examples/rwkv/models
|
||||
examples/**/models
|
||||
|
||||
5
.github/workflows/bump_deps.yaml
vendored
5
.github/workflows/bump_deps.yaml
vendored
@@ -9,9 +9,6 @@ jobs:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
include:
|
||||
- repository: "go-skynet/go-gpt4all-j.cpp"
|
||||
variable: "GOGPT4ALLJ_VERSION"
|
||||
branch: "master"
|
||||
- repository: "go-skynet/go-llama.cpp"
|
||||
variable: "GOLLAMA_VERSION"
|
||||
branch: "master"
|
||||
@@ -30,7 +27,7 @@ jobs:
|
||||
- repository: "go-skynet/bloomz.cpp"
|
||||
variable: "BLOOMZ_VERSION"
|
||||
branch: "main"
|
||||
- repository: "go-skynet/gpt4all"
|
||||
- repository: "nomic-ai/gpt4all"
|
||||
variable: "GPT4ALL_VERSION"
|
||||
branch: "main"
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
4
.github/workflows/test.yml
vendored
4
.github/workflows/test.yml
vendored
@@ -21,7 +21,7 @@ jobs:
|
||||
- name: Dependencies
|
||||
run: |
|
||||
sudo apt-get update
|
||||
sudo apt-get install build-essential
|
||||
sudo apt-get install build-essential ffmpeg
|
||||
- name: Test
|
||||
run: |
|
||||
make test
|
||||
@@ -38,7 +38,7 @@ jobs:
|
||||
- name: Dependencies
|
||||
run: |
|
||||
brew update
|
||||
brew install sdl2
|
||||
brew install sdl2 ffmpeg
|
||||
- name: Test
|
||||
run: |
|
||||
make test
|
||||
3
.gitignore
vendored
3
.gitignore
vendored
@@ -1,6 +1,7 @@
|
||||
# go-llama build artifacts
|
||||
go-llama
|
||||
go-gpt4all-j
|
||||
gpt4all
|
||||
go-stable-diffusion
|
||||
go-gpt2
|
||||
go-rwkv
|
||||
whisper.cpp
|
||||
|
||||
@@ -2,8 +2,9 @@ ARG GO_VERSION=1.20
|
||||
ARG BUILD_TYPE=
|
||||
FROM golang:$GO_VERSION
|
||||
WORKDIR /build
|
||||
RUN apt-get update && apt-get install -y cmake
|
||||
RUN apt-get update && apt-get install -y cmake libgomp1 libopenblas-dev libopenblas-base libopencv-dev libopencv-core-dev libopencv-core4.5
|
||||
COPY . .
|
||||
RUN ln -s /usr/include/opencv4/opencv2/ /usr/include/opencv2
|
||||
RUN make prepare-sources
|
||||
EXPOSE 8080
|
||||
ENTRYPOINT [ "/build/entrypoint.sh" ]
|
||||
|
||||
@@ -4,7 +4,8 @@ ARG BUILD_TYPE=
|
||||
|
||||
FROM golang:$GO_VERSION as builder
|
||||
WORKDIR /build
|
||||
RUN apt-get update && apt-get install -y cmake
|
||||
RUN apt-get update && apt-get install -y cmake libgomp1 libopenblas-dev libopenblas-base libopencv-dev libopencv-core-dev libopencv-core4.5
|
||||
RUN ln -s /usr/include/opencv4/opencv2/ /usr/include/opencv2
|
||||
COPY . .
|
||||
RUN make build
|
||||
|
||||
|
||||
79
Makefile
79
Makefile
@@ -3,16 +3,23 @@ GOTEST=$(GOCMD) test
|
||||
GOVET=$(GOCMD) vet
|
||||
BINARY_NAME=local-ai
|
||||
|
||||
GOLLAMA_VERSION?=c03e8adbc45c866e0f6d876af1887d6b01d57eb4
|
||||
GPT4ALL_REPO?=https://github.com/go-skynet/gpt4all
|
||||
GPT4ALL_VERSION?=3657f9417e17edf378c27d0a9274a1bf41caa914
|
||||
GOGPT2_VERSION?=6a10572
|
||||
GOLLAMA_VERSION?=7f9ae4246088f0c08ed322acbae21d69cd2eb547
|
||||
GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
|
||||
GPT4ALL_VERSION?=a07237e54fcdfdb351913587052ac061a2a7bdff
|
||||
GOGPT2_VERSION?=7bff56f0224502c1c9ed6258d2a17e8084628827
|
||||
RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
|
||||
RWKV_VERSION?=07166da10cb2a9e8854395a4f210464dcea76e47
|
||||
WHISPER_CPP_VERSION?=bf2449dfae35a46b2cd92ab22661ce81a48d4993
|
||||
BERT_VERSION?=ec771ec715576ac050263bb7bb74bfd616a5ba13
|
||||
WHISPER_CPP_VERSION?=95b02d76b04d18e4ce37ed8353a1f0797f1717ea
|
||||
BERT_VERSION?=cea1ed76a7f48ef386a8e369f6c82c48cdf2d551
|
||||
BLOOMZ_VERSION?=e9366e82abdfe70565644fbfae9651976714efd1
|
||||
BUILD_TYPE?=
|
||||
CGO_LDFLAGS?=
|
||||
CUDA_LIBPATH?=/usr/local/cuda/lib64/
|
||||
STABLEDIFFUSION_VERSION?=c0748eca3642d58bcf9521108bcee46959c647dc
|
||||
|
||||
GO_TAGS?=
|
||||
|
||||
OPTIONAL_TARGETS?=
|
||||
|
||||
GREEN := $(shell tput -Txterm setaf 2)
|
||||
YELLOW := $(shell tput -Txterm setaf 3)
|
||||
@@ -20,18 +27,20 @@ WHITE := $(shell tput -Txterm setaf 7)
|
||||
CYAN := $(shell tput -Txterm setaf 6)
|
||||
RESET := $(shell tput -Txterm sgr0)
|
||||
|
||||
C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
|
||||
LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
|
||||
C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
|
||||
LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
|
||||
|
||||
# Use this if you want to set the default behavior
|
||||
ifndef BUILD_TYPE
|
||||
BUILD_TYPE:=default
|
||||
ifeq ($(BUILD_TYPE),openblas)
|
||||
CGO_LDFLAGS+=-lopenblas
|
||||
endif
|
||||
|
||||
ifeq ($(BUILD_TYPE), "generic")
|
||||
GENERIC_PREFIX:=generic-
|
||||
else
|
||||
GENERIC_PREFIX:=
|
||||
ifeq ($(BUILD_TYPE),cublas)
|
||||
CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH)
|
||||
endif
|
||||
|
||||
|
||||
ifeq ($(GO_TAGS),stablediffusion)
|
||||
OPTIONAL_TARGETS+=go-stable-diffusion/libstablediffusion.a
|
||||
endif
|
||||
|
||||
.PHONY: all test build vendor
|
||||
@@ -67,6 +76,14 @@ go-bert:
|
||||
@find ./go-bert -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_bert_/g' {} +
|
||||
@find ./go-bert -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_bert_/g' {} +
|
||||
|
||||
## stable diffusion
|
||||
go-stable-diffusion:
|
||||
git clone --recurse-submodules https://github.com/mudler/go-stable-diffusion go-stable-diffusion
|
||||
cd go-stable-diffusion && git checkout -b build $(STABLEDIFFUSION_VERSION) && git submodule update --init --recursive --depth 1
|
||||
|
||||
go-stable-diffusion/libstablediffusion.a:
|
||||
$(MAKE) -C go-stable-diffusion libstablediffusion.a
|
||||
|
||||
## RWKV
|
||||
go-rwkv:
|
||||
git clone --recurse-submodules $(RWKV_REPO) go-rwkv
|
||||
@@ -94,7 +111,7 @@ go-bert/libgobert.a: go-bert
|
||||
$(MAKE) -C go-bert libgobert.a
|
||||
|
||||
gpt4all/gpt4all-bindings/golang/libgpt4all.a: gpt4all
|
||||
$(MAKE) -C gpt4all/gpt4all-bindings/golang/ $(GENERIC_PREFIX)libgpt4all.a
|
||||
$(MAKE) -C gpt4all/gpt4all-bindings/golang/ libgpt4all.a
|
||||
|
||||
## CEREBRAS GPT
|
||||
go-gpt2:
|
||||
@@ -113,11 +130,14 @@ go-gpt2:
|
||||
@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
|
||||
|
||||
go-gpt2/libgpt2.a: go-gpt2
|
||||
$(MAKE) -C go-gpt2 $(GENERIC_PREFIX)libgpt2.a
|
||||
$(MAKE) -C go-gpt2 libgpt2.a
|
||||
|
||||
whisper.cpp:
|
||||
git clone https://github.com/ggerganov/whisper.cpp.git
|
||||
cd whisper.cpp && git checkout -b build $(WHISPER_CPP_VERSION) && git submodule update --init --recursive --depth 1
|
||||
@find ./whisper.cpp -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_whisper_/g' {} +
|
||||
@find ./whisper.cpp -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_whisper_/g' {} +
|
||||
@find ./whisper.cpp -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_whisper_/g' {} +
|
||||
|
||||
whisper.cpp/libwhisper.a: whisper.cpp
|
||||
cd whisper.cpp && make libwhisper.a
|
||||
@@ -127,18 +147,19 @@ go-llama:
|
||||
cd go-llama && git checkout -b build $(GOLLAMA_VERSION) && git submodule update --init --recursive --depth 1
|
||||
|
||||
go-llama/libbinding.a: go-llama
|
||||
$(MAKE) -C go-llama $(GENERIC_PREFIX)libbinding.a
|
||||
$(MAKE) -C go-llama BUILD_TYPE=$(BUILD_TYPE) libbinding.a
|
||||
|
||||
replace:
|
||||
$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
|
||||
$(GOCMD) mod edit -replace github.com/nomic/gpt4all/gpt4all-bindings/golang=$(shell pwd)/gpt4all/gpt4all-bindings/golang
|
||||
$(GOCMD) mod edit -replace github.com/nomic-ai/gpt4all/gpt4all-bindings/golang=$(shell pwd)/gpt4all/gpt4all-bindings/golang
|
||||
$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt2.cpp=$(shell pwd)/go-gpt2
|
||||
$(GOCMD) mod edit -replace github.com/donomii/go-rwkv.cpp=$(shell pwd)/go-rwkv
|
||||
$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp=$(shell pwd)/whisper.cpp
|
||||
$(GOCMD) mod edit -replace github.com/go-skynet/go-bert.cpp=$(shell pwd)/go-bert
|
||||
$(GOCMD) mod edit -replace github.com/go-skynet/bloomz.cpp=$(shell pwd)/bloomz
|
||||
$(GOCMD) mod edit -replace github.com/mudler/go-stable-diffusion=$(shell pwd)/go-stable-diffusion
|
||||
|
||||
prepare-sources: go-llama go-gpt2 gpt4all go-rwkv whisper.cpp go-bert bloomz replace
|
||||
prepare-sources: go-llama go-gpt2 gpt4all go-rwkv whisper.cpp go-bert bloomz go-stable-diffusion replace
|
||||
$(GOCMD) mod download
|
||||
|
||||
## GENERIC
|
||||
@@ -148,19 +169,22 @@ rebuild: ## Rebuilds the project
|
||||
$(MAKE) -C go-gpt2 clean
|
||||
$(MAKE) -C go-rwkv clean
|
||||
$(MAKE) -C whisper.cpp clean
|
||||
$(MAKE) -C go-stable-diffusion clean
|
||||
$(MAKE) -C go-bert clean
|
||||
$(MAKE) -C bloomz clean
|
||||
$(MAKE) build
|
||||
|
||||
prepare: prepare-sources gpt4all/gpt4all-bindings/golang/libgpt4all.a go-llama/libbinding.a go-bert/libgobert.a go-gpt2/libgpt2.a go-rwkv/librwkv.a whisper.cpp/libwhisper.a bloomz/libbloomz.a ## Prepares for building
|
||||
prepare: prepare-sources gpt4all/gpt4all-bindings/golang/libgpt4all.a $(OPTIONAL_TARGETS) go-llama/libbinding.a go-bert/libgobert.a go-gpt2/libgpt2.a go-rwkv/librwkv.a whisper.cpp/libwhisper.a bloomz/libbloomz.a ## Prepares for building
|
||||
|
||||
clean: ## Remove build related file
|
||||
rm -fr ./go-llama
|
||||
rm -rf ./gpt4all
|
||||
rm -rf ./go-stable-diffusion
|
||||
rm -rf ./go-gpt2
|
||||
rm -rf ./go-rwkv
|
||||
rm -rf ./go-bert
|
||||
rm -rf ./bloomz
|
||||
rm -rf ./whisper.cpp
|
||||
rm -rf $(BINARY_NAME)
|
||||
|
||||
## Build:
|
||||
@@ -168,23 +192,30 @@ clean: ## Remove build related file
|
||||
build: prepare ## Build the project
|
||||
$(info ${GREEN}I local-ai build info:${RESET})
|
||||
$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
|
||||
C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) build -x -o $(BINARY_NAME) ./
|
||||
$(info ${GREEN}I GO_TAGS: ${YELLOW}$(GO_TAGS)${RESET})
|
||||
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) build -tags "$(GO_TAGS)" -x -o $(BINARY_NAME) ./
|
||||
|
||||
generic-build: ## Build the project using generic
|
||||
BUILD_TYPE="generic" $(MAKE) build
|
||||
|
||||
## Run
|
||||
run: prepare ## run local-ai
|
||||
C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) run ./main.go
|
||||
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) run ./main.go
|
||||
|
||||
test-models/testmodel:
|
||||
mkdir test-models
|
||||
mkdir test-dir
|
||||
wget https://huggingface.co/concedo/cerebras-111M-ggml/resolve/main/cerberas-111m-q4_0.bin -O test-models/testmodel
|
||||
wget https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
|
||||
wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O test-models/bert
|
||||
wget https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
|
||||
wget https://huggingface.co/imxcstar/rwkv-4-raven-ggml/resolve/main/RWKV-4-Raven-1B5-v11-Eng99%25-Other1%25-20230425-ctx4096-16_Q4_2.bin -O test-models/rwkv
|
||||
wget https://raw.githubusercontent.com/saharNooby/rwkv.cpp/5eb8f09c146ea8124633ab041d9ea0b1f1db4459/rwkv/20B_tokenizer.json -O test-models/rwkv.tokenizer.json
|
||||
cp tests/fixtures/* test-models
|
||||
|
||||
test: prepare test-models/testmodel
|
||||
cp tests/fixtures/* test-models
|
||||
@C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo -v -r ./api
|
||||
@C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} TEST_DIR=$(abspath ./)/test-dir/ CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo -v -r ./api
|
||||
|
||||
## Help:
|
||||
help: ## Show this help.
|
||||
|
||||
262
README.md
262
README.md
@@ -9,13 +9,13 @@
|
||||
|
||||
[](https://discord.gg/uJAeKSAGDy)
|
||||
|
||||
**LocalAI** is a drop-in replacement REST API compatible with OpenAI for local CPU inferencing. It allows to run models locally or on-prem with consumer grade hardware, supporting multiple models families. Supports also GPT4ALL-J which is licensed under Apache 2.0.
|
||||
**LocalAI** is a drop-in replacement REST API compatible with OpenAI API specifications for local inferencing. It allows to run models locally or on-prem with consumer grade hardware, supporting multiple models families compatible with the `ggml` format. For a list of the supported model families, see [the model compatibility table below](https://github.com/go-skynet/LocalAI#model-compatibility-table).
|
||||
|
||||
- OpenAI compatible API
|
||||
- Supports multiple models
|
||||
- OpenAI drop-in alternative REST API
|
||||
- Supports multiple models, Audio transcription, Text generation with GPTs, Image generation with stable diffusion (experimental)
|
||||
- Once loaded the first time, it keep models loaded in memory for faster inference
|
||||
- Support for prompt templates
|
||||
- Doesn't shell-out, but uses C bindings for a faster inference and better performance.
|
||||
- Doesn't shell-out, but uses C++ bindings for a faster inference and better performance.
|
||||
|
||||
LocalAI is a community-driven project, focused on making the AI accessible to anyone. Any contribution, feedback and PR is welcome! It was initially created by [mudler](https://github.com/mudler/) at the [SpectroCloud OSS Office](https://github.com/spectrocloud).
|
||||
|
||||
@@ -23,10 +23,30 @@ LocalAI uses C++ bindings for optimizing speed. It is based on [llama.cpp](https
|
||||
|
||||
See [examples on how to integrate LocalAI](https://github.com/go-skynet/LocalAI/tree/master/examples/).
|
||||
|
||||
|
||||
### How does it work?
|
||||
|
||||
<details>
|
||||
|
||||

|
||||
|
||||
</details>
|
||||
|
||||
## News
|
||||
|
||||
- 11-05-2023: __1.9.0__ released! 🔥 Important whisper updates ( https://github.com/go-skynet/LocalAI/pull/233 https://github.com/go-skynet/LocalAI/pull/229 ) and extended gpt4all model families support ( https://github.com/go-skynet/LocalAI/pull/232 ). Redpajama/dolly experimental ( https://github.com/go-skynet/LocalAI/pull/214 )
|
||||
- 10-05-2023: __1.8.0__ released! 🔥 Added support for fast and accurate embeddings with `bert.cpp` ( https://github.com/go-skynet/LocalAI/pull/222 )
|
||||
- 16-05-2023: 🔥🔥🔥 Experimental support for CUDA (https://github.com/go-skynet/LocalAI/pull/258) in the `llama.cpp` backend and Stable diffusion CPU image generation (https://github.com/go-skynet/LocalAI/pull/272) in `master`.
|
||||
|
||||
Now LocalAI can generate images too:
|
||||
|
||||
| mode=0 | mode=1 (winograd/sgemm) |
|
||||
|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|
|
||||
|  |  |
|
||||
|
||||
- 14-05-2023: __v1.11.1__ released! `rwkv` backend patch release
|
||||
- 13-05-2023: __v1.11.0__ released! 🔥 Updated `llama.cpp` bindings: This update includes a breaking change in the model files ( https://github.com/ggerganov/llama.cpp/pull/1405 ) - old models should still work with the `gpt4all-llama` backend.
|
||||
- 12-05-2023: __v1.10.0__ released! 🔥🔥 Updated `gpt4all` bindings. Added support for GPTNeox (experimental), RedPajama (experimental), Starcoder (experimental), Replit (experimental), MosaicML MPT. Also now `embeddings` endpoint supports tokens arrays. See the [langchain-chroma](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-chroma) example! Note - this update does NOT include https://github.com/ggerganov/llama.cpp/pull/1405 which makes models incompatible.
|
||||
- 11-05-2023: __v1.9.0__ released! 🔥 Important whisper updates ( https://github.com/go-skynet/LocalAI/pull/233 https://github.com/go-skynet/LocalAI/pull/229 ) and extended gpt4all model families support ( https://github.com/go-skynet/LocalAI/pull/232 ). Redpajama/dolly experimental ( https://github.com/go-skynet/LocalAI/pull/214 )
|
||||
- 10-05-2023: __v1.8.0__ released! 🔥 Added support for fast and accurate embeddings with `bert.cpp` ( https://github.com/go-skynet/LocalAI/pull/222 )
|
||||
- 09-05-2023: Added experimental support for transcriptions endpoint ( https://github.com/go-skynet/LocalAI/pull/211 )
|
||||
- 08-05-2023: Support for embeddings with models using the `llama.cpp` backend ( https://github.com/go-skynet/LocalAI/pull/207 )
|
||||
- 02-05-2023: Support for `rwkv.cpp` models ( https://github.com/go-skynet/LocalAI/pull/158 ) and for `/edits` endpoint
|
||||
@@ -36,7 +56,8 @@ Twitter: [@LocalAI_API](https://twitter.com/LocalAI_API) and [@mudler_it](https:
|
||||
|
||||
### Blogs and articles
|
||||
|
||||
- [Tutorial to use k8sgpt with LocalAI](https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65) - excellent usecase for localAI, using AI to analyse Kubernetes clusters.
|
||||
- [Question Answering on Documents locally with LangChain, LocalAI, Chroma, and GPT4All](https://mudler.pm/posts/localai-question-answering/) by Ettore Di Giacinto
|
||||
- [Tutorial to use k8sgpt with LocalAI](https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65) - excellent usecase for localAI, using AI to analyse Kubernetes clusters. by Tyller Gillson
|
||||
|
||||
## Contribute and help
|
||||
|
||||
@@ -57,16 +78,14 @@ It is compatible with the models supported by [llama.cpp](https://github.com/gge
|
||||
Tested with:
|
||||
- Vicuna
|
||||
- Alpaca
|
||||
- [GPT4ALL](https://github.com/nomic-ai/gpt4all) (changes required, see below)
|
||||
- [GPT4ALL](https://gpt4all.io)
|
||||
- [GPT4ALL-J](https://gpt4all.io/models/ggml-gpt4all-j.bin) (no changes required)
|
||||
- Koala
|
||||
- [cerebras-GPT with ggml](https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP-ggml)
|
||||
- WizardLM
|
||||
- [RWKV](https://github.com/BlinkDL/RWKV-LM) models with [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp)
|
||||
|
||||
### GPT4ALL
|
||||
|
||||
Note: You might need to convert older models to the new format, see [here](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.
|
||||
Note: You might need to convert some models from older models to the new format, for indications, see [the README in llama.cpp](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.
|
||||
|
||||
### RWKV
|
||||
|
||||
@@ -92,11 +111,11 @@ It should also be compatible with StableLM and GPTNeoX ggml models (untested).
|
||||
Depending on the model you are attempting to run might need more RAM or CPU resources. Check out also [here](https://github.com/ggerganov/llama.cpp#memorydisk-requirements) for `ggml` based backends. `rwkv` is less expensive on resources.
|
||||
|
||||
|
||||
### Feature support matrix
|
||||
### Model compatibility table
|
||||
|
||||
<details>
|
||||
|
||||
| Backend | Compatible models | Completion/Chat endpoint | Audio transcription | Embeddings support | Token stream support | Github | Bindings |
|
||||
| Backend | Compatible models | Completion/Chat endpoint | Audio transcription/Image | Embeddings support | Token stream support | Github | Bindings |
|
||||
|-----------------|-----------------------|--------------------------|---------------------|-----------------------------------|----------------------|--------------------------------------------|-------------------------------------------|
|
||||
| llama | Vicuna, Alpaca, LLaMa | yes | no | yes (doesn't seem to be accurate) | yes | https://github.com/ggerganov/llama.cpp | https://github.com/go-skynet/go-llama.cpp |
|
||||
| gpt4all-llama | Vicuna, Alpaca, LLaMa | yes | no | no | yes | https://github.com/nomic-ai/gpt4all | https://github.com/go-skynet/gpt4all |
|
||||
@@ -106,12 +125,14 @@ Depending on the model you are attempting to run might need more RAM or CPU reso
|
||||
| dolly | Dolly | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| redpajama | RedPajama | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| stableLM | StableLM GPT/NeoX | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| replit | Replit | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| gptneox | GPT NeoX | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| starcoder | Starcoder | yes | no | no | no | https://github.com/ggerganov/ggml | https://github.com/go-skynet/go-gpt2.cpp |
|
||||
| bloomz | Bloom | yes | no | no | no | https://github.com/NouamaneTazi/bloomz.cpp | https://github.com/go-skynet/bloomz.cpp |
|
||||
| rwkv | RWKV | yes | no | no | yes | https://github.com/saharNooby/rwkv.cpp | https://github.com/donomii/go-rwkv.cpp |
|
||||
| bert-embeddings | bert | no | no | yes | no | https://github.com/skeskinen/bert.cpp | https://github.com/go-skynet/go-bert.cpp |
|
||||
| whisper | whisper | no | yes | no | no | https://github.com/ggerganov/whisper.cpp | https://github.com/ggerganov/whisper.cpp |
|
||||
|
||||
| whisper | whisper | no | Audio | no | no | https://github.com/ggerganov/whisper.cpp | https://github.com/ggerganov/whisper.cpp |
|
||||
| stablediffusion | stablediffusion | no | Image | no | no | https://github.com/EdVince/Stable-Diffusion-NCNN | https://github.com/mudler/go-stable-diffusion |
|
||||
</details>
|
||||
|
||||
## Usage
|
||||
@@ -136,7 +157,9 @@ cp your-model.bin models/
|
||||
# vim .env
|
||||
|
||||
# start with docker-compose
|
||||
docker-compose up -d --build
|
||||
docker-compose up -d --pull always
|
||||
# or you can build the images with:
|
||||
# docker-compose up -d --build
|
||||
|
||||
# Now API is accessible at localhost:8080
|
||||
curl http://localhost:8080/v1/models
|
||||
@@ -172,8 +195,9 @@ cp -rf prompt-templates/ggml-gpt4all-j.tmpl models/
|
||||
# vim .env
|
||||
|
||||
# start with docker-compose
|
||||
docker-compose up -d --build
|
||||
|
||||
docker-compose up -d --pull always
|
||||
# or you can build the images with:
|
||||
# docker-compose up -d --build
|
||||
# Now API is accessible at localhost:8080
|
||||
curl http://localhost:8080/v1/models
|
||||
# {"object":"list","data":[{"id":"ggml-gpt4all-j","object":"model"}]}
|
||||
@@ -192,6 +216,8 @@ To build locally, run `make build` (see below).
|
||||
|
||||
### Other examples
|
||||
|
||||

|
||||
|
||||
To see other examples on how to integrate with other projects for instance for question answering or for using it with chatbot-ui, see: [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/).
|
||||
|
||||
|
||||
@@ -282,6 +308,73 @@ Specifying a `config-file` via CLI allows to declare models in a single file as
|
||||
|
||||
See also [chatbot-ui](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui) as an example on how to use config files.
|
||||
|
||||
### Full config model file reference
|
||||
|
||||
```yaml
|
||||
name: gpt-3.5-turbo
|
||||
|
||||
# Default model parameters
|
||||
parameters:
|
||||
# Relative to the models path
|
||||
model: ggml-gpt4all-j
|
||||
# temperature
|
||||
temperature: 0.3
|
||||
# all the OpenAI request options here..
|
||||
top_k:
|
||||
top_p:
|
||||
max_tokens:
|
||||
batch:
|
||||
f16: true
|
||||
ignore_eos: true
|
||||
n_keep: 10
|
||||
seed:
|
||||
mode:
|
||||
step:
|
||||
|
||||
# Default context size
|
||||
context_size: 512
|
||||
# Default number of threads
|
||||
threads: 10
|
||||
# Define a backend (optional). By default it will try to guess the backend the first time the model is interacted with.
|
||||
backend: gptj # available: llama, stablelm, gpt2, gptj rwkv
|
||||
# stopwords (if supported by the backend)
|
||||
stopwords:
|
||||
- "HUMAN:"
|
||||
- "### Response:"
|
||||
# string to trim space to
|
||||
trimspace:
|
||||
- string
|
||||
# Strings to cut from the response
|
||||
cutstrings:
|
||||
- "string"
|
||||
# define chat roles
|
||||
roles:
|
||||
user: "HUMAN:"
|
||||
system: "GPT:"
|
||||
assistant: "ASSISTANT:"
|
||||
template:
|
||||
# template file ".tmpl" with the prompt template to use by default on the endpoint call. Note there is no extension in the files
|
||||
completion: completion
|
||||
chat: ggml-gpt4all-j
|
||||
edit: edit_template
|
||||
|
||||
# Enable F16 if backend supports it
|
||||
f16: true
|
||||
# Enable debugging
|
||||
debug: true
|
||||
# Enable embeddings
|
||||
embeddings: true
|
||||
# Mirostat configuration (llama.cpp only)
|
||||
mirostat_eta: 0.8
|
||||
mirostat_tau: 0.9
|
||||
mirostat: 1
|
||||
|
||||
# GPU Layers (only used when built with cublas)
|
||||
gpu_layers: 22
|
||||
|
||||
# Directory used to store additional assets (used for stablediffusion)
|
||||
asset_dir: ""
|
||||
```
|
||||
</details>
|
||||
|
||||
### Prompt templates
|
||||
@@ -339,6 +432,8 @@ local-ai --models-path <model_path> [--address <address>] [--threads <num_thread
|
||||
| context-size | CONTEXT_SIZE | 512 | Default token context size. |
|
||||
| debug | DEBUG | false | Enable debug mode. |
|
||||
| config-file | CONFIG_FILE | empty | Path to a LocalAI config file. |
|
||||
| upload_limit | UPLOAD_LIMIT | 5MB | Upload limit for whisper. |
|
||||
| image-dir | CONFIG_FILE | empty | Image directory to store and serve processed images. |
|
||||
|
||||
</details>
|
||||
|
||||
@@ -431,6 +526,48 @@ curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/jso
|
||||
|
||||
</details>
|
||||
|
||||
### Build with Image generation support
|
||||
|
||||
<details>
|
||||
|
||||
**Requirements**: OpenCV, Gomp
|
||||
|
||||
Image generation is experimental and requires `GO_TAGS=stablediffusion` to be set during build:
|
||||
|
||||
```
|
||||
make GO_TAGS=stablediffusion rebuild
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
### Accelleration
|
||||
|
||||
#### OpenBLAS
|
||||
|
||||
<details>
|
||||
|
||||
Requirements: OpenBLAS
|
||||
|
||||
```
|
||||
make BUILD_TYPE=openblas build
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
#### CuBLAS
|
||||
|
||||
<details>
|
||||
|
||||
Requirement: Nvidia CUDA toolkit
|
||||
|
||||
Note: CuBLAS support is experimental, and has not been tested on real HW. please report any issues you find!
|
||||
|
||||
```
|
||||
make BUILD_TYPE=cublas build
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
### Windows compatibility
|
||||
|
||||
It should work, however you need to make sure you give enough resources to the container. See https://github.com/go-skynet/LocalAI/issues/2
|
||||
@@ -559,6 +696,8 @@ curl http://localhost:8080/v1/models
|
||||
|
||||
### Embeddings
|
||||
|
||||
OpenAI docs: https://platform.openai.com/docs/api-reference/embeddings
|
||||
|
||||
<details>
|
||||
|
||||
The embedding endpoint is experimental and enabled only if the model is configured with `embeddings: true` in its `yaml` file, for example:
|
||||
@@ -601,6 +740,81 @@ curl http://localhost:8080/v1/audio/transcriptions -H "Content-Type: multipart/f
|
||||
{"text":"My fellow Americans, this day has brought terrible news and great sadness to our country.At nine o'clock this morning, Mission Control in Houston lost contact with our Space ShuttleColumbia.A short time later, debris was seen falling from the skies above Texas.The Columbia's lost.There are no survivors.One board was a crew of seven.Colonel Rick Husband, Lieutenant Colonel Michael Anderson, Commander Laurel Clark, Captain DavidBrown, Commander William McCool, Dr. Kultna Shavla, and Elon Ramon, a colonel in the IsraeliAir Force.These men and women assumed great risk in the service to all humanity.In an age when spaceflight has come to seem almost routine, it is easy to overlook thedangers of travel by rocket and the difficulties of navigating the fierce outer atmosphere ofthe Earth.These astronauts knew the dangers, and they faced them willingly, knowing they had a highand noble purpose in life.Because of their courage and daring and idealism, we will miss them all the more.All Americans today are thinking as well of the families of these men and women who havebeen given this sudden shock and grief.You're not alone.Our entire nation agrees with you, and those you loved will always have the respect andgratitude of this country.The cause in which they died will continue.Mankind has led into the darkness beyond our world by the inspiration of discovery andthe longing to understand.Our journey into space will go on.In the skies today, we saw destruction and tragedy.As farther than we can see, there is comfort and hope.In the words of the prophet Isaiah, \"Lift your eyes and look to the heavens who createdall these, he who brings out the starry hosts one by one and calls them each by name.\"Because of his great power and mighty strength, not one of them is missing.The same creator who names the stars also knows the names of the seven souls we mourntoday.The crew of the shuttle Columbia did not return safely to Earth yet we can pray that all aresafely home.May God bless the grieving families and may God continue to bless America.[BLANK_AUDIO]"}
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
### Image generation
|
||||
|
||||
OpenAI docs: https://platform.openai.com/docs/api-reference/images/create
|
||||
|
||||
LocalAI supports generating images with Stable diffusion, running on CPU.
|
||||
|
||||
| mode=0 | mode=1 (winograd/sgemm) |
|
||||
|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|
|
||||
|  |  |
|
||||
|  |  |
|
||||
|  |  |
|
||||
|
||||
<details>
|
||||
|
||||
To generate an image you can send a POST request to the `/v1/images/generations` endpoint with the instruction as the request body:
|
||||
|
||||
```bash
|
||||
# 512x512 is supported too
|
||||
curl http://localhost:8080/v1/images/generations -H "Content-Type: application/json" -d '{
|
||||
"prompt": "A cute baby sea otter",
|
||||
"size": "256x256"
|
||||
}'
|
||||
```
|
||||
|
||||
Available additional parameters: `mode`, `step`.
|
||||
|
||||
Note: To set a negative prompt, you can split the prompt with `|`, for instance: `a cute baby sea otter|malformed`.
|
||||
|
||||
```bash
|
||||
curl http://localhost:8080/v1/images/generations -H "Content-Type: application/json" -d '{
|
||||
"prompt": "floating hair, portrait, ((loli)), ((one girl)), cute face, hidden hands, asymmetrical bangs, beautiful detailed eyes, eye shadow, hair ornament, ribbons, bowties, buttons, pleated skirt, (((masterpiece))), ((best quality)), colorful|((part of the head)), ((((mutated hands and fingers)))), deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, Octane renderer, lowres, bad anatomy, bad hands, text",
|
||||
"size": "256x256"
|
||||
}'
|
||||
```
|
||||
|
||||
Note: image generator supports images up to 512x512. You can use other tools however to upscale the image, for instance: https://github.com/upscayl/upscayl.
|
||||
|
||||
#### Setup
|
||||
|
||||
Note: In order to use the `images/generation` endpoint, you need to build LocalAI with `GO_TAGS=stablediffusion`.
|
||||
|
||||
1. Create a model file `stablediffusion.yaml` in the models folder:
|
||||
|
||||
```yaml
|
||||
name: stablediffusion
|
||||
backend: stablediffusion
|
||||
asset_dir: stablediffusion_assets
|
||||
```
|
||||
2. Create a `stablediffusion_assets` directory inside your `models` directory
|
||||
3. Download the ncnn assets from https://github.com/EdVince/Stable-Diffusion-NCNN#out-of-box and place them in `stablediffusion_assets`.
|
||||
|
||||
The models directory should look like the following:
|
||||
|
||||
```
|
||||
models
|
||||
├── stablediffusion_assets
|
||||
│ ├── AutoencoderKL-256-256-fp16-opt.param
|
||||
│ ├── AutoencoderKL-512-512-fp16-opt.param
|
||||
│ ├── AutoencoderKL-base-fp16.param
|
||||
│ ├── AutoencoderKL-encoder-512-512-fp16.bin
|
||||
│ ├── AutoencoderKL-fp16.bin
|
||||
│ ├── FrozenCLIPEmbedder-fp16.bin
|
||||
│ ├── FrozenCLIPEmbedder-fp16.param
|
||||
│ ├── log_sigmas.bin
|
||||
│ ├── tmp-AutoencoderKL-encoder-256-256-fp16.param
|
||||
│ ├── UNetModel-256-256-MHA-fp16-opt.param
|
||||
│ ├── UNetModel-512-512-MHA-fp16-opt.param
|
||||
│ ├── UNetModel-base-MHA-fp16.param
|
||||
│ ├── UNetModel-MHA-fp16.bin
|
||||
│ └── vocab.txt
|
||||
└── stablediffusion.yaml
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
## Frequently asked questions
|
||||
@@ -639,7 +853,7 @@ Yes! If the client uses OpenAI and supports setting a different base URL to send
|
||||
|
||||
<details>
|
||||
|
||||
Not currently, as ggml doesn't support GPUs yet: https://github.com/ggerganov/llama.cpp/discussions/915.
|
||||
There is partial GPU support, see build instructions above.
|
||||
|
||||
</details>
|
||||
|
||||
@@ -679,6 +893,9 @@ Feel free to open up a PR to get your project listed!
|
||||
- [x] Multi-model support
|
||||
- [x] Have a webUI!
|
||||
- [x] Allow configuration of defaults for models.
|
||||
- [x] Support for embeddings
|
||||
- [x] Support for audio transcription with https://github.com/ggerganov/whisper.cpp
|
||||
- [ ] GPU/CUDA support ( https://github.com/go-skynet/LocalAI/issues/69 )
|
||||
- [ ] Enable automatic downloading of models from a curated gallery, with only free-licensed models, directly from the webui.
|
||||
|
||||
## Star history
|
||||
@@ -701,10 +918,15 @@ MIT
|
||||
|
||||
## Acknowledgements
|
||||
|
||||
LocalAI couldn't have been built without the help of great software already available from the community. Thank you!
|
||||
|
||||
- [llama.cpp](https://github.com/ggerganov/llama.cpp)
|
||||
- https://github.com/tatsu-lab/stanford_alpaca
|
||||
- https://github.com/cornelk/llama-go for the initial ideas
|
||||
- https://github.com/antimatter15/alpaca.cpp for the light model version (this is compatible and tested only with that checkpoint model!)
|
||||
- https://github.com/antimatter15/alpaca.cpp
|
||||
- https://github.com/EdVince/Stable-Diffusion-NCNN
|
||||
- https://github.com/ggerganov/whisper.cpp
|
||||
- https://github.com/saharNooby/rwkv.cpp
|
||||
|
||||
## Contributors
|
||||
|
||||
|
||||
@@ -12,7 +12,7 @@ import (
|
||||
"github.com/rs/zerolog/log"
|
||||
)
|
||||
|
||||
func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16 bool, debug, disableMessage bool) *fiber.App {
|
||||
func App(configFile string, loader *model.ModelLoader, uploadLimitMB, threads, ctxSize int, f16 bool, debug, disableMessage bool, imageDir string) *fiber.App {
|
||||
zerolog.SetGlobalLevel(zerolog.InfoLevel)
|
||||
if debug {
|
||||
zerolog.SetGlobalLevel(zerolog.DebugLevel)
|
||||
@@ -20,6 +20,7 @@ func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16
|
||||
|
||||
// Return errors as JSON responses
|
||||
app := fiber.New(fiber.Config{
|
||||
BodyLimit: uploadLimitMB * 1024 * 1024, // this is the default limit of 4MB
|
||||
DisableStartupMessage: disableMessage,
|
||||
// Override default error handler
|
||||
ErrorHandler: func(ctx *fiber.Ctx, err error) error {
|
||||
@@ -86,6 +87,12 @@ func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16
|
||||
|
||||
app.Post("/v1/audio/transcriptions", transcriptEndpoint(cm, debug, loader, threads, ctxSize, f16))
|
||||
|
||||
app.Post("/v1/images/generations", imageEndpoint(cm, debug, loader, imageDir))
|
||||
|
||||
if imageDir != "" {
|
||||
app.Static("/generated-images", imageDir)
|
||||
}
|
||||
|
||||
app.Get("/v1/models", listModels(loader, cm))
|
||||
app.Get("/models", listModels(loader, cm))
|
||||
|
||||
|
||||
@@ -3,6 +3,8 @@ package api_test
|
||||
import (
|
||||
"context"
|
||||
"os"
|
||||
"path/filepath"
|
||||
"runtime"
|
||||
|
||||
. "github.com/go-skynet/LocalAI/api"
|
||||
"github.com/go-skynet/LocalAI/pkg/model"
|
||||
@@ -23,7 +25,7 @@ var _ = Describe("API test", func() {
|
||||
Context("API query", func() {
|
||||
BeforeEach(func() {
|
||||
modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
|
||||
app = App("", modelLoader, 1, 512, false, true, true)
|
||||
app = App("", modelLoader, 15, 1, 512, false, true, true, "")
|
||||
go app.Listen("127.0.0.1:9090")
|
||||
|
||||
defaultConfig := openai.DefaultConfig("")
|
||||
@@ -45,8 +47,7 @@ var _ = Describe("API test", func() {
|
||||
It("returns the models list", func() {
|
||||
models, err := client.ListModels(context.TODO())
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
Expect(len(models.Models)).To(Equal(3))
|
||||
Expect(models.Models[0].ID).To(Equal("testmodel"))
|
||||
Expect(len(models.Models)).To(Equal(10))
|
||||
})
|
||||
It("can generate completions", func() {
|
||||
resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "testmodel", Prompt: "abcdedfghikl"})
|
||||
@@ -79,15 +80,67 @@ var _ = Describe("API test", func() {
|
||||
It("returns errors", func() {
|
||||
_, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "foomodel", Prompt: "abcdedfghikl"})
|
||||
Expect(err).To(HaveOccurred())
|
||||
Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 10 errors occurred:"))
|
||||
Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 12 errors occurred:"))
|
||||
})
|
||||
It("transcribes audio", func() {
|
||||
if runtime.GOOS != "linux" {
|
||||
Skip("test supported only on linux")
|
||||
}
|
||||
resp, err := client.CreateTranscription(
|
||||
context.Background(),
|
||||
openai.AudioRequest{
|
||||
Model: openai.Whisper1,
|
||||
FilePath: filepath.Join(os.Getenv("TEST_DIR"), "audio.wav"),
|
||||
},
|
||||
)
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
Expect(resp.Text).To(ContainSubstring("This is the Micro Machine Man presenting"))
|
||||
})
|
||||
|
||||
It("calculate embeddings", func() {
|
||||
if runtime.GOOS != "linux" {
|
||||
Skip("test supported only on linux")
|
||||
}
|
||||
resp, err := client.CreateEmbeddings(
|
||||
context.Background(),
|
||||
openai.EmbeddingRequest{
|
||||
Model: openai.AdaEmbeddingV2,
|
||||
Input: []string{"sun", "cat"},
|
||||
},
|
||||
)
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
Expect(len(resp.Data[0].Embedding)).To(BeNumerically("==", 384))
|
||||
Expect(len(resp.Data[1].Embedding)).To(BeNumerically("==", 384))
|
||||
|
||||
sunEmbedding := resp.Data[0].Embedding
|
||||
resp2, err := client.CreateEmbeddings(
|
||||
context.Background(),
|
||||
openai.EmbeddingRequest{
|
||||
Model: openai.AdaEmbeddingV2,
|
||||
Input: []string{"sun"},
|
||||
},
|
||||
)
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
Expect(resp2.Data[0].Embedding).To(Equal(sunEmbedding))
|
||||
})
|
||||
|
||||
Context("backends", func() {
|
||||
It("runs rwkv", func() {
|
||||
if runtime.GOOS != "linux" {
|
||||
Skip("test supported only on linux")
|
||||
}
|
||||
resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "rwkv_test", Prompt: "Count up to five: one, two, three, four,"})
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
Expect(len(resp.Choices) > 0).To(BeTrue())
|
||||
Expect(resp.Choices[0].Text).To(Equal(" five."))
|
||||
})
|
||||
})
|
||||
})
|
||||
|
||||
Context("Config file", func() {
|
||||
BeforeEach(func() {
|
||||
modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
|
||||
app = App(os.Getenv("CONFIG_FILE"), modelLoader, 1, 512, false, true, true)
|
||||
app = App(os.Getenv("CONFIG_FILE"), modelLoader, 5, 1, 512, false, true, true, "")
|
||||
go app.Listen("127.0.0.1:9090")
|
||||
|
||||
defaultConfig := openai.DefaultConfig("")
|
||||
@@ -108,8 +161,7 @@ var _ = Describe("API test", func() {
|
||||
|
||||
models, err := client.ListModels(context.TODO())
|
||||
Expect(err).ToNot(HaveOccurred())
|
||||
Expect(len(models.Models)).To(Equal(5))
|
||||
Expect(models.Models[0].ID).To(Equal("testmodel"))
|
||||
Expect(len(models.Models)).To(Equal(12))
|
||||
})
|
||||
It("can generate chat completions from config file", func() {
|
||||
resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list1", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
|
||||
@@ -134,5 +186,6 @@ var _ = Describe("API test", func() {
|
||||
Expect(len(resp.Choices)).To(Equal(1))
|
||||
Expect(resp.Choices[0].Text).ToNot(BeEmpty())
|
||||
})
|
||||
|
||||
})
|
||||
})
|
||||
|
||||
@@ -15,23 +15,24 @@ import (
|
||||
)
|
||||
|
||||
type Config struct {
|
||||
OpenAIRequest `yaml:"parameters"`
|
||||
Name string `yaml:"name"`
|
||||
StopWords []string `yaml:"stopwords"`
|
||||
Cutstrings []string `yaml:"cutstrings"`
|
||||
TrimSpace []string `yaml:"trimspace"`
|
||||
ContextSize int `yaml:"context_size"`
|
||||
F16 bool `yaml:"f16"`
|
||||
Threads int `yaml:"threads"`
|
||||
Debug bool `yaml:"debug"`
|
||||
Roles map[string]string `yaml:"roles"`
|
||||
Embeddings bool `yaml:"embeddings"`
|
||||
Backend string `yaml:"backend"`
|
||||
TemplateConfig TemplateConfig `yaml:"template"`
|
||||
MirostatETA float64 `yaml:"mirostat_eta"`
|
||||
MirostatTAU float64 `yaml:"mirostat_tau"`
|
||||
Mirostat int `yaml:"mirostat"`
|
||||
|
||||
OpenAIRequest `yaml:"parameters"`
|
||||
Name string `yaml:"name"`
|
||||
StopWords []string `yaml:"stopwords"`
|
||||
Cutstrings []string `yaml:"cutstrings"`
|
||||
TrimSpace []string `yaml:"trimspace"`
|
||||
ContextSize int `yaml:"context_size"`
|
||||
F16 bool `yaml:"f16"`
|
||||
Threads int `yaml:"threads"`
|
||||
Debug bool `yaml:"debug"`
|
||||
Roles map[string]string `yaml:"roles"`
|
||||
Embeddings bool `yaml:"embeddings"`
|
||||
Backend string `yaml:"backend"`
|
||||
TemplateConfig TemplateConfig `yaml:"template"`
|
||||
MirostatETA float64 `yaml:"mirostat_eta"`
|
||||
MirostatTAU float64 `yaml:"mirostat_tau"`
|
||||
Mirostat int `yaml:"mirostat"`
|
||||
NGPULayers int `yaml:"gpu_layers"`
|
||||
ImageGenerationAssets string `yaml:"asset_dir"`
|
||||
PromptStrings, InputStrings []string
|
||||
InputToken [][]int
|
||||
}
|
||||
@@ -211,12 +212,11 @@ func updateConfig(config *Config, input *OpenAIRequest) {
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
|
||||
func readInput(c *fiber.Ctx, loader *model.ModelLoader, randomModel bool) (string, *OpenAIRequest, error) {
|
||||
input := new(OpenAIRequest)
|
||||
// Get input data from the request body
|
||||
if err := c.BodyParser(input); err != nil {
|
||||
return nil, nil, err
|
||||
return "", nil, err
|
||||
}
|
||||
|
||||
modelFile := input.Model
|
||||
@@ -234,14 +234,14 @@ func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug
|
||||
bearerExists := bearer != "" && loader.ExistsInModelPath(bearer)
|
||||
|
||||
// If no model was specified, take the first available
|
||||
if modelFile == "" && !bearerExists {
|
||||
if modelFile == "" && !bearerExists && randomModel {
|
||||
models, _ := loader.ListModels()
|
||||
if len(models) > 0 {
|
||||
modelFile = models[0]
|
||||
log.Debug().Msgf("No model specified, using: %s", modelFile)
|
||||
} else {
|
||||
log.Debug().Msgf("No model specified, returning error")
|
||||
return nil, nil, fmt.Errorf("no model specified")
|
||||
return "", nil, fmt.Errorf("no model specified")
|
||||
}
|
||||
}
|
||||
|
||||
@@ -250,7 +250,10 @@ func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug
|
||||
log.Debug().Msgf("Using model from bearer token: %s", bearer)
|
||||
modelFile = bearer
|
||||
}
|
||||
return modelFile, input, nil
|
||||
}
|
||||
|
||||
func readConfig(modelFile string, input *OpenAIRequest, cm ConfigMerger, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
|
||||
// Load a config file if present after the model name
|
||||
modelConfig := filepath.Join(loader.ModelPath, modelFile+".yaml")
|
||||
if _, err := os.Stat(modelConfig); err == nil {
|
||||
|
||||
233
api/openai.go
233
api/openai.go
@@ -3,13 +3,16 @@ package api
|
||||
import (
|
||||
"bufio"
|
||||
"bytes"
|
||||
"encoding/base64"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"io"
|
||||
"io/ioutil"
|
||||
"net/http"
|
||||
"os"
|
||||
"path"
|
||||
"path/filepath"
|
||||
"strconv"
|
||||
"strings"
|
||||
|
||||
"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
|
||||
@@ -43,6 +46,10 @@ type Item struct {
|
||||
Embedding []float32 `json:"embedding"`
|
||||
Index int `json:"index"`
|
||||
Object string `json:"object,omitempty"`
|
||||
|
||||
// Images
|
||||
URL string `json:"url,omitempty"`
|
||||
B64JSON string `json:"b64_json,omitempty"`
|
||||
}
|
||||
|
||||
type OpenAIResponse struct {
|
||||
@@ -78,11 +85,13 @@ type OpenAIRequest struct {
|
||||
Model string `json:"model" yaml:"model"`
|
||||
|
||||
// whisper
|
||||
File string `json:"file" validate:"required"`
|
||||
File string `json:"file" validate:"required"`
|
||||
Language string `json:"language"`
|
||||
//whisper/image
|
||||
ResponseFormat string `json:"response_format"`
|
||||
Language string `json:"language"`
|
||||
|
||||
// Prompt is read only by completion API calls
|
||||
// image
|
||||
Size string `json:"size"`
|
||||
// Prompt is read only by completion/image API calls
|
||||
Prompt interface{} `json:"prompt" yaml:"prompt"`
|
||||
|
||||
// Edit endpoint
|
||||
@@ -116,6 +125,10 @@ type OpenAIRequest struct {
|
||||
Mirostat int `json:"mirostat" yaml:"mirostat"`
|
||||
|
||||
Seed int `json:"seed" yaml:"seed"`
|
||||
|
||||
// Image (not supported by OpenAI)
|
||||
Mode int `json:"mode"`
|
||||
Step int `json:"step"`
|
||||
}
|
||||
|
||||
func defaultRequest(modelFile string) OpenAIRequest {
|
||||
@@ -131,7 +144,13 @@ func defaultRequest(modelFile string) OpenAIRequest {
|
||||
// https://platform.openai.com/docs/api-reference/completions
|
||||
func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
return func(c *fiber.Ctx) error {
|
||||
config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
|
||||
|
||||
model, input, err := readInput(c, loader, true)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
|
||||
config, input, err := readConfig(model, input, cm, loader, debug, threads, ctx, f16)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
@@ -182,7 +201,12 @@ func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
|
||||
// https://platform.openai.com/docs/api-reference/embeddings
|
||||
func embeddingsEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
return func(c *fiber.Ctx) error {
|
||||
config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
|
||||
model, input, err := readInput(c, loader, true)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
|
||||
config, input, err := readConfig(model, input, cm, loader, debug, threads, ctx, f16)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
@@ -249,7 +273,12 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
|
||||
close(responses)
|
||||
}
|
||||
return func(c *fiber.Ctx) error {
|
||||
config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
|
||||
model, input, err := readInput(c, loader, true)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
|
||||
config, input, err := readConfig(model, input, cm, loader, debug, threads, ctx, f16)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
@@ -260,12 +289,14 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
|
||||
|
||||
mess := []string{}
|
||||
for _, i := range input.Messages {
|
||||
var content string
|
||||
r := config.Roles[i.Role]
|
||||
if r == "" {
|
||||
r = i.Role
|
||||
if r != "" {
|
||||
content = fmt.Sprint(r, " ", i.Content)
|
||||
} else {
|
||||
content = i.Content
|
||||
}
|
||||
|
||||
content := fmt.Sprint(r, " ", i.Content)
|
||||
mess = append(mess, content)
|
||||
}
|
||||
|
||||
@@ -349,7 +380,12 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
|
||||
|
||||
func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
return func(c *fiber.Ctx) error {
|
||||
config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
|
||||
model, input, err := readInput(c, loader, true)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
|
||||
config, input, err := readConfig(model, input, cm, loader, debug, threads, ctx, f16)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
@@ -398,25 +434,167 @@ func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
|
||||
}
|
||||
}
|
||||
|
||||
// https://platform.openai.com/docs/api-reference/audio/create
|
||||
func transcriptEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
// https://platform.openai.com/docs/api-reference/images/create
|
||||
|
||||
/*
|
||||
*
|
||||
|
||||
curl http://localhost:8080/v1/images/generations \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"prompt": "A cute baby sea otter",
|
||||
"n": 1,
|
||||
"size": "512x512"
|
||||
}'
|
||||
|
||||
*
|
||||
*/
|
||||
func imageEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, imageDir string) func(c *fiber.Ctx) error {
|
||||
return func(c *fiber.Ctx) error {
|
||||
config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
|
||||
m, input, err := readInput(c, loader, false)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
|
||||
if m == "" {
|
||||
m = model.StableDiffusionBackend
|
||||
}
|
||||
log.Debug().Msgf("Loading model: %+v", m)
|
||||
|
||||
config, input, err := readConfig(m, input, cm, loader, debug, 0, 0, false)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
|
||||
log.Debug().Msgf("Parameter Config: %+v", config)
|
||||
|
||||
// XXX: Only stablediffusion is supported for now
|
||||
if config.Backend == "" {
|
||||
config.Backend = model.StableDiffusionBackend
|
||||
}
|
||||
|
||||
sizeParts := strings.Split(input.Size, "x")
|
||||
if len(sizeParts) != 2 {
|
||||
return fmt.Errorf("Invalid value for 'size'")
|
||||
}
|
||||
width, err := strconv.Atoi(sizeParts[0])
|
||||
if err != nil {
|
||||
return fmt.Errorf("Invalid value for 'size'")
|
||||
}
|
||||
height, err := strconv.Atoi(sizeParts[1])
|
||||
if err != nil {
|
||||
return fmt.Errorf("Invalid value for 'size'")
|
||||
}
|
||||
|
||||
b64JSON := false
|
||||
if input.ResponseFormat == "b64_json" {
|
||||
b64JSON = true
|
||||
}
|
||||
|
||||
var result []Item
|
||||
for _, i := range config.PromptStrings {
|
||||
n := input.N
|
||||
if input.N == 0 {
|
||||
n = 1
|
||||
}
|
||||
for j := 0; j < n; j++ {
|
||||
prompts := strings.Split(i, "|")
|
||||
positive_prompt := prompts[0]
|
||||
negative_prompt := ""
|
||||
if len(prompts) > 1 {
|
||||
negative_prompt = prompts[1]
|
||||
}
|
||||
|
||||
mode := 0
|
||||
step := 15
|
||||
|
||||
if input.Mode != 0 {
|
||||
mode = input.Mode
|
||||
}
|
||||
|
||||
if input.Step != 0 {
|
||||
step = input.Step
|
||||
}
|
||||
|
||||
tempDir := ""
|
||||
if !b64JSON {
|
||||
tempDir = imageDir
|
||||
}
|
||||
// Create a temporary file
|
||||
outputFile, err := ioutil.TempFile(tempDir, "b64")
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
outputFile.Close()
|
||||
output := outputFile.Name() + ".png"
|
||||
// Rename the temporary file
|
||||
err = os.Rename(outputFile.Name(), output)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
baseURL := c.BaseURL()
|
||||
|
||||
fn, err := ImageGeneration(height, width, mode, step, input.Seed, positive_prompt, negative_prompt, output, loader, *config)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
if err := fn(); err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
item := &Item{}
|
||||
|
||||
if b64JSON {
|
||||
defer os.RemoveAll(output)
|
||||
data, err := os.ReadFile(output)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
item.B64JSON = base64.StdEncoding.EncodeToString(data)
|
||||
} else {
|
||||
base := filepath.Base(output)
|
||||
item.URL = baseURL + "/generated-images/" + base
|
||||
}
|
||||
|
||||
result = append(result, *item)
|
||||
}
|
||||
}
|
||||
|
||||
resp := &OpenAIResponse{
|
||||
Data: result,
|
||||
}
|
||||
|
||||
jsonResult, _ := json.Marshal(resp)
|
||||
log.Debug().Msgf("Response: %s", jsonResult)
|
||||
|
||||
// Return the prediction in the response body
|
||||
return c.JSON(resp)
|
||||
}
|
||||
}
|
||||
|
||||
// https://platform.openai.com/docs/api-reference/audio/create
|
||||
func transcriptEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
|
||||
return func(c *fiber.Ctx) error {
|
||||
m, input, err := readInput(c, loader, false)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
|
||||
config, input, err := readConfig(m, input, cm, loader, debug, threads, ctx, f16)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
// retrieve the file data from the request
|
||||
file, err := c.FormFile("file")
|
||||
if err != nil {
|
||||
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
|
||||
return err
|
||||
}
|
||||
f, err := file.Open()
|
||||
if err != nil {
|
||||
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
|
||||
return err
|
||||
}
|
||||
defer f.Close()
|
||||
log.Debug().Msgf("Audio file: %+v", file)
|
||||
|
||||
dir, err := os.MkdirTemp("", "whisper")
|
||||
|
||||
@@ -428,26 +606,33 @@ func transcriptEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
|
||||
dst := filepath.Join(dir, path.Base(file.Filename))
|
||||
dstFile, err := os.Create(dst)
|
||||
if err != nil {
|
||||
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
|
||||
return err
|
||||
}
|
||||
|
||||
if _, err := io.Copy(dstFile, f); err != nil {
|
||||
log.Debug().Msgf("Audio file %+v - %+v - err %+v", file.Filename, dst, err)
|
||||
log.Debug().Msgf("Audio file copying error %+v - %+v - err %+v", file.Filename, dst, err)
|
||||
return err
|
||||
}
|
||||
|
||||
log.Debug().Msgf("Audio file copied to: %+v", dst)
|
||||
|
||||
whisperModel, err := loader.BackendLoader("whisper", config.Model, []llama.ModelOption{}, uint32(config.Threads))
|
||||
whisperModel, err := loader.BackendLoader(model.WhisperBackend, config.Model, []llama.ModelOption{}, uint32(config.Threads))
|
||||
if err != nil {
|
||||
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
|
||||
return err
|
||||
}
|
||||
|
||||
w := whisperModel.(whisper.Model)
|
||||
if whisperModel == nil {
|
||||
return fmt.Errorf("could not load whisper model")
|
||||
}
|
||||
|
||||
tr, err := whisperutil.Transcript(w, dst, input.Language)
|
||||
w, ok := whisperModel.(whisper.Model)
|
||||
if !ok {
|
||||
return fmt.Errorf("loader returned non-whisper object")
|
||||
}
|
||||
|
||||
tr, err := whisperutil.Transcript(w, dst, input.Language, uint(config.Threads))
|
||||
if err != nil {
|
||||
return c.Status(http.StatusBadRequest).JSON(fiber.Map{"error": err.Error()})
|
||||
return err
|
||||
}
|
||||
|
||||
log.Debug().Msgf("Trascribed: %+v", tr)
|
||||
|
||||
@@ -8,11 +8,12 @@ import (
|
||||
|
||||
"github.com/donomii/go-rwkv.cpp"
|
||||
model "github.com/go-skynet/LocalAI/pkg/model"
|
||||
"github.com/go-skynet/LocalAI/pkg/stablediffusion"
|
||||
"github.com/go-skynet/bloomz.cpp"
|
||||
bert "github.com/go-skynet/go-bert.cpp"
|
||||
gpt2 "github.com/go-skynet/go-gpt2.cpp"
|
||||
llama "github.com/go-skynet/go-llama.cpp"
|
||||
gpt4all "github.com/nomic/gpt4all/gpt4all-bindings/golang"
|
||||
gpt4all "github.com/nomic-ai/gpt4all/gpt4all-bindings/golang"
|
||||
)
|
||||
|
||||
// mutex still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
|
||||
@@ -31,9 +32,52 @@ func defaultLLamaOpts(c Config) []llama.ModelOption {
|
||||
llamaOpts = append(llamaOpts, llama.EnableEmbeddings)
|
||||
}
|
||||
|
||||
if c.NGPULayers != 0 {
|
||||
llamaOpts = append(llamaOpts, llama.SetGPULayers(c.NGPULayers))
|
||||
}
|
||||
|
||||
return llamaOpts
|
||||
}
|
||||
|
||||
func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst string, loader *model.ModelLoader, c Config) (func() error, error) {
|
||||
if c.Backend != model.StableDiffusionBackend {
|
||||
return nil, fmt.Errorf("endpoint only working with stablediffusion models")
|
||||
}
|
||||
inferenceModel, err := loader.BackendLoader(c.Backend, c.ImageGenerationAssets, []llama.ModelOption{}, uint32(c.Threads))
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
var fn func() error
|
||||
switch model := inferenceModel.(type) {
|
||||
case *stablediffusion.StableDiffusion:
|
||||
fn = func() error {
|
||||
return model.GenerateImage(height, width, mode, step, seed, positive_prompt, negative_prompt, dst)
|
||||
}
|
||||
|
||||
default:
|
||||
fn = func() error {
|
||||
return fmt.Errorf("creation of images not supported by the backend")
|
||||
}
|
||||
}
|
||||
|
||||
return func() error {
|
||||
// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
|
||||
mutexMap.Lock()
|
||||
l, ok := mutexes[c.Backend]
|
||||
if !ok {
|
||||
m := &sync.Mutex{}
|
||||
mutexes[c.Backend] = m
|
||||
l = m
|
||||
}
|
||||
mutexMap.Unlock()
|
||||
l.Lock()
|
||||
defer l.Unlock()
|
||||
|
||||
return fn()
|
||||
}, nil
|
||||
}
|
||||
|
||||
func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config) (func() ([]float32, error), error) {
|
||||
if !c.Embeddings {
|
||||
return nil, fmt.Errorf("endpoint disabled for this model by API configuration")
|
||||
@@ -68,7 +112,7 @@ func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config)
|
||||
case *bert.Bert:
|
||||
fn = func() ([]float32, error) {
|
||||
if len(tokens) > 0 {
|
||||
return nil, fmt.Errorf("embeddings endpoint for this model supports only string")
|
||||
return model.TokenEmbeddings(tokens, bert.SetThreads(c.Threads))
|
||||
}
|
||||
return model.Embeddings(s, bert.SetThreads(c.Threads))
|
||||
}
|
||||
@@ -199,6 +243,54 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
|
||||
|
||||
return response, nil
|
||||
}
|
||||
case *gpt2.GPTNeoX:
|
||||
fn = func() (string, error) {
|
||||
// Generate the prediction using the language model
|
||||
predictOptions := []gpt2.PredictOption{
|
||||
gpt2.SetTemperature(c.Temperature),
|
||||
gpt2.SetTopP(c.TopP),
|
||||
gpt2.SetTopK(c.TopK),
|
||||
gpt2.SetTokens(c.Maxtokens),
|
||||
gpt2.SetThreads(c.Threads),
|
||||
}
|
||||
|
||||
if c.Batch != 0 {
|
||||
predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
|
||||
}
|
||||
|
||||
if c.Seed != 0 {
|
||||
predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
|
||||
}
|
||||
|
||||
return model.Predict(
|
||||
s,
|
||||
predictOptions...,
|
||||
)
|
||||
}
|
||||
case *gpt2.Replit:
|
||||
fn = func() (string, error) {
|
||||
// Generate the prediction using the language model
|
||||
predictOptions := []gpt2.PredictOption{
|
||||
gpt2.SetTemperature(c.Temperature),
|
||||
gpt2.SetTopP(c.TopP),
|
||||
gpt2.SetTopK(c.TopK),
|
||||
gpt2.SetTokens(c.Maxtokens),
|
||||
gpt2.SetThreads(c.Threads),
|
||||
}
|
||||
|
||||
if c.Batch != 0 {
|
||||
predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
|
||||
}
|
||||
|
||||
if c.Seed != 0 {
|
||||
predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
|
||||
}
|
||||
|
||||
return model.Predict(
|
||||
s,
|
||||
predictOptions...,
|
||||
)
|
||||
}
|
||||
case *gpt2.Starcoder:
|
||||
fn = func() (string, error) {
|
||||
// Generate the prediction using the language model
|
||||
|
||||
@@ -65,7 +65,7 @@ Run a slack bot which lets you talk directly with a model
|
||||
|
||||
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/slack-bot/)
|
||||
|
||||
### Question answering on documents
|
||||
### Question answering on documents with llama-index
|
||||
|
||||
_by [@mudler](https://github.com/mudler)_
|
||||
|
||||
@@ -73,6 +73,14 @@ Shows how to integrate with [Llama-Index](https://gpt-index.readthedocs.io/en/st
|
||||
|
||||
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/query_data/)
|
||||
|
||||
### Question answering on documents with langchain and chroma
|
||||
|
||||
_by [@mudler](https://github.com/mudler)_
|
||||
|
||||
Shows how to integrate with `Langchain` and `Chroma` to enable question answering on a set of documents.
|
||||
|
||||
[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-chroma/)
|
||||
|
||||
### Template for Runpod.io
|
||||
|
||||
_by [@fHachenberg](https://github.com/fHachenberg)_
|
||||
|
||||
@@ -19,7 +19,9 @@ cd LocalAI/examples/chatbot-ui
|
||||
wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
|
||||
|
||||
# start with docker-compose
|
||||
docker-compose up -d --build
|
||||
docker-compose up -d --pull always
|
||||
# or you can build the images with:
|
||||
# docker-compose up -d --build
|
||||
```
|
||||
|
||||
## Pointing chatbot-ui to a separately managed LocalAI service
|
||||
|
||||
54
examples/langchain-chroma/README.md
Normal file
54
examples/langchain-chroma/README.md
Normal file
@@ -0,0 +1,54 @@
|
||||
# Data query example
|
||||
|
||||
This example makes use of [langchain and chroma](https://blog.langchain.dev/langchain-chroma/) to enable question answering on a set of documents.
|
||||
|
||||
## Setup
|
||||
|
||||
Download the models and start the API:
|
||||
|
||||
```bash
|
||||
# Clone LocalAI
|
||||
git clone https://github.com/go-skynet/LocalAI
|
||||
|
||||
cd LocalAI/examples/query_data
|
||||
|
||||
wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O models/bert
|
||||
wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
|
||||
|
||||
# start with docker-compose
|
||||
docker-compose up -d --build
|
||||
```
|
||||
|
||||
### Python requirements
|
||||
|
||||
```
|
||||
pip install -r requirements.txt
|
||||
```
|
||||
|
||||
### Create a storage
|
||||
|
||||
In this step we will create a local vector database from our document set, so later we can ask questions on it with the LLM.
|
||||
|
||||
```bash
|
||||
export OPENAI_API_BASE=http://localhost:8080/v1
|
||||
export OPENAI_API_KEY=sk-
|
||||
|
||||
wget https://raw.githubusercontent.com/hwchase17/chat-your-data/master/state_of_the_union.txt
|
||||
python store.py
|
||||
```
|
||||
|
||||
After it finishes, a directory "storage" will be created with the vector index database.
|
||||
|
||||
## Query
|
||||
|
||||
We can now query the dataset.
|
||||
|
||||
```bash
|
||||
export OPENAI_API_BASE=http://localhost:8080/v1
|
||||
export OPENAI_API_KEY=sk-
|
||||
|
||||
python query.py
|
||||
# President Trump recently stated during a press conference regarding tax reform legislation that "we're getting rid of all these loopholes." He also mentioned that he wants to simplify the system further through changes such as increasing the standard deduction amount and making other adjustments aimed at reducing taxpayers' overall burden.
|
||||
```
|
||||
|
||||
Keep in mind now things are hit or miss!
|
||||
1
examples/langchain-chroma/models/completion.tmpl
Normal file
1
examples/langchain-chroma/models/completion.tmpl
Normal file
@@ -0,0 +1 @@
|
||||
{{.Input}}
|
||||
5
examples/langchain-chroma/models/embeddings.yaml
Normal file
5
examples/langchain-chroma/models/embeddings.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
name: text-embedding-ada-002
|
||||
parameters:
|
||||
model: bert
|
||||
backend: bert-embeddings
|
||||
embeddings: true
|
||||
16
examples/langchain-chroma/models/gpt-3.5-turbo.yaml
Normal file
16
examples/langchain-chroma/models/gpt-3.5-turbo.yaml
Normal file
@@ -0,0 +1,16 @@
|
||||
name: gpt-3.5-turbo
|
||||
parameters:
|
||||
model: ggml-gpt4all-j
|
||||
top_k: 80
|
||||
temperature: 0.2
|
||||
top_p: 0.7
|
||||
context_size: 1024
|
||||
stopwords:
|
||||
- "HUMAN:"
|
||||
- "GPT:"
|
||||
roles:
|
||||
user: " "
|
||||
system: " "
|
||||
template:
|
||||
completion: completion
|
||||
chat: gpt4all
|
||||
4
examples/langchain-chroma/models/gpt4all.tmpl
Normal file
4
examples/langchain-chroma/models/gpt4all.tmpl
Normal file
@@ -0,0 +1,4 @@
|
||||
The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
|
||||
### Prompt:
|
||||
{{.Input}}
|
||||
### Response:
|
||||
20
examples/langchain-chroma/query.py
Normal file
20
examples/langchain-chroma/query.py
Normal file
@@ -0,0 +1,20 @@
|
||||
|
||||
import os
|
||||
from langchain.vectorstores import Chroma
|
||||
from langchain.embeddings import OpenAIEmbeddings
|
||||
from langchain.llms import OpenAI
|
||||
from langchain.chains import VectorDBQA
|
||||
|
||||
base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
|
||||
|
||||
# Load and process the text
|
||||
embedding = OpenAIEmbeddings()
|
||||
persist_directory = 'db'
|
||||
|
||||
# Now we can load the persisted database from disk, and use it as normal.
|
||||
vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)
|
||||
qa = VectorDBQA.from_chain_type(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path), chain_type="stuff", vectorstore=vectordb)
|
||||
|
||||
query = "What the president said about taxes ?"
|
||||
print(qa.run(query))
|
||||
|
||||
4
examples/langchain-chroma/requirements.txt
Normal file
4
examples/langchain-chroma/requirements.txt
Normal file
@@ -0,0 +1,4 @@
|
||||
langchain==0.0.160
|
||||
openai==0.27.6
|
||||
chromadb==0.3.21
|
||||
llama-index==0.6.2
|
||||
28
examples/langchain-chroma/store.py
Executable file
28
examples/langchain-chroma/store.py
Executable file
@@ -0,0 +1,28 @@
|
||||
|
||||
import os
|
||||
from langchain.vectorstores import Chroma
|
||||
from langchain.embeddings import OpenAIEmbeddings
|
||||
from langchain.text_splitter import RecursiveCharacterTextSplitter,TokenTextSplitter,CharacterTextSplitter
|
||||
from langchain.llms import OpenAI
|
||||
from langchain.chains import VectorDBQA
|
||||
from langchain.document_loaders import TextLoader
|
||||
|
||||
base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
|
||||
|
||||
# Load and process the text
|
||||
loader = TextLoader('state_of_the_union.txt')
|
||||
documents = loader.load()
|
||||
|
||||
text_splitter = CharacterTextSplitter(chunk_size=300, chunk_overlap=70)
|
||||
#text_splitter = TokenTextSplitter()
|
||||
texts = text_splitter.split_documents(documents)
|
||||
|
||||
# Embed and store the texts
|
||||
# Supplying a persist_directory will store the embeddings on disk
|
||||
persist_directory = 'db'
|
||||
|
||||
embedding = OpenAIEmbeddings(model="text-embedding-ada-002")
|
||||
vectordb = Chroma.from_documents(documents=texts, embedding=embedding, persist_directory=persist_directory)
|
||||
|
||||
vectordb.persist()
|
||||
vectordb = None
|
||||
21
go.mod
21
go.mod
@@ -3,17 +3,19 @@ module github.com/go-skynet/LocalAI
|
||||
go 1.19
|
||||
|
||||
require (
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230510174014-07166da10cb2
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230509153812-1d17cd5bb37a
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230515123100-6fdd0c338e56
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230515153606-95b02d76b04d
|
||||
github.com/go-audio/wav v1.1.0
|
||||
github.com/go-skynet/bloomz.cpp v0.0.0-20230510195113-ad7e89a0885f
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230510124618-ec771ec71557
|
||||
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230509180201-d49823284cc6
|
||||
github.com/go-skynet/bloomz.cpp v0.0.0-20230510223001-e9366e82abdf
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230516063724-cea1ed76a7f4
|
||||
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230512145559-7bff56f02245
|
||||
github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c
|
||||
github.com/go-skynet/go-llama.cpp v0.0.0-20230510072905-70593fccbe4b
|
||||
github.com/go-skynet/go-llama.cpp v0.0.0-20230516230554-b7bbefbe0b84
|
||||
github.com/gofiber/fiber/v2 v2.45.0
|
||||
github.com/hashicorp/go-multierror v1.1.1
|
||||
github.com/onsi/ginkgo/v2 v2.9.4
|
||||
github.com/mudler/go-stable-diffusion v0.0.0-20230516152536-c0748eca3642
|
||||
github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230516143155-79d6243fe1bc
|
||||
github.com/onsi/ginkgo/v2 v2.9.5
|
||||
github.com/onsi/gomega v1.27.6
|
||||
github.com/otiai10/copy v1.11.0
|
||||
github.com/otiai10/openaigo v1.1.0
|
||||
@@ -49,7 +51,6 @@ require (
|
||||
github.com/mattn/go-colorable v0.1.13 // indirect
|
||||
github.com/mattn/go-isatty v0.0.18 // indirect
|
||||
github.com/mattn/go-runewidth v0.0.14 // indirect
|
||||
github.com/nomic/gpt4all/gpt4all-bindings/golang v0.0.0-00010101000000-000000000000 // indirect
|
||||
github.com/philhofer/fwd v1.1.2 // indirect
|
||||
github.com/rivo/uniseg v0.2.0 // indirect
|
||||
github.com/russross/blackfriday/v2 v2.1.0 // indirect
|
||||
@@ -59,9 +60,9 @@ require (
|
||||
github.com/valyala/bytebufferpool v1.0.0 // indirect
|
||||
github.com/valyala/tcplisten v1.0.0 // indirect
|
||||
github.com/xrash/smetrics v0.0.0-20201216005158-039620a65673 // indirect
|
||||
golang.org/x/net v0.9.0 // indirect
|
||||
golang.org/x/net v0.10.0 // indirect
|
||||
golang.org/x/sys v0.8.0 // indirect
|
||||
golang.org/x/text v0.9.0 // indirect
|
||||
golang.org/x/tools v0.8.0 // indirect
|
||||
golang.org/x/tools v0.9.1 // indirect
|
||||
gopkg.in/yaml.v2 v2.4.0 // indirect
|
||||
)
|
||||
|
||||
24
go.sum
24
go.sum
@@ -20,10 +20,14 @@ github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be h1:3Hic97PY6hc
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230510174014-07166da10cb2 h1:YNbUAyIRtaLODitigJU1EM5ubmMu5FmHtYAayJD6Vbg=
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230510174014-07166da10cb2/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230515123100-6fdd0c338e56 h1:s8/MZdicstKi5fn9D9mKGIQ/q6IWCYCk/BM68i8v51w=
|
||||
github.com/donomii/go-rwkv.cpp v0.0.0-20230515123100-6fdd0c338e56/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230508180809-bf2449dfae35 h1:sMg/SgnMPS/HNUO/2kGm72vl8R9TmNIwgLFr2TNwR3g=
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230508180809-bf2449dfae35/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230509153812-1d17cd5bb37a h1:MlyiDLNCM/wjbv8U5Elj18NvaAgl61SGiRUpqQz5dfs=
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230509153812-1d17cd5bb37a/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230515153606-95b02d76b04d h1:uxKTbiRnplE2SubchneSf4NChtxLJtOy9VdHnQMT0d0=
|
||||
github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230515153606-95b02d76b04d/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
|
||||
github.com/go-audio/audio v1.0.0 h1:zS9vebldgbQqktK4H0lUqWrG8P0NxCJVqcj7ZpNnwd4=
|
||||
github.com/go-audio/audio v1.0.0/go.mod h1:6uAu0+H2lHkwdGsAY+j2wHPNPpPoeg5AaEFh9FlA+Zs=
|
||||
github.com/go-audio/riff v1.0.0 h1:d8iCGbDvox9BfLagY94fBynxSPHO80LmZCaOsmKxokA=
|
||||
@@ -44,16 +48,24 @@ github.com/go-openapi/swag v0.19.15 h1:D2NRCBzS9/pEY3gP9Nl8aDqGUcPFrwG2p+CNFrLyr
|
||||
github.com/go-openapi/swag v0.19.15/go.mod h1:QYRuS/SOXUCsnplDa677K7+DxSOj6IPNl/eQntq43wQ=
|
||||
github.com/go-skynet/bloomz.cpp v0.0.0-20230510195113-ad7e89a0885f h1:GW8RQa1RVeDF1dOuAP/y6xWVC+BRtf9tJOuEza6Asbg=
|
||||
github.com/go-skynet/bloomz.cpp v0.0.0-20230510195113-ad7e89a0885f/go.mod h1:wc0fJ9V04yiYTfgKvE5RUUSRQ5Kzi0Bo4I+U3nNOUuA=
|
||||
github.com/go-skynet/bloomz.cpp v0.0.0-20230510223001-e9366e82abdf h1:VJfSn8hIDE+K5+h38M3iAyFXrxpRExMKRdTk33UDxsw=
|
||||
github.com/go-skynet/bloomz.cpp v0.0.0-20230510223001-e9366e82abdf/go.mod h1:wc0fJ9V04yiYTfgKvE5RUUSRQ5Kzi0Bo4I+U3nNOUuA=
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230510101404-7bb183b147ea h1:8Isk9D+Auth5OuXVAQPC3MO+5zF/2S7mvs2JZLw6a+8=
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230510101404-7bb183b147ea/go.mod h1:NHwIVvsg7Jh6p0M4uBLVmSMEaPUia6O6yjXUpLWVJmQ=
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230510124618-ec771ec71557 h1:LD66fKtvP2lmyuuKL8pBat/pVTKUbLs3L5fM/5lyi4w=
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230510124618-ec771ec71557/go.mod h1:NHwIVvsg7Jh6p0M4uBLVmSMEaPUia6O6yjXUpLWVJmQ=
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230516063724-cea1ed76a7f4 h1:+3KPDf4Wv1VHOkzAfZnlj9qakLSYggTpm80AswhD/FU=
|
||||
github.com/go-skynet/go-bert.cpp v0.0.0-20230516063724-cea1ed76a7f4/go.mod h1:VY0s5KoAI2jRCvQXKuDeEEe8KG7VaWifSNJSk+E1KtY=
|
||||
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230509180201-d49823284cc6 h1:XshpypO6ekU09CI19vuzke2a1Es1lV5ZaxA7CUehu0E=
|
||||
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230509180201-d49823284cc6/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
|
||||
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230512145559-7bff56f02245 h1:IcfYY5uH0DdDXEJKJ8bq0WZCd9guPPd3xllaWNy8LOk=
|
||||
github.com/go-skynet/go-gpt2.cpp v0.0.0-20230512145559-7bff56f02245/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
|
||||
github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c h1:48I7jpLNGiQeBmF0SFVVbREh8vlG0zN13v9LH5ctXis=
|
||||
github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c/go.mod h1:5VZ9XbcINI0XcHhkcX8GPK8TplFGAzu1Hrg4tNiMCtI=
|
||||
github.com/go-skynet/go-llama.cpp v0.0.0-20230510072905-70593fccbe4b h1:qqxrjY8fYDXQahmCMTCACahm1tbiqHLPUHALkFLyBfo=
|
||||
github.com/go-skynet/go-llama.cpp v0.0.0-20230510072905-70593fccbe4b/go.mod h1:DLfsPD7tYYnpksERH83HSf7qVNW3FIwmz7/zfYO0/6I=
|
||||
github.com/go-skynet/go-llama.cpp v0.0.0-20230516230554-b7bbefbe0b84 h1:f5iYF75bAr73Tl8AdtFD5Urs/2bsHKPh52K++jLbsfk=
|
||||
github.com/go-skynet/go-llama.cpp v0.0.0-20230516230554-b7bbefbe0b84/go.mod h1:jxyQ26t1aKC5Gn782w9WWh5n1133PxCOfkuc01xM4RQ=
|
||||
github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572 h1:tfuBGBXKqDEevZMzYi5KSi8KkcZtzBcTgAUUtapy0OI=
|
||||
github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572/go.mod h1:9Pwr4B2jHnOSGXyyzV8ROjYa2ojvAY6HCGYYfMoC3Ls=
|
||||
github.com/godbus/dbus/v5 v5.0.4/go.mod h1:xhWf0FNVPg57R7Z0UbKHbJfkEywrmjJnf7w5xrFpKfA=
|
||||
@@ -93,10 +105,18 @@ github.com/mattn/go-isatty v0.0.18 h1:DOKFKCQ7FNG2L1rbrmstDN4QVRdS89Nkh85u68Uwp9
|
||||
github.com/mattn/go-isatty v0.0.18/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
|
||||
github.com/mattn/go-runewidth v0.0.14 h1:+xnbZSEeDbOIg5/mE6JF0w6n9duR1l3/WmbinWVwUuU=
|
||||
github.com/mattn/go-runewidth v0.0.14/go.mod h1:Jdepj2loyihRzMpdS35Xk/zdY8IAYHsh153qUoGf23w=
|
||||
github.com/mudler/go-stable-diffusion v0.0.0-20230516104333-2f32a16b5b24 h1:XfRD/bZom6u4zji7aB0urIVOsPe43KlkzSRrVhlzaOM=
|
||||
github.com/mudler/go-stable-diffusion v0.0.0-20230516104333-2f32a16b5b24/go.mod h1:8ufRkpz/S/9ahkaxzZ5i4WMgO9w4InEhuRoT7vK5Rnw=
|
||||
github.com/mudler/go-stable-diffusion v0.0.0-20230516152536-c0748eca3642 h1:KTkh3lOUsGqQyP4v+oa38sPFdrZtNnM4HaxTb3epdYs=
|
||||
github.com/mudler/go-stable-diffusion v0.0.0-20230516152536-c0748eca3642/go.mod h1:8ufRkpz/S/9ahkaxzZ5i4WMgO9w4InEhuRoT7vK5Rnw=
|
||||
github.com/niemeyer/pretty v0.0.0-20200227124842-a10e7caefd8e h1:fD57ERR4JtEqsWbfPhv4DMiApHyliiK5xCTNVSPiaAs=
|
||||
github.com/niemeyer/pretty v0.0.0-20200227124842-a10e7caefd8e/go.mod h1:zD1mROLANZcx1PVRCS0qkT7pwLkGfwJo4zjcN/Tysno=
|
||||
github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230516143155-79d6243fe1bc h1:OPavP/SUsVWVYPhSUZKZeX8yDSQzf4G+BmUmwzrLTyI=
|
||||
github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230516143155-79d6243fe1bc/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
|
||||
github.com/onsi/ginkgo/v2 v2.9.4 h1:xR7vG4IXt5RWx6FfIjyAtsoMAtnc3C/rFXBBd2AjZwE=
|
||||
github.com/onsi/ginkgo/v2 v2.9.4/go.mod h1:gCQYp2Q+kSoIj7ykSVb9nskRSsR6PUj4AiLywzIhbKM=
|
||||
github.com/onsi/ginkgo/v2 v2.9.5 h1:+6Hr4uxzP4XIUyAkg61dWBw8lb/gc4/X5luuxN/EC+Q=
|
||||
github.com/onsi/ginkgo/v2 v2.9.5/go.mod h1:tvAoo1QUJwNEU2ITftXTpR7R1RbCzoZUOs3RonqW57k=
|
||||
github.com/onsi/gomega v1.27.6 h1:ENqfyGeS5AX/rlXDd/ETokDz93u0YufY1Pgxuy/PvWE=
|
||||
github.com/onsi/gomega v1.27.6/go.mod h1:PIQNjfQwkP3aQAH7lf7j87O/5FiNr+ZR8+ipb+qQlhg=
|
||||
github.com/otiai10/copy v1.11.0 h1:OKBD80J/mLBrwnzXqGtFCzprFSGioo30JcmR4APsNwc=
|
||||
@@ -164,6 +184,8 @@ golang.org/x/net v0.0.0-20220722155237-a158d28d115b/go.mod h1:XRhObCWvk6IyKnWLug
|
||||
golang.org/x/net v0.3.0/go.mod h1:MBQ8lrhLObU/6UmLb4fmbmk5OcyYmqtbGd/9yIeKjEE=
|
||||
golang.org/x/net v0.9.0 h1:aWJ/m6xSmxWBx+V0XRHTlrYrPG56jKsLdTFmsSsCzOM=
|
||||
golang.org/x/net v0.9.0/go.mod h1:d48xBJpPfHeWQsugry2m+kC02ZBRGRgulfHnEXEuWns=
|
||||
golang.org/x/net v0.10.0 h1:X2//UzNDwYmtCLn7To6G58Wr6f5ahEAQgKNzv9Y951M=
|
||||
golang.org/x/net v0.10.0/go.mod h1:0qNGK6F8kojg2nk9dLZ2mShWaEBan6FAoqfSigmmuDg=
|
||||
golang.org/x/sync v0.0.0-20190423024810-112230192c58/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
|
||||
golang.org/x/sync v0.0.0-20201020160332-67f06af15bc9/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
|
||||
golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
|
||||
@@ -201,6 +223,8 @@ golang.org/x/tools v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc
|
||||
golang.org/x/tools v0.4.0/go.mod h1:UE5sM2OK9E/d67R0ANs2xJizIymRP5gJU295PvKXxjQ=
|
||||
golang.org/x/tools v0.8.0 h1:vSDcovVPld282ceKgDimkRSC8kpaH1dgyc9UMzlt84Y=
|
||||
golang.org/x/tools v0.8.0/go.mod h1:JxBZ99ISMI5ViVkT1tr6tdNmXeTrcpVSD3vZ1RsRdN4=
|
||||
golang.org/x/tools v0.9.1 h1:8WMNJAz3zrtPmnYC7ISf5dEn3MT0gY7jBJfw27yrrLo=
|
||||
golang.org/x/tools v0.9.1/go.mod h1:owI94Op576fPu3cIGQeHs3joujW/2Oc6MtlxbF5dfNc=
|
||||
golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
|
||||
golang.org/x/xerrors v0.0.0-20191011141410-1b5146add898/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
|
||||
golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
|
||||
|
||||
14
main.go
14
main.go
@@ -56,12 +56,24 @@ func main() {
|
||||
EnvVars: []string{"ADDRESS"},
|
||||
Value: ":8080",
|
||||
},
|
||||
&cli.StringFlag{
|
||||
Name: "image-dir",
|
||||
DefaultText: "Image directory",
|
||||
EnvVars: []string{"IMAGE_DIR"},
|
||||
Value: "",
|
||||
},
|
||||
&cli.IntFlag{
|
||||
Name: "context-size",
|
||||
DefaultText: "Default context size of the model",
|
||||
EnvVars: []string{"CONTEXT_SIZE"},
|
||||
Value: 512,
|
||||
},
|
||||
&cli.IntFlag{
|
||||
Name: "upload-limit",
|
||||
DefaultText: "Default upload-limit. MB",
|
||||
EnvVars: []string{"UPLOAD_LIMIT"},
|
||||
Value: 15,
|
||||
},
|
||||
},
|
||||
Description: `
|
||||
LocalAI is a drop-in replacement OpenAI API which runs inference locally.
|
||||
@@ -81,7 +93,7 @@ It uses llama.cpp, ggml and gpt4all as backend with golang c bindings.
|
||||
Copyright: "go-skynet authors",
|
||||
Action: func(ctx *cli.Context) error {
|
||||
fmt.Printf("Starting LocalAI using %d threads, with models path: %s\n", ctx.Int("threads"), ctx.String("models-path"))
|
||||
return api.App(ctx.String("config-file"), model.NewModelLoader(ctx.String("models-path")), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false).Listen(ctx.String("address"))
|
||||
return api.App(ctx.String("config-file"), model.NewModelLoader(ctx.String("models-path")), ctx.Int("upload-limit"), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false, ctx.String("image-dir")).Listen(ctx.String("address"))
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@@ -2,35 +2,40 @@ package model
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"path/filepath"
|
||||
"strings"
|
||||
|
||||
rwkv "github.com/donomii/go-rwkv.cpp"
|
||||
whisper "github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
|
||||
"github.com/go-skynet/LocalAI/pkg/stablediffusion"
|
||||
bloomz "github.com/go-skynet/bloomz.cpp"
|
||||
bert "github.com/go-skynet/go-bert.cpp"
|
||||
gpt2 "github.com/go-skynet/go-gpt2.cpp"
|
||||
llama "github.com/go-skynet/go-llama.cpp"
|
||||
"github.com/hashicorp/go-multierror"
|
||||
gpt4all "github.com/nomic/gpt4all/gpt4all-bindings/golang"
|
||||
gpt4all "github.com/nomic-ai/gpt4all/gpt4all-bindings/golang"
|
||||
"github.com/rs/zerolog/log"
|
||||
)
|
||||
|
||||
const tokenizerSuffix = ".tokenizer.json"
|
||||
|
||||
const (
|
||||
LlamaBackend = "llama"
|
||||
BloomzBackend = "bloomz"
|
||||
StarcoderBackend = "starcoder"
|
||||
StableLMBackend = "stablelm"
|
||||
DollyBackend = "dolly"
|
||||
RedPajamaBackend = "redpajama"
|
||||
Gpt2Backend = "gpt2"
|
||||
Gpt4AllLlamaBackend = "gpt4all-llama"
|
||||
Gpt4AllMptBackend = "gpt4all-mpt"
|
||||
Gpt4AllJBackend = "gpt4all-j"
|
||||
BertEmbeddingsBackend = "bert-embeddings"
|
||||
RwkvBackend = "rwkv"
|
||||
WhisperBackend = "whisper"
|
||||
LlamaBackend = "llama"
|
||||
BloomzBackend = "bloomz"
|
||||
StarcoderBackend = "starcoder"
|
||||
StableLMBackend = "stablelm"
|
||||
DollyBackend = "dolly"
|
||||
RedPajamaBackend = "redpajama"
|
||||
GPTNeoXBackend = "gptneox"
|
||||
ReplitBackend = "replit"
|
||||
Gpt2Backend = "gpt2"
|
||||
Gpt4AllLlamaBackend = "gpt4all-llama"
|
||||
Gpt4AllMptBackend = "gpt4all-mpt"
|
||||
Gpt4AllJBackend = "gpt4all-j"
|
||||
BertEmbeddingsBackend = "bert-embeddings"
|
||||
RwkvBackend = "rwkv"
|
||||
WhisperBackend = "whisper"
|
||||
StableDiffusionBackend = "stablediffusion"
|
||||
)
|
||||
|
||||
var backends []string = []string{
|
||||
@@ -45,6 +50,8 @@ var backends []string = []string{
|
||||
StableLMBackend,
|
||||
DollyBackend,
|
||||
RedPajamaBackend,
|
||||
ReplitBackend,
|
||||
GPTNeoXBackend,
|
||||
BertEmbeddingsBackend,
|
||||
StarcoderBackend,
|
||||
}
|
||||
@@ -61,6 +68,14 @@ var dolly = func(modelFile string) (interface{}, error) {
|
||||
return gpt2.NewDolly(modelFile)
|
||||
}
|
||||
|
||||
var gptNeoX = func(modelFile string) (interface{}, error) {
|
||||
return gpt2.NewGPTNeoX(modelFile)
|
||||
}
|
||||
|
||||
var replit = func(modelFile string) (interface{}, error) {
|
||||
return gpt2.NewReplit(modelFile)
|
||||
}
|
||||
|
||||
var stableLM = func(modelFile string) (interface{}, error) {
|
||||
return gpt2.NewStableLM(modelFile)
|
||||
}
|
||||
@@ -76,6 +91,10 @@ var gpt2LM = func(modelFile string) (interface{}, error) {
|
||||
return gpt2.New(modelFile)
|
||||
}
|
||||
|
||||
var stableDiffusion = func(assetDir string) (interface{}, error) {
|
||||
return stablediffusion.New(assetDir)
|
||||
}
|
||||
|
||||
var whisperModel = func(modelFile string) (interface{}, error) {
|
||||
return whisper.New(modelFile)
|
||||
}
|
||||
@@ -94,6 +113,8 @@ func gpt4allLM(opts ...gpt4all.ModelOption) func(string) (interface{}, error) {
|
||||
|
||||
func rwkvLM(tokenFile string, threads uint32) func(string) (interface{}, error) {
|
||||
return func(s string) (interface{}, error) {
|
||||
log.Debug().Msgf("Loading RWKV", s, tokenFile)
|
||||
|
||||
model := rwkv.LoadFiles(s, tokenFile, threads)
|
||||
if model == nil {
|
||||
return nil, fmt.Errorf("could not load model")
|
||||
@@ -103,6 +124,7 @@ func rwkvLM(tokenFile string, threads uint32) func(string) (interface{}, error)
|
||||
}
|
||||
|
||||
func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
|
||||
log.Debug().Msgf("Loading model %s from %s", backendString, modelFile)
|
||||
switch strings.ToLower(backendString) {
|
||||
case LlamaBackend:
|
||||
return ml.LoadModel(modelFile, llamaLM(llamaOpts...))
|
||||
@@ -116,6 +138,12 @@ func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, lla
|
||||
return ml.LoadModel(modelFile, redPajama)
|
||||
case Gpt2Backend:
|
||||
return ml.LoadModel(modelFile, gpt2LM)
|
||||
case GPTNeoXBackend:
|
||||
return ml.LoadModel(modelFile, gptNeoX)
|
||||
case ReplitBackend:
|
||||
return ml.LoadModel(modelFile, replit)
|
||||
case StableDiffusionBackend:
|
||||
return ml.LoadModel(modelFile, stableDiffusion)
|
||||
case StarcoderBackend:
|
||||
return ml.LoadModel(modelFile, starCoder)
|
||||
case Gpt4AllLlamaBackend:
|
||||
@@ -127,7 +155,7 @@ func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, lla
|
||||
case BertEmbeddingsBackend:
|
||||
return ml.LoadModel(modelFile, bertEmbeddings)
|
||||
case RwkvBackend:
|
||||
return ml.LoadModel(modelFile, rwkvLM(modelFile+tokenizerSuffix, threads))
|
||||
return ml.LoadModel(modelFile, rwkvLM(filepath.Join(ml.ModelPath, modelFile+tokenizerSuffix), threads))
|
||||
case WhisperBackend:
|
||||
return ml.LoadModel(modelFile, whisperModel)
|
||||
default:
|
||||
|
||||
23
pkg/stablediffusion/generate.go
Normal file
23
pkg/stablediffusion/generate.go
Normal file
@@ -0,0 +1,23 @@
|
||||
//go:build stablediffusion
|
||||
// +build stablediffusion
|
||||
|
||||
package stablediffusion
|
||||
|
||||
import (
|
||||
stableDiffusion "github.com/mudler/go-stable-diffusion"
|
||||
)
|
||||
|
||||
func GenerateImage(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst, asset_dir string) error {
|
||||
return stableDiffusion.GenerateImage(
|
||||
height,
|
||||
width,
|
||||
mode,
|
||||
step,
|
||||
seed,
|
||||
positive_prompt,
|
||||
negative_prompt,
|
||||
dst,
|
||||
"",
|
||||
asset_dir,
|
||||
)
|
||||
}
|
||||
10
pkg/stablediffusion/generate_unsupported.go
Normal file
10
pkg/stablediffusion/generate_unsupported.go
Normal file
@@ -0,0 +1,10 @@
|
||||
//go:build !stablediffusion
|
||||
// +build !stablediffusion
|
||||
|
||||
package stablediffusion
|
||||
|
||||
import "fmt"
|
||||
|
||||
func GenerateImage(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst, asset_dir string) error {
|
||||
return fmt.Errorf("This version of LocalAI was built without the stablediffusion tag")
|
||||
}
|
||||
20
pkg/stablediffusion/stablediffusion.go
Normal file
20
pkg/stablediffusion/stablediffusion.go
Normal file
@@ -0,0 +1,20 @@
|
||||
package stablediffusion
|
||||
|
||||
import "os"
|
||||
|
||||
type StableDiffusion struct {
|
||||
assetDir string
|
||||
}
|
||||
|
||||
func New(assetDir string) (*StableDiffusion, error) {
|
||||
if _, err := os.Stat(assetDir); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
return &StableDiffusion{
|
||||
assetDir: assetDir,
|
||||
}, nil
|
||||
}
|
||||
|
||||
func (s *StableDiffusion) GenerateImage(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst string) error {
|
||||
return GenerateImage(height, width, mode, step, seed, positive_prompt, negative_prompt, dst, s.assetDir)
|
||||
}
|
||||
@@ -28,7 +28,7 @@ func audioToWav(src, dst string) error {
|
||||
return nil
|
||||
}
|
||||
|
||||
func Transcript(model whisper.Model, audiopath, language string) (string, error) {
|
||||
func Transcript(model whisper.Model, audiopath, language string, threads uint) (string, error) {
|
||||
|
||||
dir, err := os.MkdirTemp("", "whisper")
|
||||
if err != nil {
|
||||
@@ -65,8 +65,12 @@ func Transcript(model whisper.Model, audiopath, language string) (string, error)
|
||||
|
||||
}
|
||||
|
||||
context.SetThreads(threads)
|
||||
|
||||
if language != "" {
|
||||
context.SetLanguage(language)
|
||||
} else {
|
||||
context.SetLanguage("auto")
|
||||
}
|
||||
|
||||
if err := context.Process(data, nil); err != nil {
|
||||
|
||||
6
tests/fixtures/embeddings.yaml
vendored
Normal file
6
tests/fixtures/embeddings.yaml
vendored
Normal file
@@ -0,0 +1,6 @@
|
||||
name: text-embedding-ada-002
|
||||
parameters:
|
||||
model: bert
|
||||
threads: 14
|
||||
backend: bert-embeddings
|
||||
embeddings: true
|
||||
19
tests/fixtures/rwkv.yaml
vendored
Normal file
19
tests/fixtures/rwkv.yaml
vendored
Normal file
@@ -0,0 +1,19 @@
|
||||
name: rwkv_test
|
||||
parameters:
|
||||
model: rwkv
|
||||
top_k: 80
|
||||
temperature: 0.9
|
||||
max_tokens: 100
|
||||
top_p: 0.8
|
||||
context_size: 1024
|
||||
threads: 14
|
||||
backend: "rwkv"
|
||||
cutwords:
|
||||
- "Bob:.*"
|
||||
roles:
|
||||
user: "Bob:"
|
||||
system: "Alice:"
|
||||
assistant: "Alice:"
|
||||
template:
|
||||
completion: rwkv_completion
|
||||
chat: rwkv_chat
|
||||
13
tests/fixtures/rwkv_chat.tmpl
vendored
Normal file
13
tests/fixtures/rwkv_chat.tmpl
vendored
Normal file
@@ -0,0 +1,13 @@
|
||||
The following is a verbose detailed conversation between Bob and a woman, Alice. Alice is intelligent, friendly and likeable. Alice is likely to agree with Bob.
|
||||
|
||||
Bob: Hello Alice, how are you doing?
|
||||
|
||||
Alice: Hi Bob! Thanks, I'm fine. What about you?
|
||||
|
||||
Bob: I am very good! It's nice to see you. Would you mind me chatting with you for a while?
|
||||
|
||||
Alice: Not at all! I'm listening.
|
||||
|
||||
{{.Input}}
|
||||
|
||||
Alice:
|
||||
1
tests/fixtures/rwkv_completion.tmpl
vendored
Normal file
1
tests/fixtures/rwkv_completion.tmpl
vendored
Normal file
@@ -0,0 +1 @@
|
||||
Complete the following sentence: {{.Input}}
|
||||
4
tests/fixtures/whisper.yaml
vendored
Normal file
4
tests/fixtures/whisper.yaml
vendored
Normal file
@@ -0,0 +1,4 @@
|
||||
name: whisper-1
|
||||
backend: whisper
|
||||
parameters:
|
||||
model: whisper-en
|
||||
Reference in New Issue
Block a user