0135e1e3b9
* fix: use vllm AsyncLLMEngine to bring true stream Current vLLM implementation uses the LLMEngine, which was designed for offline batch inference, which results in the streaming mode outputing all blobs at once at the end of the inference. This PR reworks the gRPC server to use asyncio and gRPC.aio, in combination with vLLM's AsyncLLMEngine to bring true stream mode. This PR also passes more parameters to vLLM during inference (presence_penalty, frequency_penalty, stop, ignore_eos, seed, ...). * Remove unused import
LocalAI
💡 Get help - ❓FAQ 💭Discussions 💬 Discord 📖 Documentation website
LocalAI is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that’s compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families. Does not require GPU.
🔥🔥 Hot topics / Roadmap
- Parallel function calling: https://github.com/mudler/LocalAI/pull/1726
- Upload file API: https://github.com/mudler/LocalAI/pull/1703
- Tools API support: https://github.com/mudler/LocalAI/pull/1715
- LLaVa 1.6: https://github.com/mudler/LocalAI/pull/1714
- ROCm container images: https://github.com/mudler/LocalAI/pull/1595
- Intel GPU support (sycl): https://github.com/mudler/LocalAI/issues/1653
- Deprecation of old backends: https://github.com/mudler/LocalAI/issues/1651
- Mamba support: https://github.com/mudler/LocalAI/pull/1589
- Start and share models with config file: https://github.com/mudler/LocalAI/pull/1522
- 🐸 Coqui: https://github.com/mudler/LocalAI/pull/1489
- Img2vid https://github.com/mudler/LocalAI/pull/1442
Hot topics (looking for contributors):
- Backends v2: https://github.com/mudler/LocalAI/issues/1126
- Improving UX v2: https://github.com/mudler/LocalAI/issues/1373
- Assistant API: https://github.com/mudler/LocalAI/issues/1273
If you want to help and contribute, issues up for grabs: https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22up+for+grabs%22
💻 Getting started
For a detailed step-by-step introduction, refer to the Getting Started guide. For those in a hurry, here's a straightforward one-liner to launch a LocalAI instance with phi-2 using docker:
docker run -ti -p 8080:8080 localai/localai:v2.7.0-ffmpeg-core phi-2
🚀 Features
- 📖 Text generation with GPTs (
llama.cpp,gpt4all.cpp, ... 📖 and more) - 🗣 Text to Audio
- 🔈 Audio to Text (Audio transcription with
whisper.cpp) - 🎨 Image generation with stable diffusion
- 🔥 OpenAI functions 🆕
- 🧠 Embeddings generation for vector databases
- ✍️ Constrained grammars
- 🖼️ Download Models directly from Huggingface
- 🆕 Vision API
💻 Usage
Check out the Getting started section in our documentation.
🔗 Community and integrations
Build and deploy custom containers:
WebUIs:
Model galleries
UI / Management Programs
Other:
- Helm chart https://github.com/go-skynet/helm-charts
- VSCode extension https://github.com/badgooooor/localai-vscode-plugin
- Local Smart assistant https://github.com/mudler/LocalAGI
- Home Assistant https://github.com/sammcj/homeassistant-localai / https://github.com/drndos/hass-openai-custom-conversation
- Discord bot https://github.com/mudler/LocalAGI/tree/main/examples/discord
- Slack bot https://github.com/mudler/LocalAGI/tree/main/examples/slack
- Telegram bot https://github.com/mudler/LocalAI/tree/master/examples/telegram-bot
- Examples: https://github.com/mudler/LocalAI/tree/master/examples/
🔗 Resources
- 🆕 New! LLM finetuning guide
- How to build locally
- How to install in Kubernetes
- Projects integrating LocalAI
- How tos section (curated by our community)
📖 🎥 Media, Blogs, Social
- Create a slackbot for teams and OSS projects that answer to documentation
- LocalAI meets k8sgpt
- Question Answering on Documents locally with LangChain, LocalAI, Chroma, and GPT4All
- Tutorial to use k8sgpt with LocalAI
Citation
If you utilize this repository, data in a downstream project, please consider citing it with:
@misc{localai,
author = {Ettore Di Giacinto},
title = {LocalAI: The free, Open source OpenAI alternative},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/go-skynet/LocalAI}},
❤️ Sponsors
Do you find LocalAI useful?
Support the project by becoming a backer or sponsor. Your logo will show up here with a link to your website.
A huge thank you to our generous sponsors who support this project:
| Spectro Cloud |
| Spectro Cloud kindly supports LocalAI by providing GPU and computing resources to run tests on lamdalabs! |
And a huge shout-out to individuals sponsoring the project by donating hardware or backing the project.
- Sponsor list
- JDAM00 (donating HW for the CI)
🌟 Star history
📖 License
LocalAI is a community-driven project created by Ettore Di Giacinto.
MIT - Author Ettore Di Giacinto
🙇 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/tatsu-lab/stanford_alpaca
- https://github.com/cornelk/llama-go for the initial ideas
- 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
- https://github.com/rhasspy/piper
🤗 Contributors
This is a community project, a special thanks to our contributors! 🤗