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:robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.

v2.10.0

2 months ago

LocalAI v2.10.0 Release Notes

Excited to announce the release of LocalAI v2.10.0! This version introduces significant changes, including breaking changes, numerous bug fixes, exciting new features, dependency updates, and more. Here's a summary of what's new:

Breaking Changes 🛠

  • The trust_remote_code setting in the YAML config file of the model are now consumed for enhanced security measures also for the AutoGPTQ and transformers backend, thanks to @dave-gray101's contribution (#1799). If your model relied on the old behavior and you are sure of what you are doing, set trust_remote_code: true in the YAML config file.

Bug Fixes :bug:

  • Various fixes have been implemented to enhance the stability and performance of LocalAI:
    • SSE no longer omits empty finish_reason fields for better compatibility with the OpenAI API, fixed by @mudler (#1745).
    • Functions now correctly handle scenarios with no results, also addressed by @mudler (#1758).
    • A Command Injection Vulnerability has been fixed by @ouxs-19 (#1778).
    • OpenCL-based builds for llama.cpp have been restored, thanks to @cryptk's efforts (#1828, #1830).
    • An issue with OSX build default.metallib has been resolved, which should now allow running the llama-cpp backend on Apple arm64, fixed by @dave-gray101 (#1837).

Exciting New Features 🎉

  • LocalAI continues to evolve with several new features:
    • Ongoing implementation of the assistants API, making great progress thanks to community contributions, including an initial implementation by @christ66 (#1761).
    • Addition of diffusers/transformers support for Intel GPU - now you can generate images and use the transformer backend also on Intel GPUs, implemented by @mudler (#1746).
    • Introduction of Bitsandbytes quantization for transformer backend enhancement and a fix for transformer backend error on CUDA by @fakezeta (#1823).
    • Compatibility layers for Elevenlabs and OpenAI TTS, enhancing text-to-speech capabilities: Now LocalAI is compatible with Elevenlabs and OpenAI TTS, thanks to @mudler (#1834).
    • vLLM now supports stream: true! This feature was introduced by @golgeek (#1749).

Dependency Updates 👒

  • Our continuous effort to keep dependencies up-to-date includes multiple updates to ggerganov/llama.cpp, donomii/go-rwkv.cpp, mudler/go-stable-diffusion, and others, ensuring that LocalAI is built on the latest and most secure libraries.

Other Changes

  • Several internal changes have been made to improve the development process and documentation, including updates to integration guides, stress reduction on self-hosted runners, and more.

Details of What's Changed

Breaking Changes 🛠

Bug fixes :bug:

Exciting New Features 🎉

👒 Dependencies

Other Changes

New Contributors

Thank you to all contributors and users for your continued support and feedback, making LocalAI better with each release!

Full Changelog: https://github.com/mudler/LocalAI/compare/v2.9.0...v2.10.0

v2.9.0

3 months ago

This release brings many enhancements, fixes, and a special thanks to the community for the amazing work and contributions!

We now have sycl images for Intel GPUs, ROCm images for AMD GPUs,and much more:

  • You can find the AMD GPU images tags between the container images available - look for hipblas. For example, master-hipblas-ffmpeg-core. Thanks to @fenfir for this nice contribution!
  • Intel GPU images are tagged with sycl. You can find images with two flavors, sycl-f16 and sycl-f32 respectively. For example, master-sycl-f16. Work is in progress to support also diffusers and transformers on Intel GPUs.
  • Thanks to @christ66 first efforts in supporting the Assistant API were made, and we are planning to support the Assistant API! Stay tuned for more!
  • Now LocalAI supports the Tools API endpoint - it also supports the (now deprecated) functions API call as usual. We now also have support for SSE with function calling. See https://github.com/mudler/LocalAI/pull/1726 for more
  • Support for Gemma models - did you hear? Google released OSS models and LocalAI supports it already!
  • Thanks to @dave-gray101 in https://github.com/mudler/LocalAI/pull/1728 to put efforts in refactoring parts of the code - we are going to support soon more ways to interface with LocalAI, and not only restful api!

Support the project

First off, a massive thank you to each and every one of you who've chipped in to squash bugs and suggest cool new features for LocalAI. Your help, kind words, and brilliant ideas are truly appreciated - more than words can say!

And to those of you who've been heros, giving up your own time to help out fellow users on Discord and in our repo, you're absolutely amazing. We couldn't have asked for a better community.

Just so you know, LocalAI doesn't have the luxury of big corporate sponsors behind it. It's all us, folks. So, if you've found value in what we're building together and want to keep the momentum going, consider showing your support. A little shoutout on your favorite social platforms using @LocalAI_OSS and @mudler_it or joining our sponsorship program can make a big difference.

Also, if you haven't yet joined our Discord, come on over! Here's the link: https://discord.gg/uJAeKSAGDy

Every bit of support, every mention, and every star adds up and helps us keep this ship sailing. Let's keep making LocalAI awesome together!

Thanks a ton, and here's to more exciting times ahead with LocalAI! 🚀

What's Changed

Bug fixes :bug:

Exciting New Features 🎉

👒 Dependencies

Other Changes

New Contributors

Full Changelog: https://github.com/mudler/LocalAI/compare/v2.8.2...v2.9.0

v2.8.2

3 months ago

What's Changed

Bug fixes :bug:

Full Changelog: https://github.com/mudler/LocalAI/compare/v2.8.1...v2.8.2

v2.8.1

3 months ago

This is a patch release, mostly containing minor patches and bugfixes from 2.8.0.

Most importantly it contains a bugfix for https://github.com/mudler/LocalAI/issues/1333 which made the llama.cpp backend to get stuck in some cases where the model starts to hallucinate and fixes to the python-based backends.

Spread the word!

First off, a massive thank you to each and every one of you who've chipped in to squash bugs and suggest cool new features for LocalAI. Your help, kind words, and brilliant ideas are truly appreciated - more than words can say!

And to those of you who've been heros, giving up your own time to help out fellow users on Discord and in our repo, you're absolutely amazing. We couldn't have asked for a better community.

Just so you know, LocalAI doesn't have the luxury of big corporate sponsors behind it. It's all us, folks. So, if you've found value in what we're building together and want to keep the momentum going, consider showing your support. A little shoutout on your favorite social platforms using @LocalAI_OSS and @mudler_it or joining our sponsorship program can make a big difference.

Also, if you haven't yet joined our Discord, come on over! Here's the link: https://discord.gg/uJAeKSAGDy

Every bit of support, every mention, and every star adds up and helps us keep this ship sailing. Let's keep making LocalAI awesome together!

Thanks a ton, and here's to more exciting times ahead with LocalAI! 🚀

What's Changed

Bug fixes :bug:

Exciting New Features 🎉

Other Changes

Full Changelog: https://github.com/mudler/LocalAI/compare/v2.8.0...v2.8.1

v2.8.0

3 months ago

This release adds support for Intel GPUs, and it deprecates old ggml-based backends which are by now superseded by llama.cpp (that now supports more architectures out-of-the-box). See also https://github.com/mudler/LocalAI/issues/1651.

Images are now based on Ubuntu 22.04 LTS instead of Debian bullseye.

Intel GPUs

There are now images tagged with "sycl". There are sycl-f16 and sycl-f32 images indicating f16 or f32 support.

For example, to start phi-2 with an Intel GPU it is enough to use the container image like this:

docker run -e DEBUG=true -ti -v $PWD/models:/build/models -p 8080:8080  -v /dev/dri:/dev/dri --rm quay.io/go-skynet/local-ai:master-sycl-f32-ffmpeg-core phi-2

Note

First off, a massive thank you to each and every one of you who've chipped in to squash bugs and suggest cool new features for LocalAI. Your help, kind words, and brilliant ideas are truly appreciated - more than words can say!

And to those of you who've been heros, giving up your own time to help out fellow users on Discord and in our repo, you're absolutely amazing. We couldn't have asked for a better community.

Just so you know, LocalAI doesn't have the luxury of big corporate sponsors behind it. It's all us, folks. So, if you've found value in what we're building together and want to keep the momentum going, consider showing your support. A little shoutout on your favorite social platforms using @LocalAI_OSS and @mudler_it or joining our sponsorship program can make a big difference.

Also, if you haven't yet joined our Discord, come on over! Here's the link: https://discord.gg/uJAeKSAGDy

Every bit of support, every mention, and every star adds up and helps us keep this ship sailing. Let's keep making LocalAI awesome, together.

Thanks a ton, and here's to more exciting times ahead with LocalAI! 🚀

What's Changed

Exciting New Features 🎉

👒 Dependencies

Other Changes

New Contributors

Full Changelog: https://github.com/mudler/LocalAI/compare/v2.7.0...v2.8.0

v2.7.0

4 months ago

This release adds support to the transformer backend for LLM as well!

For now instance you can run codellama-7b with transformers with:

docker run -ti -p 8080:8080 --gpus all localai/localai:v2.7.0-cublas-cuda12 codellama-7b

In the quickstart there are more examples available https://localai.io/basics/getting_started/#running-models.

Note: As llama.cpp is ongoing with changes that could possible cause breakage, this release does not includes changes from https://github.com/ggerganov/llama.cpp/discussions/5138 (the future versions will).

What's Changed

Bug fixes :bug:

Exciting New Features 🎉

👒 Dependencies

Other Changes

Full Changelog: https://github.com/mudler/LocalAI/compare/v2.6.1...v2.6.2

v2.6.1

4 months ago

This is a patch release containing bug-fixes around parallel request support with llama.cpp models.

What's Changed

Bug fixes :bug:

Exciting New Features 🎉

👒 Dependencies

Other Changes

New Contributors

Full Changelog: https://github.com/mudler/LocalAI/compare/v2.6.0...v2.6.1

v2.6.0

4 months ago

What's Changed

Bug fixes :bug:

Exciting New Features 🎉

👒 Dependencies

Other Changes

New Contributors

Full Changelog: https://github.com/mudler/LocalAI/compare/v2.5.1...v2.6.0

v2.5.1

4 months ago

Patch release to create /build/models in the container images.

What's Changed

Other Changes

Full Changelog: https://github.com/mudler/LocalAI/compare/v2.5.0...v2.5.1

v2.5.0

5 months ago

What's Changed

This release adds more embedded models, and shrink image sizes.

You can run now phi-2 ( see here for the full list ) locally by starting localai with:

docker run -ti -p 8080:8080 localai/localai:v2.5.0-ffmpeg-core phi-2

LocalAI accepts now as argument a list of short-hands models and/or URLs pointing to valid yaml file. A popular way to host those files are Github gists.

For instance, you can run llava, by starting local-ai with:

docker run -ti -p 8080:8080 localai/localai:v2.5.0-ffmpeg-core https://raw.githubusercontent.com/mudler/LocalAI/master/embedded/models/llava.yaml

Exciting New Features 🎉

👒 Dependencies

Other Changes

Full Changelog: https://github.com/mudler/LocalAI/compare/v2.4.1...v2.5.0