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@irenedea irenedea released this 27 Mar 05:12
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🚀 LLM Foundry v0.7.0

LLM Foundry is an efficient codebase for training, evaluating, and deploying Large Language Models (LLMs) and serves as the foundation for the MPT model series.

In addition to the usual bug fixes and performance improvements, we've made foundry more customizable and extensible!

New Features

Registerable Components (#975, #1043, #1052, #1057)

We've made key components of LLM Foundry registrable, such as models, loggers, and callbacks. You can use the registry to easily customize and extend your training workflows.

This means that you can register new options for these components, and then use them in your yaml config.

Check out the README for detailed instructions and code examples!

Breaking Changes and Deprecations

Deprecated Feature Removals (#1063)

We've removed support for deprecated features: triton attention, Prefix LMs, Llama attention patch, z-loss, and text denoising. These features were little used, and we removed them to focus on the core features that are heavily used.

If you were using these features please let us know how you were using them in a GitHub issue. We're happy to add things back that are in heavy usage.

What's Changed

New Contributors

Full Changelog: v0.6.0...v0.7.0