Lynx-Instruct-30B is a 30 billion parameter language model fine-tuned for instruction following. Hosted on Hugging Face, it provides open weights for local or self-hosted inference. The model includes a chat template supporting tool calling and is intended for developers and researchers building with large language models.
In the Foundation models & chat space, Lynx Instruct 30b takes a focused approach. It focuses on running and experimenting with a capable open-source 30B instruct model locally or via self-hosted inference. It is built as an open-source project for developers. The project is open source (MIT). It runs on the web, the command line, and API, and it can be self-hosted.
bineric builds and maintains Lynx Instruct 30b, and it first shipped in 2021. The project is developed in the open on GitHub with 191 stars and 633 commits in the last 90 days. Among its 4 catalogued features are instruct-tuned, tool calling, and chat template.
Summary written by a language model from the project’s public pages.
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