Zephyr-7B-Beta is a 7 billion parameter language model created by Hugging Face. It is a fine-tune of Mistral-7B using direct preference optimization (DPO) and synthetic data, resulting in strong performance on chat and instruction-following benchmarks. The model is provided with full open weights and a chat template, making it suitable for local deployment, research, and integration into applications via the Hugging Face ecosystem.
In the Foundation models & chat space, Zephyr 7b Beta takes a focused approach. It focuses on running a lightweight, high-performing open-source chat model that rivals larger proprietary assistants. It is built as an open-source project for developers. The project is open source (Apache-2.0). Zephyr 7b Beta is available on the web, the command line, and API.
Behind Zephyr 7b Beta is Hugging Face, and it first shipped in 2023. The project is developed in the open on GitHub with 5.6k stars. Among its 3 catalogued features are chat template, instruction tuned, and open weights.
Summary written by a language model from the project’s public pages.
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