A GGUF-format derivative of the gpt-oss-20b language model for local text generation. It is intended for developers and advanced users running compatible inference tools on desktop or server hardware.
Gpt Oss 20b Derestricted sits in PulseGate's Quantised & converted weights category. It focuses on running an open-weight language model locally without relying on a hosted inference service. Gpt Oss 20b Derestricted is an open-source project aimed at developers and local AI enthusiasts. The project is open source (MIT). It runs on the web, the command line, Linux, macOS, and Windows, and it can be self-hosted.
It is developed by Maziyar Panahi, and it first shipped in 2023. Development happens publicly on GitHub with 124.3k stars and 1.2k commits in the last 90 days. Among its 5 catalogued features are GGUF quantization, local inference, and model downloads.
Summary written by a language model from the project’s public pages.
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