GPT-OSS 120B Uncensored Model Released in Native MXFP4 Precision

A new uncensored version of GPT-OSS 120B has been released, featuring 117 billion total parameters with a mixture-of-experts architecture using 128 experts and top-4 routing, resulting in approximately 5.1 billion active parameters during inference. The model supports 128K context length and is notable for being trained in native MXFP4 precision rather than being post-training quantized.

The native MXFP4 precision is particularly significant for local deployment as it maintains model quality while offering the memory efficiency benefits typically associated with quantization. This approach represents a new direction in model training where efficiency considerations are built into the training process rather than applied afterwards.

For local LLM practitioners, this release offers a powerful alternative to heavily censored models while maintaining efficient resource usage through its MoE architecture and native low-precision training. The full release details and download links are available in the community discussion.

Source: r/LocalLLaMA · Relevance: 8/10