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MiniMax 官方确认 Unsloth 2-bit GGUF:143.9GB、91.5% top-1 一致率

MiniMax 官方转发 Unsloth 动态 GGUF:428B MoE 压到 143.9GB 2-bit,七个领域 top-1 一致率 91.5%,可经 llama.cpp 本地部署。

MiniMax (official)
@MiniMax_AI1 天前收录原推发布于 2026.10.27
MiniMax 官方确认 Unsloth 2-bit GGUF:143.9GB、91.5% top-1 一致率
MiniMax (official) @MiniMax_AI原推发布于 2026.10.27
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MiniMax M3.1 Flash meets the @UnslothAI community. 🐙🦥✨ Unsloth’s Dynamic GGUFs bring our 428B MoE model to a 143.9GB 2-bit footprint, with 91.5% top-1 token agreement in their evaluation across seven domains. That means a lower memory barrier to self-hosting, deployment through Unsloth Desktop and llama.cpp, and an OpenAI-compatible API for existing apps and agents. With 78K+ GitHub stars and over 500M model downloads on Hugging Face, Unsloth gives M3.1 Flash a path into an established community of developers running, evaluating and building with open models. Open weights. Local control. More ways to build.

这条是引用着另一条写的:「Unsloth 发布 M3.1 Flash 2-bit GGUF:150GB 内存可跑」

x.com/minimax_ai/status/2114815625310933277采集于 2026.10.27 12:04