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Kimi K3 模型概览:2.8T 参数与 MXFP4 量化

原标题:Kimi K3 Model Overview: 2.8T Parameters, MXFP4 Quantization, and What the Open Weights Mean for the Community

Hugging Face Blog一手来源模型发布质量 90

AI 摘要

Moonshot AI 于 2026 年 7 月 16 日发布 Kimi K3,这是首个达到 2.8 万亿参数的开源模型,采用 MoE 架构和 MXFP4 量化,支持 100 万 token 上下文及原生视觉。模型在多个基准测试中表现优异,尤其在编码任务上领先。开源权重计划于 7 月 27 日发布,将推动社区研究和部署。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

Kimi K3 Model Overview: 2.8T Parameters, MXFP4 Quantization, and What the Open Weights Mean for the Community Moonshot AI publicly released Kimi K3 on July 16, 2026, with full open-source weights promised by July 27. At 2.8 trillion parameters, it is the first open-source model to reach the 3-trillion-parameter class. This article provides a structured model overview for the research and MLOps community. | Field | Value | |---|---| | Developer | Moonshot AI | | Model type | Autoregressive Mixt


发布时间:—
抓取时间:2026-08-02 00:09
来源机构:Hugging Face
阅读原文huggingface.co