cpaua
·1 min0

Moonshot Releases Kimi K3: 2.8T Parameter MoE Model on Hugging Face

Moonshot, as promised, has released the Kimi K3 weights

The model is already Hugging Facemoonshotai/Kimi-K3huggingface.co/moonshotai/Kimi-K3 on Hugging Face.

Kimi K3 is their most powerful model: 2.8 trillion parameters in an MoE architecture, native image understanding, and a context window of 1 million tokens.

Moreover, they didn't just release the weights. Moonshot also released part of the K3 stack: high-performance attention kernels, a communication library for MoE, and infrastructure for large-scale deployment of agentic environments.

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cpaua

VibeCode blog admin. Writing about vibe coding, AI and open source.

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