nathan chen
@nathancgy4
learning, entropy-maximizing, opinions
Joined April 2022
730 Following 20.7K Followers
So many exciting research now shared openly. Enjoy!
Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights:
Tech report:
Tech blog:
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