Moonshot AI Publishes Kimi K3.1 Pro Weights on Hugging Face

Moonshot AI has published Kimi K3.1 Pro’s weights on Hugging Face, giving developers access to the model files for a system that was already available through its API. The API supports interfaces compatible with OpenAI and Anthropic. Developers can call the model by selecting kimi-k3.1-pro on platform.kimi.ai. Kimi K3.1 Pro is the first model in the K3.1 series and uses a mixture-of-experts architecture. It has 2.8 trillion total parameters, including 104 billion active parameters, and a context window of about 1 million tokens. The weights use MXFP4 quantization, while activations use MXFP8. Training used quantization-aware methods. Moonshot AI set Nov.

Source: TokenPost