How to run Kimi K3 on Runpod's Public Endpoint

Kimi K3, Moonshot Labs' latest open-source model, stands out for its impressive 1-million-token context window and 2.8-trillion-parameter scale, making it suitable for advanced coding, knowledge work, and reasoning tasks. Unlike previous models, Kimi K3 utilizes a novel architectural approach with hybrid linear attention and extreme MoE sparsity, distinguishing itself by using Kimi Delta Attention across most of its layers to enhance information flow. The model is also notable for its native multimodality, effectively processing text, images, and video, and it demonstrates high performance in document and video understanding benchmarks. Additionally, Kimi K3 is optimized for hardware efficiency through quantization-aware training, allowing it to operate with reduced memory requirements while maintaining performance. It is accessible via Runpod's API, enabling users to experiment with long-horizon autonomy and chip design applications, and can be integrated with OpenAI's API format for extended functionality.

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