[WIP] Kimi K2.5 NVFP4 recipe#267
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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces documentation for the Kimi-K2.5-NVFP4 model, an optimized version of Kimi-K2.5 that leverages NVIDIA's quantization techniques. The added content explains the nature of this quantized model and its advantages for deployment, providing essential information for users looking to utilize this specific variant. Highlights
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Code Review
This pull request adds a new section to the Kimi-K2.5.md documentation for the Kimi-K2.5-NVFP4 model. While the new section provides a description of the quantized model, it currently lacks the actual commands or 'recipe' to run it. My review includes a comment to address this missing information, which is especially relevant given the PR is titled as a 'recipe'.
Note: Security Review has been skipped due to the limited scope of the PR.
| ## Running Kimi-K2.5-NVFP4 | ||
| The [Kimi-K2.5-NVFP4](https://huggingface.co/nvidia/Kimi-K2.5-NVFP4) checkpoint is an NVFP4-quantized version of Kimi-K2.5, quantized using [NVIDIA Model Optimizer](https://github.com/NVIDIA/TensorRT-Model-Optimizer). Only the weights and activations of the linear operators within transformer blocks in MoE are quantized to FP4, enabling efficient deployment on fewer GPUs. |
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