Kimi-Linear Q2_K Quantization Fixed in llama.cpp
The Kimi-Linear Q2_K quantization issue in llama.cpp has been resolved, fixing model loading and inference problems for users running Kimi models with 2-bit
Someone got Kimi-Linear working properly in llama.cpp after fixing some broken Q2_K quantization issues. Turns out the Q2_K version now handles logic puzzles and long-context tasks that were completely broken before.
Quick start:
Pull the fixed branch:
git clone https://github.com/ggml-org/llama.cpp cd llama.cpp git fetch origin pull/18381/head:kimi-linear git checkout kimi-linearGrab the model: https://huggingface.co/AaryanK/Kimi-Linear-48B-A3B-Instruct-GGUF
Or use this Colab notebook to skip the setup: https://colab.research.google.com/drive/1NMHMmmht-jxyfZqJr5xMlOE3O2O4-WDq
The coherence improvements at Q2_K are apparently pretty significant - basic math and essay generation that failed before now work. Worth testing if you’ve been waiting for better quantization support on this model.
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