llama.cpp

Last updated on Mar 4th, 2025.

This repo is cloned from llama.cpp commit 06c2b1561d8b882bc018554591f8c35eb04ad30e. It is compatible with llama-cpp-python commit 710e19a81284e5af0d5db93cef7a9063b3e8534f

Customize quantization group size at compilation (CPU inference only)

The only thing that is different is to add -DQK4_0 flag when cmake.

cmake -B build_cpu_g128 -DQK4_0=128
cmake --build build_cpu_g128

To quantize the model with the customized group size, run

./build_cpu_g128/bin/llama-quantize <model_path.gguf> <quantization_type>

To run the quantized model, run

./build_cpu_g128/bin/llama-cli -m <quantized_model_path.gguf>

Note:

You should make sure that the model you run is quantized to the same group size as the one you compile with. Or you'll receive a runtime error when loading the model.