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Clean C language version of quantizing llama2 model and running quantized llama2 model

License: Apache License 2.0

Python 14.81% C 75.54% Makefile 2.82% Jupyter Notebook 6.83%
google-colab large-language-models quantization quantization-algorithms quantization-efficient-network

llamaqt.c's Introduction

llama2qt.c

Clean C language version of quantizing llama2 model and running quantized llama2 model.

The code contains some modifications (mainly about quantization and running quantized model) based on llama.c (Inference Llama 2 in one file of pure C) from Andrej Karpathy.

Simple instructions:

8bit quantization, grouping per layer, without block:

gcc -O3 -o quantize quantize_8bit.c -lm

./quantize {model_name}.bin

Inference 8bit quantization

gcc -O3 -march=native runq.c -o runq -lm

./runq llama2_7b_8bit.bin -t {temperature} -p {top_p} -n {max_token} -i "{prompt}"

8bit quantization, grouping by 64 * 64 block:

gcc -O3 -o quantize quantize_8bit_64block.c -lm

A quick test, using the Google colab:

Open In Colab

More details can be found in the README.md .

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