sardukar/llama13b-4bit-v2

Quantized Meta AI's LLaMA in 4bit with the help of GPTQ algorithm v2.

• llama13b-4bit-ts-ao-g128-v2.safetensors GPTQ implementation - https://github.com/qwopqwop200/GPTQ-for-LLaMa/tree/49efe0b67db4b40eac2ae963819ebc055da64074

Conversion process:

CUDA_VISIBLE_DEVICES=0 python llama.py ./llama-13b c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors ./q4/llama13b-4bit-ts-ao-g128-v2.safetensors

• llama13b-4bit-v2.safetensors GPTQ implementation - https://github.com/qwopqwop200/GPTQ-for-LLaMa/tree/841feedde876785bc8022ca48fd9c3ff626587e2

Note: This model will fail to load with current GPTQ-for-LLaMa implementation

Conversion process

CUDA_VISIBLE_DEVICES=0 python llama.py ./llama-13b c4 --wbits 4 --true-sequential --act-order  --save_safetensors ./q4/llama13b-4bit-v2.safetensors