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wget https://github.com/intel/auto-round/archive/refs/tags/v0.4.5.tar.gz
tar -xvzf v0.4.5.tar.gz
cd auto-round-0.4.5
pip install -r requirements-cpu.txt --upgradepip install -vvv --no-build-isolation -e .[cpu] from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "EleutherAI/pythia-12b-deduped"
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
from auto_round import AutoRound
bits, group_size, sym, device, amp = 8, 128, True, 'cpu', False
autoround = AutoRound(model, tokenizer, nsamples=128, iters=200, seqlen=512, batch_size=4, bits=bits, group_size=group_size, sym=sym, device=device, amp=amp)
autoround.quantize()
output_dir = "./AutoRound/EleutherAI_pythia-12b-deduped-autogptq-int8-gs128-sym"
autoround.save_quantized(output_dir, format='auto_gptq', inplace=True)