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wget https://github.com/intel/auto-round/archive/refs/tags/v0.4.7.tar.gz
tar -xvzf v0.4.7.tar.gz
cd auto-round-0.4.7
pip install -r requirements-cpu.txt --upgradepip install -vvv --no-build-isolation -e .[cpu] from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "ibm-granite/granite-3.3-2b-base"
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
from auto_round import AutoRound
bits, group_size, sym, device = 4, 64, False, 'cpu'
autoround = AutoRound(model, tokenizer, nsamples=128, iters=200, seqlen=512, batch_size=4, bits=bits, group_size=group_size, sym=sym, device=device)
autoround.quantize()
output_dir = "./AutoRound/ibm-granite_granite-3.3-2b-base-autoawq-int4-gs64-asym"
autoround.save_quantized(output_dir, format='auto_awq', inplace=True)