GPTQ
Collection
Llama 2 7B, 13B, Llama 3 8B, and Mistral 7B quantized with GPTQ in 2-bit, 3-bit, 4-bit and 8-bit with GPTQ.
•
16 items
•
Updated
Llama 2 7B quantized in 2-bit with GPTQ.
from transformers import AutoModelForCausalLM, AutoTokenizer
from optimum.gptq import GPTQQuantizer
import torch
w = 2
model_path = meta-llama/Llama-2-7b-hf
tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=True)
model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.float16)
quantizer = GPTQQuantizer(bits=w, dataset="c4", model_seqlen = 4096)
quantized_model = quantizer.quantize_model(model, tokenizer)
- Downloads last month
- 931
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.