mirror of https://github.com/hpcaitech/ColossalAI
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
60 lines
1.7 KiB
60 lines
1.7 KiB
import argparse
|
|
import os
|
|
|
|
import torch
|
|
from datasets import load_dataset
|
|
from transformers import LlamaTokenizer
|
|
|
|
from colossalai.inference.quant.smoothquant.models.llama import SmoothLlamaForCausalLM
|
|
|
|
|
|
def build_model_and_tokenizer(model_name):
|
|
tokenizer = LlamaTokenizer.from_pretrained(model_name, model_max_length=512)
|
|
kwargs = {"torch_dtype": torch.float16, "device_map": "sequential"}
|
|
model = SmoothLlamaForCausalLM.from_pretrained(model_name, **kwargs)
|
|
model = model.to(torch.float32)
|
|
return model, tokenizer
|
|
|
|
|
|
def parse_args():
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument("--model-name", type=str, help="model name")
|
|
parser.add_argument(
|
|
"--output-path",
|
|
type=str,
|
|
help="where to save the checkpoint",
|
|
)
|
|
parser.add_argument(
|
|
"--dataset-path",
|
|
type=str,
|
|
help="location of the calibration dataset",
|
|
)
|
|
parser.add_argument("--num-samples", type=int, default=10)
|
|
parser.add_argument("--seq-len", type=int, default=512)
|
|
args = parser.parse_args()
|
|
return args
|
|
|
|
|
|
@torch.no_grad()
|
|
def main():
|
|
args = parse_args()
|
|
model_path = args.model_name
|
|
dataset_path = args.dataset_path
|
|
output_path = args.output_path
|
|
num_samples = args.num_samples
|
|
seq_len = args.seq_len
|
|
|
|
model, tokenizer = build_model_and_tokenizer(model_path)
|
|
if not os.path.exists(dataset_path):
|
|
raise FileNotFoundError(f"Cannot find the dataset at {args.dataset_path}")
|
|
dataset = load_dataset("json", data_files=dataset_path, split="train")
|
|
|
|
model.quantized(tokenizer, dataset, num_samples=num_samples, seq_len=seq_len)
|
|
model = model.cuda()
|
|
|
|
model.save_quantized(output_path, model_basename="llama-7b")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|