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chore: import upstream snapshot with attribution
2026-07-13 13:23:58 +08:00

40 lines
1.1 KiB
Python

from pathlib import Path
from typing import Union
import pytest
import tvm
from mlc_llm.loader import HuggingFaceLoader
from mlc_llm.model import MODEL_PRESETS, MODELS
from mlc_llm.quantization import QUANTIZATION
from mlc_llm.support import logging, tqdm
logging.enable_logging()
@pytest.mark.parametrize(
"param_path",
[
"./dist/models/llama-2-7b-w4-g128-awq.pt",
"./dist/models/Llama-2-7B-AWQ/model.safetensors",
],
)
def test_load_llama(param_path: Union[str, Path]):
path_params = Path(param_path)
model = MODELS["llama"]
quantization = QUANTIZATION["q4f16_awq"]
config = model.config.from_dict(MODEL_PRESETS["llama2_7b"])
loader = HuggingFaceLoader(
path=path_params,
extern_param_map=model.source["awq"](config, quantization),
)
with tqdm.redirect():
for _name, _param in loader.load(tvm.device("cpu")):
...
if __name__ == "__main__":
test_load_llama(param_path="./dist/models/llama-2-7b-w4-g128-awq.pt")
test_load_llama(param_path="./dist/models/Llama-2-7B-AWQ/model.safetensors")