chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,39 @@
|
||||
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")
|
||||
Reference in New Issue
Block a user