MasterJH5574
commented
1 month ago Hi @jackuh105 thanks for reporting and share the detailed error message. From the backtrace it looks like the actual error happens during download
File "D:\projects\llm-app\mlc-llm\.env\lib\site-packages\mlc_llm\support\download_cache.py", line 228, in get_or_download_model
model_path = download_and_cache_mlc_weights(model)
File "D:\projects\llm-app\mlc-llm\.env\lib\site-packages\mlc_llm\support\download_cache.py", line 192, in download_and_cache_mlc_weights
futures.append(executor.submit(download_file, file_url, file_dest, file_md5))
File "C:\Users\jackc\.pyenv\pyenv-win\versions\3.10.9\lib\concurrent\futures\process.py", line 732, in submit
self._adjust_process_count()
File "C:\Users\jackc\.pyenv\pyenv-win\versions\3.10.9\lib\concurrent\futures\process.py", line 692, in _adjust_process_count
self._spawn_process()
File "C:\Users\jackc\.pyenv\pyenv-win\versions\3.10.9\lib\concurrent\futures\process.py", line 709, in _spawn_process
p.start()
File "C:\Users\jackc\.pyenv\pyenv-win\versions\3.10.9\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\jackc\.pyenv\pyenv-win\versions\3.10.9\lib\multiprocessing\context.py", line 336, in _Popen
return Popen(process_obj)
File "C:\Users\jackc\.pyenv\pyenv-win\versions\3.10.9\lib\multiprocessing\popen_spawn_win32.py", line 45, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\jackc\.pyenv\pyenv-win\versions\3.10.9\lib\multiprocessing\spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "C:\Users\jackc\.pyenv\pyenv-win\versions\3.10.9\lib\multiprocessing\spawn.py", line 134, in _check_not_importing_main
raise RuntimeError('''
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.In this case, could make sure that you have git-lfs installed and try again? If it still doesn't work, alternatively you can manually clone the model and then run the updated demo.py below to run the downloaded repo.
git lfs install
git clone https://huggingface.co/mlc-ai/Llama-3-8B-Instruct-q4f16_1-MLC# demo.py
from mlc_llm import MLCEngine
# Create engine
model = "./Llama-3-8B-Instruct-q4f16_1-MLC"
engine = MLCEngine(model)
# Run chat completion in OpenAI API.
for response in engine.chat.completions.create(
messages=[{"role": "user", "content": "What is the meaning of life?"}],
model=model,
stream=True,
):
for choice in response.choices:
print(choice.delta.content, end="", flush=True)
print("\n")
engine.terminate()We will try to update our error message to avoid the confusion, thanks for bringing this up.
jackuh105
SkyHeroesS
AylerH
🐛 Bug
To Reproduce
Steps to reproduce the behavior:
Error Message
Expected behavior
Environment
conda, source): pippip, source): pippython -c "import tvm; print('\n'.join(f'{k}: {v}' for k, v in tvm.support.libinfo().items()))", applicable if you compile models): I haven't compile any model yet, but here's the result:If you need any other info, please tell me, I'll try to collect them. Thank you.