Open glibg10b opened 3 weeks ago
@glibg10b Thanks for reporting the bug! We are aware of the bug and are currently waiting for either outlines or tensorizer to update its Numpy dependency (e.g., by adding numpy < 2.0.0
in its dependency). If they don't, we will make a new release with the fixed Numpy dependency.
Fixed by #5582.
Edit: Sorry, just saw your last sentence. Let's rename the title to also include the cause of the problem.
Anything you want to discuss about vllm.
Users may see the following error when trying to run vllm:
This is because numpy recently released a breaking change (2.0.0), and for some reason, vllm's dependencies don't restrict the version based on the major number (which should have been frozen at 1).
5582 works around this, but this hasn't reached me -- I suspect it's because I'm using
pip install
instead of building from source. A workaround for users like me is to runpip install numpy==1.26.4
.The purpose of this issue is to show up when users search for the above output. Please do not close it until the fix is available to users of pip install.