Using uv with PyTorch (via) PyTorch is a notoriously tricky piece of Python software to install, due to the need to provide separate wheels for different combinations of Python version and GPU accelerator (e.g. different CUDA versions).
uv now has dedicated documentation for PyTorch which I'm finding really useful - it clearly explains the challenge and then shows exactly how to configure a pyproject.toml such that uv knows which version of each package it should install from where.
Recent articles
- Design Patterns for Securing LLM Agents against Prompt Injections - 13th June 2025
- Comma v0.1 1T and 2T - 7B LLMs trained on openly licensed text - 7th June 2025
- The last six months in LLMs, illustrated by pelicans on bicycles - 6th June 2025