ByteDance-Seed / ByteDance-Seed/Bagel
Why are torch and python old versions?
- Dominant language
- Python
- Stars
- 6.2k
- Forks
- 545
- PR merge metrics
- No merged PRs in 30d
Description
Requirements are to create a virtual environment with Python 3.10, Torch 2.5.1 (which is only compatible with CUDA 12.4), and anything else causes flash attention install to fail.
This is very difficult to co-exist with platforms that require much more updated software. Why cannot this be updated to support the latest torch, CUDA and a reasonably recent python like 3.12?
Contributor guide
No contributing guide indexed for this repository
Research direction
No files or tests are named. Start by locating the environment and dependency requirements that pin Python 3.10 and Torch 2.5.1, then check flash-attention installation constraints against newer Python, Torch, and CUDA versions; done means the project installs and supports the requested newer versions without breaking flash attention.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- build-system, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100