[Bug] qwen 35 megatron bridge install error
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 8.5k
- Forks
- 1.3k
- Avg merge
- 5h 36m
- Merged PRs (30d)
- 22
Description
Bug Description
https://github.com/coding-famer/Megatron-Bridge-slime/tree/qwen35
from megatron.bridge.models.conversion.peft_bridge import AdapterWeightConversionTask, MegatronPeftBridge
but you dont have this src/megatron/bridge/models/conversion/peft_bridge.py
ModuleNotFoundError: No module named 'megatron.bridge.models.qwen_vl.qwen25_vl_provider'
ModuleNotFoundError: No module named 'megatron.bridge.models.mla_provider
Steps to Reproduce
no
Expected Behavior
no
Actual Behavior
no
Environment
- slime version:
- Python version:
- PyTorch version:
- CUDA/ROCm version:
- GPU type and count:
- OS:
- SGLang version (if relevant):
- Megatron-LM version (if relevant):
Logs
Additional Context
No response
Pre-submission Checklist
- I have read the CONTRIBUTING.md and understand the collaboration scope.
- I have read the documentation and my issue is not addressed there.
- I have searched for existing issues and this is not a duplicate.
- I have provided a minimal, reproducible example.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by comparing the qwen35 branch linked in the report with the installed source, especially src/megatron/bridge/models/conversion/peft_bridge.py and the qwen_vl.qwen25_vl_provider and mla_provider import paths. Reproduce the installation and trace which package version or branch provides the missing modules. Done means the reported imports resolve without ModuleNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100