ml-explore / ml-explore/mlx-examples
mlx_lm.fuse can not work
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 9k
- Forks
- 1.2k
- PR merge metrics
- No merged PRs in 30d
Description
mlx_lm.generate --model mlx-community/Qwen2.5-7B-Instruct-4bit --adapter-path ./weclone_adapters --prompt "你是谁"
mlx_lm.generate --model ./weclone_model --prompt "你是谁"
has different answer。it seem that weclone_model cat not work
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 reproducing the two mlx_lm.generate commands from the issue and compare their outputs with the adapter and fused model. Then trace the mlx_lm.fuse and mlx_lm.generate entry points to determine why ./weclone_model differs from the adapter-backed run. Done means the fusion behavior is explained and the reported command produces the expected answer.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- cli, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100