ml-explore / ml-explore/mlx-examples
Impossible to fuse Mistral-7b-Instruct-v0.2 after finetuning
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Description
Hi everyone,
I'm unable to fuse the model after finetuning, I got this error. Can someone please help? All paths are correct and the adapter works just fine.
antoine@Mac-Studio lora % python fuse.py --model "/Users/antoine/Documents/GitHub/EVD.COVID_ANALYSIS/EVD.COVID_ANALYSIS/Models.nosync/Mistral/Mistral-7B-Instruct-v0.2/" --save-path "/Users/antoine/Documents/GitHub/EVD.COVID_ANALYSIS/EVD.COVID_ANALYSIS/Models.nosync/Mistral/fine-tuned/" --adapter-file "/Users/antoine/Documents/GitHub/EVD.COVID_ANALYSIS/EVD.COVID_ANALYSIS/Models.nosync/Mistral/adapters/adapters.npz" --de-quantize
Loading pretrained model
Traceback (most recent call last):
File "/Users/antoine/Documents/GitHub/EVD.COVID_ANALYSIS/EVD.COVID_ANALYSIS/mlx-examples-main-2/lora/fuse.py", line 55, in
model, tokenizer, config = utils.load(args.model)
^^^^^^^^^^^^^^^^^^^^^^
File "/Users/antoine/Documents/GitHub/EVD.COVID_ANALYSIS/EVD.COVID_ANALYSIS/mlx-examples-main-2/lora/utils.py", line 154, in load
raise FileNotFoundError("No safetensors found in {}".format(model_path))
FileNotFoundError: No safetensors found in /Users/antoine/Documents/GitHub/EVD.COVID_ANALYSIS/EVD.COVID_ANALYSIS/Models.nosync/Mistral/Mistral-7B-Instruct-v0.2
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 with lora/fuse.py and lora/utils.py, especially the load call and the FileNotFoundError for missing safetensors. Reproduce the reported command with the referenced model and adapter paths, then determine whether the expected model files are present and document a confirmed resolution or clearer failure guidance.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100