ml-explore / ml-explore/mlx-examples
Running larger MobileCLIP and AIMv2 on MLX
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- Dominant language
- Python
- Stars
- 9k
- Forks
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Description
It would be great to have an addition to the examples on how to run Apple's MobileCLIP and AIMv2 models on MLX.
Currently we only have the two smaller MobileCLIP versions in MLX format available, and there are no examples on how to encode text using the Zero-shot Adapted AIMv2. I'm curious to benchmark similar tasks against PyTorch with MPS or CUDA backends.
Maybe there is some conversion script I could run myself for MobileCLIP-B-LT?
AIMv2 already runs in MLX, just missing some MLX examples on how to encode text and run it in a different way than the other variants.
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 reviewing the existing MLX MobileCLIP examples and the current AIMv2 MLX support. Compare the Zero-shot Adapted AIMv2 usage described in the linked ml-aim documentation with the available examples, and investigate whether MobileCLIP-B-LT has a conversion path. Done means documented examples for the requested models and text encoding workflow, with benchmarking against PyTorch MPS or CUDA where practical.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100