MLX Community · First MLX build 2 Aug 2026
BOPBTL-scratch-detection
MLX
Image mit
A 38M parameter image to image model, with one MLX build at fp32.
- Parameters
- 38M From Hugging Face
- Quantisation
- fp32 BOPBTL-scratch-detection-fp32-mlx
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 151 MB Weights, estimated
- Downloads
- 0 This build, last 30 days
- Task
- Image to image Image
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 3 GB at fp32
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · Hugging Face CLI$ pip install -U huggingface_hub
$ hf download mlx-community/BOPBTL-scratch-detection-fp32-mlxMLX builds
1 on mlx-community| BOPBTL-scratch-detection-fp32-mlx | fp32 | 151 MB | 3 GB | 0 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.