MLX Community · First MLX build 14 Jun 2026
face-parsing-bisenet
MLX
Vision mit
A 13M parameter segmentation model, with one MLX build at bf16.
- Parameters
- 13M From Hugging Face
- Quantisation
- bf16 face-parsing-bisenet-bf16
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 27 MB Weights, estimated
- Downloads
- 57 This build, last 30 days
- Task
- Segmentation Vision
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 3 GB at bf16
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/face-parsing-bisenet-bf16MLX builds
1 on mlx-community| face-parsing-bisenet-bf16 | bf16 | 27 MB | 3 GB | 57 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.