Skip to content

face-parsing-bisenet-bf16

mlx-community/face-parsing-bisenet-bf16
bf16 Open on Hugging Face
Parameters
13M
Weights (est.)
≈ 27 MB
Mac memory (est.)
8 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Details

Base model
TMElyralab/MuseTalk (finetune)
Vendor
TMElyralab
Task
Image segmentation
Quantisation
bf16
Licence
mit
Downloads
55 in the last 30 days · 229 all time · 0 likes
Published
2026-06-14 · updated 2026-06-14 (5mo ago)
Tags
face-parsing, bisenet, segmentation

Other MLX builds of TMElyralab/MuseTalk

Build Quantisation Weights Mac memory Downloads
face-parsing-bisenet-bf16 (this one) bf16 ≈ 27 MB 8 GB+ 55
MuseTalk-1.5-fp16 fp16 — — 1.3K
MuseTalk-1.5-q4 4-bit — — 1.1K
MuseTalk-1.5-q8 8-bit — — 380