dgrauet/vjepa-2.1-vitl-mlx
024
dgrauet/vjepa-2.1-vitl-mlx
MLX format model.
Converted with mlx-forge.
Usage
These weights can be used with vjepa2-mlx:
git clone https://github.com/dgrauet/vjepa2-mlx.git && cd vjepa2-mlx
uv pip install -e packages/vjepa2-core-mlx
python - <<'PY'
from vjepa2_core_mlx.utils.weights import from_pretrained
encoder = from_pretrained("dgrauet/vjepa-2.1-vitl-mlx") # or a local converted directory
feats = encoder(clip) # clip: B, C, T, H, W (channels-first)
PYRelated Projects
- Upstream (Meta): https://github.com/facebookresearch/vjepa2
- MLX inference port: https://github.com/dgrauet/vjepa2-mlx
- Source checkpoint: https://dl.fbaipublicfiles.com/vjepa2/vjepa21vitldistvitG_384.pt
Files
config.json(861.00 B)encoder.safetensors(1.14 GB)predictor.safetensors(87.65 MB)split_model.json(944.00 B)
