Downloads · 30 days
18
16% of all-time downloads
vjepa-2.0-vitl-mlx
dgrauet/vjepa-2.0-vitl-mlx
vjepa-2.0-vitl-mlx is a machine learning model from dgrauet. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as mit.
MLX format conversion of facebook/vjepa2-vitl-fpc64-256.
All-time downloads
112
Public
Repo size
1.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.9 GB · 100%
At a glance
- Library
- mlx
- License
- mit
- Model type
- vjepa2-vitl
- Access
- Public
- Created
- May 27, 2026
- Updated
- Aug 15, 2026
- SHA
- 3ec00017
Base models
Model card
From the Hugging Face model README
dgrauet/vjepa-2.0-vitl-mlx
MLX format conversion of facebook/vjepa2-vitl-fpc64-256.
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-2.0-vitl-mlx") # or a local converted directory
feats = encoder(clip) # clip: B, C, T, H, W (channels-first)
PY
Related Projects
- Upstream (Meta): https://github.com/facebookresearch/vjepa2
- MLX inference port: https://github.com/dgrauet/vjepa2-mlx
Files
config.json(833.00 B)diving48_probe.safetensors(188.40 MB)ek100_probe.safetensors(203.68 MB)encoder.safetensors(1.13 GB)predictor.safetensors(84.27 MB)split_model.json(1008.00 B)ssv2_probe.safetensors(188.89 MB)
- Library
- mlx
- Type
- vjepa2-vitl
- License
- mit
- Created
- May 27, 2026
- Updated
- Aug 15, 2026