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mlx-community/
V-JEPA2-AC-vitg

Name: V-JEPA2-AC-vitg
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V-JEPA2-AC ViT-g (MLX) — action-conditioned world-model

Apple MLX fp16 port of Meta's V-JEPA2-AC (vjepa2-ac-vitg): a ViT-g video encoder + an action-conditioned predictor that, given encoder context tokens + per-frame 7-DoF robot poses (action/state), predicts future latent states — the world-model used for robot planning. MIT.

python

from vjepa2_mlx.utils.weights import build_ac_encoder, build_ac_predictor
enc = build_ac_encoder()          # ViT-g encoder (hidden 1408, 40 layers)
pred = build_ac_predictor()       # AC predictor (frame-causal, 3D-RoPE)
# tokens = enc(video); future = pred(tokens, actions, states)

Arch: ViT-g encoder (1408 / 40 / 22 heads, GELU, 3D-RoPE) + AC predictor (1024 / 24 / 16, fused-qkv ACRoPEAttention, frame-causal mask, 7-DoF action+state encoders).
Parity vs upstream torch (cpu fp32): encoder rel 3.5e-5 · AC predictor rel 8.8e-6 (structural 8.9e-8). fp16: encoder rel 9.1e-3 · predictor 4.8e-4.
Precision: fp16 (~2.6 GB).

mlx-community/V-JEPA2-AC-vitg

V-JEPA2-AC ViT-g (MLX) — action-conditioned world-model

mlx-community/
V-JEPA2-AC-vitg