Visionary MLX
MLX video tokenizer, action-conditioned world model, and imagination-trained agent.
champion is the high-capacity configuration for the included 64px synthetic-video workload. It is not a state-of-the-art claim: release a trained checkpoint and its held-out report first.
visionary-mlx pipeline --config champion --env arena --run-dir runs/champion
visionary-mlx collect --env arena --data-dir data/eval --seed 100 --num-episodes 256
visionary-mlx benchmark --config champion --env arena --run-dir runs/champion \
--eval-data-dir data/eval --name visionary-mlx-champion --out-dir releases/v0.2.0
python -m pytest
The benchmark command writes JSON and Markdown evidence from a separate,
deterministic held-out rollout set. The shipped environments are synthetic
(arena, pong, and balls), so their scores are not comparable to external
vision or video benchmarks.
Release status
This repository is the source release and model card for the ongoing
champion training run. No pretrained weights or external benchmark claims
are published yet. The first weight release will include safetensors,
configuration, deterministic held-out benchmark JSON/Markdown, and the
training commit SHA.
Long MLX runs checkpoint tokenizer, dynamics, and agent weights periodically; preview generation is non-fatal when local storage is exhausted.