---
license: mit
tags:
  - robotics
  - reinforcement-learning
  - world-model
  - libero
  - video-generation
---

# Pretrained pixel world-model assets

Anonymous supplementary checkpoints for the accompanying double-blind
submission. These assets support pixel-based tree-search experiments on five
LIBERO-90 tasks.

## Contents

- `checkpoint_00200000.safetensors`: action-conditioned, two-view, 128-pixel
  video world model trained for 200,000 steps.
- `t5_context_cache/`: precomputed frozen text-encoder outputs for the five
  released task prompts and the empty negative prompt.
- `onestep_state_wm/.../checkpoint_best.safetensors`: one-step state model
  mapping `(state, action)` to the next state.

The base Wan2.2 VAE and tokenizer are third-party assets and are intentionally
not redistributed here. Follow the anonymous code artifact README to obtain
them from their official source.

Download all released assets with:

```bash
hf download qlearningwithworldmodels/anonymous-pixel-world-models \
  --local-dir pixel_world_models
```

Verify downloads against `SHA256SUMS` before use. Author and archival links
are intentionally omitted during double-blind review and will be added after
the review period.