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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.
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