---
license: mit
tags:
  - tinyworlds
  - world-model
  - dynamics-model
  - checkpoints
---

# large-dynamics-training

Training run checkpoints for the TinyWorlds **dynamics** model (large variant).

- Source run timestamp: `2026_06_24_15_31_15`
- Checkpoints: 24 steps (`dynamics_step_0` through `dynamics_step_23000`, every 1000 steps)
- Each checkpoint contains:
  - `model_state_dict.pt` (~305 MB)
  - `optim_state_dict.pt` (~611 MB)
  - `state.pt` (small training state metadata)
- `dynamics/visualizations/` — per-step `dynamics_prediction_step_*.png` previews
- `dynamics/data_partition.yaml` — data partition config used for this run

## Loading a checkpoint

```python
from huggingface_hub import hf_hub_download
import torch

ckpt_path = hf_hub_download(
    repo_id="qtris123/large-dynamics-training",
    filename="dynamics/checkpoints/dynamics_step_23000/model_state_dict.pt",
)
state_dict = torch.load(ckpt_path, map_location="cpu", weights_only=True)
```