README.md

metadata

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

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)