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Karajan42/diamond-doom-hg-v5.3
diamond-doom-hg-v5.3 is a machine learning model from Karajan42. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A diffusion-based world model trained on Doom Health Gathering maps with zero entity persistence regression through 490 effective epochs.
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Updated Jul 23, 2026
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From the Hugging Face model README
A diffusion-based world model trained on Doom Health Gathering maps with zero entity persistence regression through 490 effective epochs.
| Epoch | Items Disappearances | Enemies Disappearances | Denoiser Loss |
|---|---|---|---|
| 50 | 0 | 0 | 0.01123 |
| 100 | 0 | 0 | 0.01069 |
| 200 | 0 | 0 | 0.01011 |
| 300 (this ckpt) | 0 | 0 | 0.00973 |
Controls: Z/UP=Forward, A/LEFT=Turn Left, R/RIGHT=Turn Right, SPACE=Attack
Based on DIAMOND with minimap conditioning extensions. Architecturally equivalent to the Memory/Observation/Dynamics decomposition in MultiGen (Stanford/Google, 2026).
agent_epoch_00300.pt: model checkpoint (267MB, effective epoch 490)config/: Hydra configs for agent, env, and trainerdata/v5_3_init/: 3 initialization episodes with weapon + enemies