| --- |
| license: mit |
| tags: |
| - reinforcement-learning |
| - embodied-ai |
| - behavior-cloning |
| - crafter |
| - craftax |
| - video-language |
| --- |
| |
| # CrafterDojo v1 weights |
|
|
| Pretrained models from **CrafterDojo: An Integrated Research Suite for Building Open-Ended Embodied Agents in Crafter** |
| ([paper](https://arxiv.org/abs/2508.13530), [code](https://github.com/frechele/CrafterDojo), [project](https://sites.google.com/view/crafterdojo)). |
|
|
| | File | Model | Notes | |
| |---|---|---| |
| | `vpt/tiny.safetensors` | CrafterVPT-tiny | behavior cloning, last checkpoint | |
| | `vpt/base.safetensors` | CrafterVPT-base | behavior cloning, last checkpoint | |
| | `vpt/large.safetensors` | CrafterVPT-large | behavior cloning, last checkpoint | |
| | `crafterclip/crafterclip.safetensors` | CrafterCLIP | video–caption encoder (MineCLIP architecture, ViT-B/16 backbone) | |
| | `steve1/steve1.safetensors` | CrafterSteve-1 | instruction-following policy (LoRA on CrafterVPT-base) | |
| | `steve1/steve1_prior.safetensors` | CrafterSteve-1 prior | text → visual-goal CVAE prior | |
| | `vpt/*.yaml` | architecture configs | same files as `models/vpt/*.yaml` in the code repository | |
|
|
| All models are trained on the `sv_gh_pp-10B_20ep` CrafterPlay mixture (Survival + Gatherer experts) in Craftax-Classic. |
| Each `.safetensors` file records its training run in the header metadata. |
|
|
| ## Usage |
|
|
| ```bash |
| git clone https://github.com/frechele/CrafterDojo && cd CrafterDojo |
| bash scripts/download_weights.sh # downloads this repository (revision v1.0) into models/ |
| ``` |
|
|
| Load with the repository's helpers (`crafterdojo.common.checkpoint.load_state_dict`), which also restore the |
| shared CLIP tensors in CrafterCLIP (stored once, listed in the `aliases` metadata entry). |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{park2026crafterdojo, |
| title = {CrafterDojo: An Integrated Research Suite for Building Open-Ended Embodied Agents in Crafter}, |
| author = {Park, Junyeong and Cho, Hyeonseo and Ahn, Sungjin}, |
| journal = {arXiv preprint arXiv:2508.13530}, |
| year = {2026} |
| } |
| ``` |
|
|
