| --- |
| license: other |
| library_name: transformers |
| pipeline_tag: image-text-to-text |
| tags: |
| - deconav |
| - embodied-navigation |
| - vision-language-navigation |
| - multi-robot |
| --- |
| |
| # DeCoNav Release Assets |
|
|
| This repository contains the external model and perception assets required by |
| the DeCoNav evaluator. It is designed to be downloaded into the `assets/` |
| directory of the DeCoNav source repository. |
|
|
| ## Contents |
|
|
| ```text |
| models/ |
| deconav_nav_policy/ # Fine-tuned Qwen3-VL navigation policy |
| deconav_eva_clip.pt # EVA-CLIP visual encoder checkpoint |
| perception/ |
| deconav_clip.pt # Fine-tuned object-recognition checkpoint |
| deconav_clip_thresholds.json |
| deconav_room_classifier/ |
| config.json |
| best_model.pt |
| ``` |
|
|
| Training state, optimizer state, RNG state, scheduler files, and conversion |
| utilities are intentionally excluded. The source repository validates every |
| required file before evaluation starts. |
|
|
| ## Usage |
|
|
| ```bash |
| hf download Sunyao/deconav --repo-type model --revision REVISION \ |
| --local-dir assets |
| ``` |
|
|
| Replace `REVISION` with the immutable revision recorded in the DeCoNav |
| `ASSET_MANIFEST.json`. The runtime uses local files only and does not enable |
| `trust_remote_code`. |
|
|
| ## Intended Use |
|
|
| These assets are intended for research reproduction of the five DeCoNav |
| evaluation modes on the released task manifest. They are not a general-purpose |
| robot-control system and must not be used as a safety-critical controller. |
|
|
| ## License |
|
|
| The navigation checkpoint is a derivative of Qwen model materials and is |
| distributed under the Qwen Research License included as `LICENSE`. That |
| license contains non-commercial, redistribution, attribution, and other use |
| conditions. EVA-CLIP and other perception components also retain their |
| upstream terms. The MIT license of the DeCoNav source repository does not |
| relicense these weights. |
|
|
| ## Evaluation |
|
|
| The published 100-task Full reference result is BSR 40.0%, OSR 50.0%, ISR |
| 58.5%, and SPL 0.369752. Detailed result provenance is published with the |
| matching DeCoNav source release. |
|
|
