| library_name: safetensors | |
| license: other | |
| license_name: bagel-derived | |
| license_link: https://huggingface.co/ByteDance-Seed/BAGEL-7B-MoT | |
| pipeline_tag: any-to-any | |
| tags: | |
| - multimodal | |
| - any-to-any | |
| - modus | |
| gated: manual | |
| extra_gated_heading: Access MODUS 16-modality weights | |
| extra_gated_prompt: These weights are derived from ByteDance BAGEL-7B-MoT and fine-tuned | |
| on the MODUS 15-modality dataset. By requesting access you agree to use them for | |
| research purposes only, consistent with the upstream BAGEL license. | |
| extra_gated_fields: | |
| Name: text | |
| Affiliation: text | |
| I will use these weights for research purposes only: checkbox | |
| extra_gated_button_content: Request access | |
| # MODUS | |
| MODUS for any-to-any generation (15 aligned modalities) as presented in [MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities](https://huggingface.co/papers/2607.25948). | |
| Project page: https://modus-multimodal.epfl.ch/ | |
| Code: https://github.com/EPFL-VILAB/Modus | |
| **Inference config (important):** | |
| - modality config: `conf/modalities/instruction_16mod_stage2.yaml` | |
| - weights are **bf16**. | |
| ## Files | |
| - `model.safetensors` — trained weights (bf16) | |
| - `ae.safetensors` — VAE (image decode) | |
| - `config.json` / `llm_config.json` / `vit_config.json` — architecture config | |
| - `vocab.json` / `merges.txt` / `tokenizer_config.json` — tokenizer |