Any-to-Any
Safetensors
multimodal
modus
MODUS / README.md
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metadata
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.

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