BVFM model weights

This model repository contains the deployment weights for the image/text and speech/text branches of Bidirectional Variational Flow Matching (BVFM). Source code, training/inference entry points, and environment instructions live in the separate GitHub repository.

Layout

image/
  bvfm_image_step40000.pt
  FlowTiTok_512.bin
  README.md
speech/
  bvfm_speech_step299999_inference.pt
  merged_config.json
  semantic_vae_1000k/
    config.json
    metainfo.json
    dac/ema_state_dict.pth
  README.md

The repository intentionally excludes training optimizer states, periodic snapshots, logs, metrics, generated samples, datasets, and caches.

Clone with Git LFS or use huggingface-cli download. Point the GitHub code at the downloaded root with:

export BVFM_WEIGHTS_ROOT=/path/to/this/model/repository

See the branch-specific READMEs for exact file roles and checksums.

Third-party components

image/FlowTiTok_512.bin is the released FlowTiTok image tokenizer required by image encoding and decoding. speech/semantic_vae_1000k is the released Semantic-VAE decoder required to map the 64-D speech latent to waveform. See THIRD_PARTY_NOTICES.md and retain the corresponding upstream notices when redistributing these files.

Downloads last month: -; Downloads are not tracked for this model. How to track