| # BVFM speech/text weights |
|
|
| ## Files |
|
|
| - `bvfm_speech_step299999_inference.pt` (947,317,708 bytes): deployment-only |
| checkpoint extracted from the selected step-299,999 training checkpoint. It |
| contains `inference_modules`, model config, normalization/tokenizer/speaker |
| metadata, and no optimizer, scaler, RNG, training-module duplicate, or EMA |
| training container. |
| - `merged_config.json`: effective checkpoint configuration and training |
| provenance. Runtime data/model locations can be overridden by the GitHub |
| entry points. |
| - `semantic_vae_1000k/`: released Semantic-VAE EMA decoder metadata and |
| weights used to decode the 40 Hz, 64-D speech latent. |
|
|
| ## SHA-256 |
|
|
| ```text |
| 6c4f1974e0e29ce7c4d755f1c49875eda5a8e4a03663d4289f0cd97e52df3429 bvfm_speech_step299999_inference.pt |
| 7c455aa8ab3f7d576b4834f8342558894aafaa61a371b84a9bfa4d10a100e516 semantic_vae_1000k/dac/ema_state_dict.pth |
| ``` |
|
|
| With the GitHub code: |
|
|
| ```bash |
| export BVFM_WEIGHTS_ROOT=/path/to/model-repo |
| python scripts/infer_tts_one.py \ |
| --ckpt-dir /path/to/model-repo/speech \ |
| --checkpoint bvfm_speech_step299999_inference.pt \ |
| --text "A short synthesis example." \ |
| --ref-wav /path/to/reference.wav \ |
| --out-dir runs/demo |
| ``` |
|
|
| The large resumable `latest.pt`, `final.pt`, and periodic step snapshots are |
| deliberately excluded from the Hugging Face package. |
|
|
