File size: 1,336 Bytes
3800c9d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | # 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.
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