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drbaph/FireRedTTS3-bf16

🤗 On Hugging Facetext-to-speechapache-2.013 GBsafetensors✓ HF checksums availableupdated today
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FireRedTTS3-bf16 (community mixed-precision mirror)

Half-size copy of FireRedTeam/FireRedTTS3 for

FireRedTTS3-ComfyUI.

Conversion policy - only the tensors the official inference code already computes under bf16 autocast

are stored in bf16; everything that officially runs in fp32 stays fp32:

| Component | bf16 | fp32 |

| --- | --- | --- |

| fireredtts3_base | Qwen3 backbone LLM | PatchEncoder, DiT flow head, stop head, speaker projections |

| fireredtts3_instruct | Qwen3 backbone LLM | PatchEncoder, DiT flow head, stop head |

| redae | audio encoder | decoder + ISTFT head |

| campp | - | everything |

Same-seed generation against the official fp32 weights produces identical waveforms

(cosine 1.0000, SNR > 80 dB) because the stored bf16 values round exactly like the

runtime autocast cast does. campp/, text_tokenizer/, and fasttext/lid.176.ftz are

copied through unchanged; only the dtype field in each config.json changed.

Usage Disclaimer

  • The project incorporates zero-shot voice cloning functionality; Please note that this capability is intended solely for academic research purposes.
  • DO NOT use this model for ANY illegal activities❗️❗️
  • The developers assume no liability for any misuse of this model.
  • If you identify any instances of abuse, misuse, or fraudulent activities related to this project, please report them to our team immediately.

Citation

@article{fireredtts3,
  title   = {FireRedTTS3: Unified Speech Generation and Editing with Semantically Enriched Speech Representations},
  author  = {FireRed Team},
  journal = {arXiv preprint},
  year    = {2026},
}

Acknowledgements

  • Qwen3 and Qwen2-Audio for the language model and audio understanding foundations
  • DiTAR for the patch-level diffusion autoregressive formulation
  • X-Codec for the discriminator design used in RedAE training
  • CAM++ for speaker embedding extraction
  • fastText for automatic language identification
  • WeTextProcessing (wetext) for the Chinese / English text normalization front-end

All credit to the FireRed Team - see the upstream repo and model card. Apache-2.0.