Text-to-Speech
Safetensors
fish_qwen3_omni
instruction-following
multilingual
nielsr HF Staff commited on
Commit
a1a729b
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1 Parent(s): 3f07fe8

Add link to technical report and GitHub, fix citation, and refine metadata

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Hi! I'm Niels from the Hugging Face community team.

This PR improves your model card by:
- Adding links to the [Fish Audio S2 Technical Report](https://huggingface.co/papers/2603.08823) and the official [GitHub repository](https://github.com/fishaudio/fish-speech) at the top for better visibility.
- Adding tags such as `multilingual` and `instruction-following` to help users find the model.
- Fixing the BibTeX citation at the bottom of the card which was missing a closing brace.

These changes help researchers and developers better navigate your work!

Files changed (1) hide show
  1. README.md +15 -12
README.md CHANGED
@@ -1,9 +1,4 @@
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  ---
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- tags:
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- - text-to-speech
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- license: other
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- license_name: fish-audio-research-license
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- license_link: LICENSE.md
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  language:
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  - zh
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  - en
@@ -18,7 +13,7 @@ language:
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  - sv
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  - it
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  - tr
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- - "no"
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  - nl
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  - cy
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  - eu
@@ -88,22 +83,29 @@ language:
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  - as
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  - gu
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  - fo
 
 
 
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  pipeline_tag: text-to-speech
 
 
 
 
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  inference: false
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- extra_gated_prompt: >-
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- You agree to not use the model to generate contents that violate DMCA or local
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- laws.
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  extra_gated_fields:
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  Country: country
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  Specific date: date_picker
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  I agree to use this model for non-commercial use ONLY: checkbox
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  ---
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-
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  # Fish Audio S2 Pro
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  <img src="overview.png" alt="Fish Audio S2 Pro overview — fine-grained control, multi-speaker multi-turn generation, low-latency streaming, and long-context inference." width="100%">
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  **Fish Audio S2 Pro** is a leading text-to-speech (TTS) model with fine-grained inline control of prosody and emotion. Trained on over 10M+ hours of audio data across 80+ languages, the system combines reinforcement learning alignment with a dual-autoregressive architecture. The release includes model weights, fine-tuning code, and an SGLang-based streaming inference engine.
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  ## Architecture
@@ -131,7 +133,7 @@ S2 Pro supports 80+ languages.
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  **Tier 2:** Korean (ko), Spanish (es), Portuguese (pt), Arabic (ar), Russian (ru), French (fr), German (de)
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- **Other supported languages:** sv, it, tr, no, nl, cy, eu, ca, da, gl, ta, hu, fi, pl, et, hi, la, ur, th, vi, jw, bn, yo, sl, cs, sw, nn, he, ms, uk, id, kk, bg, lv, my, tl, sk, ne, fa, af, el, bo, hr, ro, sn, mi, yi, am, be, km, is, az, sd, br, sq, ps, mn, ht, ml, sr, sa, te, ka, bs, pa, lt, kn, si, hy, mr, as, gu, fo, and more.
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  ## Production Streaming Performance
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@@ -160,8 +162,9 @@ If you find our work useful, please consider citing our report:
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  archivePrefix={arXiv},
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  primaryClass={cs.SD},
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  url={https://arxiv.org/abs/2603.08823},
 
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  ```
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  ## License
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- This model is licensed under the [Fish Audio Research License](LICENSE.md). Research and non-commercial use is permitted free of charge. Commercial use requires a separate license from Fish Audio — contact business@fish.audio.
 
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  ---
 
 
 
 
 
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  language:
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  - zh
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  - en
 
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  - sv
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  - it
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  - tr
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+ - 'no'
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  - nl
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  - cy
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  - eu
 
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  - as
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  - gu
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  - fo
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+ license: other
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+ license_name: fish-audio-research-license
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+ license_link: LICENSE.md
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  pipeline_tag: text-to-speech
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+ tags:
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+ - text-to-speech
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+ - instruction-following
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+ - multilingual
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  inference: false
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+ extra_gated_prompt: You agree to not use the model to generate contents that violate
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+ DMCA or local laws.
 
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  extra_gated_fields:
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  Country: country
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  Specific date: date_picker
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  I agree to use this model for non-commercial use ONLY: checkbox
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  ---
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  # Fish Audio S2 Pro
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  <img src="overview.png" alt="Fish Audio S2 Pro overview — fine-grained control, multi-speaker multi-turn generation, low-latency streaming, and long-context inference." width="100%">
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+ [**Technical Report**](https://huggingface.co/papers/2603.08823) | [**GitHub**](https://github.com/fishaudio/fish-speech) | [**Playground**](https://fish.audio)
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+
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  **Fish Audio S2 Pro** is a leading text-to-speech (TTS) model with fine-grained inline control of prosody and emotion. Trained on over 10M+ hours of audio data across 80+ languages, the system combines reinforcement learning alignment with a dual-autoregressive architecture. The release includes model weights, fine-tuning code, and an SGLang-based streaming inference engine.
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  ## Architecture
 
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  **Tier 2:** Korean (ko), Spanish (es), Portuguese (pt), Arabic (ar), Russian (ru), French (fr), German (de)
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+ **Other supported languages:** sv, it, tr, no, nl, cy, eu, ca, da, gl, ta, hu, fi, pl, et, hi, la, ur, th, vi, jw, bn, yo, xsl, cs, sw, nn, he, ms, uk, id, kk, bg, lv, my, tl, sk, ne, fa, af, el, bo, hr, ro, sn, mi, yi, am, be, km, is, az, sd, br, sq, ps, mn, ht, ml, sr, sa, te, ka, bs, pa, lt, kn, si, hy, mr, as, gu, fo, and more.
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  ## Production Streaming Performance
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  archivePrefix={arXiv},
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  primaryClass={cs.SD},
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  url={https://arxiv.org/abs/2603.08823},
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+ }
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  ```
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  ## License
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+ This model is licensed under the [Fish Audio Research License](LICENSE.md). Research and non-commercial use is permitted free of charge. Commercial use requires a separate license from Fish Audio — contact business@fish.audio.