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README.md
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README.md
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# fish-speech-1.5_a14145515045515264908091
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---
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tags:
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- text-to-speech
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license: cc-by-nc-sa-4.0
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language:
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- zh
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- en
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- de
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- ja
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- fr
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- es
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- ko
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- ar
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- nl
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- ru
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- it
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- pl
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- pt
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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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fish-speech-1.5
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# Fish Speech V1.5
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**Fish Speech V1.5** is a leading text-to-speech (TTS) model trained on more than 1 million hours of audio data in multiple languages.
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Supported languages:
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- English (en) >300k hours
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- Chinese (zh) >300k hours
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- Japanese (ja) >100k hours
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- German (de) ~20k hours
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- French (fr) ~20k hours
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- Spanish (es) ~20k hours
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- Korean (ko) ~20k hours
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- Arabic (ar) ~20k hours
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- Russian (ru) ~20k hours
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- Dutch (nl) <10k hours
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- Italian (it) <10k hours
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- Polish (pl) <10k hours
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- Portuguese (pt) <10k hours
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Please refer to [Fish Speech Github](https://github.com/fishaudio/fish-speech) for more info.
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Demo available at [Fish Audio](https://fish.audio/).
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## Citation
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If you found this repository useful, please consider citing this work:
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```
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@misc{fish-speech-v1.4,
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title={Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis},
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author={Shijia Liao and Yuxuan Wang and Tianyu Li and Yifan Cheng and Ruoyi Zhang and Rongzhi Zhou and Yijin Xing},
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year={2024},
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eprint={2411.01156},
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archivePrefix={arXiv},
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primaryClass={cs.SD},
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url={https://arxiv.org/abs/2411.01156},
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}
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```
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## License
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This model is permissively licensed under the BY-CC-NC-SA-4.0 license.
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{
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"attention_qkv_bias": false,
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"codebook_size": 1024,
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"dim": 1024,
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"dropout": 0.0,
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"fast_attention_qkv_bias": false,
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"fast_dim": 1024,
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"fast_head_dim": 64,
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"fast_intermediate_size": 4096,
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"fast_n_head": 16,
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"fast_n_local_heads": 2,
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"head_dim": 64,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"is_reward_model": false,
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"max_seq_len": 8192,
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"model_type": "dual_ar",
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"n_fast_layer": 4,
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"n_head": 16,
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"n_layer": 24,
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"n_local_heads": 2,
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"norm_eps": 1e-06,
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"num_codebooks": 8,
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"rope_base": 1000000.0,
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"tie_word_embeddings": false,
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"use_gradient_checkpointing": true,
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"vocab_size": 102048
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}
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{"framework": "pytorch", "task": "text-to-speech", "allow_remote": true}
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