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Qwen3 Tts GGUF

No Tag : means that the model belongs to the base model family CustomVoice : means that the model belongs to the CustomVoice model family VoiceDesign : means that the model belongs to the VoiceDesign model family

TipoOtherVersãoRevision 19e3edcBnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
335 MB–7,19 GB
Versão
vRevision 19e3edc
Atualizado
25 de set. de 2026
Downloads
34
Fonte
Hugging Face

Descrição da fonte

These models will NOT work with most libraries or inference engines that accept GGUF models.

model tags :

Model families :

No Tag : means that the model belongs to the base model family CustomVoice : means that the model belongs to the CustomVoice model family VoiceDesign : means that the model belongs to the VoiceDesign model family

Model Parameters :

0.6b : means that the model has 0.6 billion parameters 1.7b : means that the model has 1.7 billion parameters

Model Quantization :

f16 : means that the model has no quantization applied to it ( full precision ) q8_0 : means that the model has been quantized to 8 bits.

NOTE : FP32 IS an option ( f32 ) but is not recommended , if you want the highest quality output possible f16 is literally just as good.

Fontes

1 fonte
Hugging FacePrimárioVersão 19e3edce668ccc1c3443ac7ead126163809dc5ac
huggingface.co/librellama/qwen3-tts-GGUF/tree/19e3edce668ccc1c3443ac7ead126163809dc5ac

Verificado 6 de set.

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Artefatos de modelo

20 artefatos

qwen3-tts-0.6b-customvoice-f16.gguf

gguf · 1,69 GB · SHA-256 b89d5e1c5acb…774d · Hugging Face

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qwen3-tts-0.6b-customvoice-f32.gguf

gguf · 3,38 GB · SHA-256 f2415c0847c0…7705 · Hugging Face

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qwen3-tts-0.6b-customvoice-q8_0.gguf

gguf · 1,23 GB · SHA-256 4900799491c8…e559 · Hugging Face

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qwen3-tts-0.6b-f16.gguf

gguf · 1,71 GB · SHA-256 813db44036ad…5fe2 · Hugging Face

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qwen3-tts-0.6b-f32.gguf

gguf · 3,41 GB · SHA-256 b31065844475…f2ae · Hugging Face

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qwen3-tts-0.6b-q8_0.gguf

gguf · 1,25 GB · SHA-256 da523a41f074…8405 · Hugging Face

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qwen3-tts-1.7b-customvoice-f16.gguf

gguf · 3,58 GB · SHA-256 0f7b3374ec47…f88e · Hugging Face

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qwen3-tts-1.7b-customvoice-f32.gguf

gguf · 7,15 GB · SHA-256 acdaad765336…766f · Hugging Face

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qwen3-tts-1.7b-customvoice-q8_0.gguf

gguf · 2,27 GB · SHA-256 d57b066c0abc…3c96 · Hugging Face

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qwen3-tts-1.7b-f16.gguf

gguf · 3,60 GB · SHA-256 032bfbb7d982…b0c5 · Hugging Face

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qwen3-tts-1.7b-f32.gguf

gguf · 7,19 GB · SHA-256 71f622a03cc7…8964 · Hugging Face

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qwen3-tts-1.7b-q8_0.gguf

gguf · 2,29 GB · SHA-256 64ad3baac085…7ddf · Hugging Face

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qwen3-tts-1.7b-voicedesign-f16.gguf

gguf · 3,58 GB · SHA-256 bfdd3eea89eb…7fcb · Hugging Face

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qwen3-tts-1.7b-voicedesign-f32.gguf

gguf · 7,15 GB · SHA-256 0dfcb17b9b1d…f4ea · Hugging Face

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qwen3-tts-1.7b-voicedesign-q8_0.gguf

gguf · 2,27 GB · SHA-256 7bedeb4d4e2a…55cc · Hugging Face

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qwen3-tts-tokenizer-f16-f16.gguf

gguf · 357 MB · SHA-256 37965961f12a…8e96 · Hugging Face

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qwen3-tts-tokenizer-f16-f32.gguf

gguf · 432 MB · SHA-256 251363c2b816…3a19 · Hugging Face

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qwen3-tts-tokenizer-f16-q8_0.gguf

gguf · 335 MB · SHA-256 06d3e4ecfeed…c55a · Hugging Face

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qwen3-tts-tokenizer-f32-f16.gguf

gguf · 575 MB · SHA-256 50e0e2f0db05…408e · Hugging Face

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qwen3-tts-tokenizer-f32-f32.gguf

gguf · 650 MB · SHA-256 673d935ff7fe…d58d · Hugging Face

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Trechos de fonte

2 trechos

--- license: apache-2.0 pipeline_tag: text-to-speech --- ## These models will **NOT** work with most libraries or inference engines that accept GGUF models. # **model tags :** # Model families : **No Tag :** means that the model belongs to the *base* model family **CustomVoice :** means that the model belongs to the *CustomVoice* model family **VoiceDesign :** means that the model belongs to the *VoiceDesign* model family # Model Parameters : **0.6b :** means that the model has 0.6 billion parameters **1.7b :** means that the model has 1.7 billion parameters # Model Quantization : **f16 :** means that the model has no quantization applied to it ( full precision ) **q8_0 :** means that the model has been quantized to 8 bits. ## NOTE : FP32 IS an option ( f32 ) but is not recommended , if you want the highest quality output possible f16 is literally just as good.

Source context: 34 downloads · 0 likes · Pipeline text-to-speech · Repo librellama/qwen3-tts-GGUF