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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

TypeOtherVersionRevision 19e3edcBClasse

Source du modèle

Type
Other
Taille du fichier
335 MB–7,19 GB
Version
vRevision 19e3edc
Mis à jour
25 sept. 2026
Téléchargements
34
Source
Hugging Face

Description de la source

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.

Sources

1 source
Hugging FacePrincipalVersion 19e3edce668ccc1c3443ac7ead126163809dc5ac
huggingface.co/librellama/qwen3-tts-GGUF/tree/19e3edce668ccc1c3443ac7ead126163809dc5ac

Vérifié 6 sept.

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Artefacts du modèle

20 artefacts

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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Extraits de sources

2 extraits

--- 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