Zetlyn
GitHubGet started

sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf

zetlyn/models-gguf quantisation gguf sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf hf Qwen/Qwen3-TTS-12Hz-1.7B-Base known 2026-09-24

https://huggingface.co/sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf

Properties

authorsknyazev
receipt
Source
GGUF quantisations
Its words
sknyazev
Read by
field:author
Said since
2026-09-28 11:46 UTC
Last answered
2026-10-06 12:41 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ab55d5e6038dcd1510e7bc1",
  "author": "sknyazev",
  "cardData": {
    "base_model": "Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "datasets": [
      "istupakov/russian_librispeech"
    ],
    "language": [
      "ru"
    ],
    "library_name": "voicy",
    "license": "apache-2.0",
    "pipeline_tag": "text-to-speech",
    "tags": [
      "text-to-speech",
      "voice-cloning",
      "russian",
      "stress",
      "gguf",
      "onnx",
      "llama.cpp",
      "onnxruntime",
      "qwen3-tts",
      "lora"
    ]
  },
  "createdAt": "2026-09-24T17:26:54.000Z",
  "downloads": 160,
  "gated": false,
  "id": "sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf",
  "lastModified": "2026-09-24T17:29:16.000Z",
  "library_name": "voicy",
  "likes": 0,
  "modelId": "sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf",
  "pipeline_tag": "text-to-speech",
  "private": false,
  "sha": "e644ae00257fdd4db0e51b11057370dff6be8bc2",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "embeddings/codec_embedding_0.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_1.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_10.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_11.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_12.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_13.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_14.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_15.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_2.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_3.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_4.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_5.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_6.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_7.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_8.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_9.npy"
    },
    {
      "rfilename": "embeddings/proj_bias.npy"
    },
    {
      "rfilename": "embeddings/proj_weight.npy"
    },
    {
      "rfilename": "embeddings/text_embedding_projected.npy"
    },
    {
      "rfilename": "lora/adapter.json"
    },
    {
      "rfilename": "lora/adapter.safetensors"
    },
    {
      "rfilename": "qwen3_tts_codec_encoder.fp32.onnx"
    },
    {
      "rfilename": "qwen3_tts_codec_encoder.fp32.onnx.data"
    },
    {
      "rfilename": "qwen3_tts_decoder.fp16.onnx"
    },
    {
      "rfilename": "qwen3_tts_predictor.q8_0.gguf"
    },
    {
      "rfilename": "qwen3_tts_speaker_encoder.fp32.onnx"
    },
    {
      "rfilename": "qwen3_tts_speaker_encoder.fp32.onnx.data"
    },
    {
      "rfilename": "qwen3_tts_talker.f16.gguf"
    },
    {
      "rfilename": "qwen3_tts_talker.q5_k.gguf"
    },
    {
      "rfilename": "qwen3_tts_talker.q8_0.gguf"
    },
    {
      "rfilename": "stress.json"
    },
    {
      "rfilename": "tokenizer.json"
    }
  ],
  "tags": [
    "voicy",
    "onnx",
    "gguf",
    "text-to-speech",
    "voice-cloning",
    "russian",
    "stress",
    "llama.cpp",
    "onnxruntime",
    "qwen3-tts",
    "lora",
    "ru",
    "dataset:istupakov/russian_librispeech",
    "base_model:Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "base_model:adapter:Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
baseQwen/Qwen3-TTS-12Hz-1.7B-Base
receipt
Source
GGUF quantisations
Its words
Qwen/Qwen3-TTS-12Hz-1.7B-Base
Read by
field:cardData.base_model[]
Said since
2026-09-28 11:46 UTC
Last answered
2026-10-06 12:41 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ab55d5e6038dcd1510e7bc1",
  "author": "sknyazev",
  "cardData": {
    "base_model": "Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "datasets": [
      "istupakov/russian_librispeech"
    ],
    "language": [
      "ru"
    ],
    "library_name": "voicy",
    "license": "apache-2.0",
    "pipeline_tag": "text-to-speech",
    "tags": [
      "text-to-speech",
      "voice-cloning",
      "russian",
      "stress",
      "gguf",
      "onnx",
      "llama.cpp",
      "onnxruntime",
      "qwen3-tts",
      "lora"
    ]
  },
  "createdAt": "2026-09-24T17:26:54.000Z",
  "downloads": 160,
  "gated": false,
  "id": "sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf",
  "lastModified": "2026-09-24T17:29:16.000Z",
  "library_name": "voicy",
  "likes": 0,
  "modelId": "sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf",
  "pipeline_tag": "text-to-speech",
  "private": false,
  "sha": "e644ae00257fdd4db0e51b11057370dff6be8bc2",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "embeddings/codec_embedding_0.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_1.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_10.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_11.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_12.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_13.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_14.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_15.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_2.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_3.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_4.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_5.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_6.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_7.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_8.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_9.npy"
    },
    {
      "rfilename": "embeddings/proj_bias.npy"
    },
    {
      "rfilename": "embeddings/proj_weight.npy"
    },
    {
      "rfilename": "embeddings/text_embedding_projected.npy"
    },
    {
      "rfilename": "lora/adapter.json"
    },
    {
      "rfilename": "lora/adapter.safetensors"
    },
    {
      "rfilename": "qwen3_tts_codec_encoder.fp32.onnx"
    },
    {
      "rfilename": "qwen3_tts_codec_encoder.fp32.onnx.data"
    },
    {
      "rfilename": "qwen3_tts_decoder.fp16.onnx"
    },
    {
      "rfilename": "qwen3_tts_predictor.q8_0.gguf"
    },
    {
      "rfilename": "qwen3_tts_speaker_encoder.fp32.onnx"
    },
    {
      "rfilename": "qwen3_tts_speaker_encoder.fp32.onnx.data"
    },
    {
      "rfilename": "qwen3_tts_talker.f16.gguf"
    },
    {
      "rfilename": "qwen3_tts_talker.q5_k.gguf"
    },
    {
      "rfilename": "qwen3_tts_talker.q8_0.gguf"
    },
    {
      "rfilename": "stress.json"
    },
    {
      "rfilename": "tokenizer.json"
    }
  ],
  "tags": [
    "voicy",
    "onnx",
    "gguf",
    "text-to-speech",
    "voice-cloning",
    "russian",
    "stress",
    "llama.cpp",
    "onnxruntime",
    "qwen3-tts",
    "lora",
    "ru",
    "dataset:istupakov/russian_librispeech",
    "base_model:Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "base_model:adapter:Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
downloads160
receipt
Source
GGUF quantisations
Its words
160
Read by
field:downloads
Said since
2026-09-28 11:46 UTC
Last answered
2026-10-06 12:41 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ab55d5e6038dcd1510e7bc1",
  "author": "sknyazev",
  "cardData": {
    "base_model": "Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "datasets": [
      "istupakov/russian_librispeech"
    ],
    "language": [
      "ru"
    ],
    "library_name": "voicy",
    "license": "apache-2.0",
    "pipeline_tag": "text-to-speech",
    "tags": [
      "text-to-speech",
      "voice-cloning",
      "russian",
      "stress",
      "gguf",
      "onnx",
      "llama.cpp",
      "onnxruntime",
      "qwen3-tts",
      "lora"
    ]
  },
  "createdAt": "2026-09-24T17:26:54.000Z",
  "downloads": 160,
  "gated": false,
  "id": "sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf",
  "lastModified": "2026-09-24T17:29:16.000Z",
  "library_name": "voicy",
  "likes": 0,
  "modelId": "sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf",
  "pipeline_tag": "text-to-speech",
  "private": false,
  "sha": "e644ae00257fdd4db0e51b11057370dff6be8bc2",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "embeddings/codec_embedding_0.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_1.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_10.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_11.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_12.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_13.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_14.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_15.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_2.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_3.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_4.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_5.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_6.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_7.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_8.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_9.npy"
    },
    {
      "rfilename": "embeddings/proj_bias.npy"
    },
    {
      "rfilename": "embeddings/proj_weight.npy"
    },
    {
      "rfilename": "embeddings/text_embedding_projected.npy"
    },
    {
      "rfilename": "lora/adapter.json"
    },
    {
      "rfilename": "lora/adapter.safetensors"
    },
    {
      "rfilename": "qwen3_tts_codec_encoder.fp32.onnx"
    },
    {
      "rfilename": "qwen3_tts_codec_encoder.fp32.onnx.data"
    },
    {
      "rfilename": "qwen3_tts_decoder.fp16.onnx"
    },
    {
      "rfilename": "qwen3_tts_predictor.q8_0.gguf"
    },
    {
      "rfilename": "qwen3_tts_speaker_encoder.fp32.onnx"
    },
    {
      "rfilename": "qwen3_tts_speaker_encoder.fp32.onnx.data"
    },
    {
      "rfilename": "qwen3_tts_talker.f16.gguf"
    },
    {
      "rfilename": "qwen3_tts_talker.q5_k.gguf"
    },
    {
      "rfilename": "qwen3_tts_talker.q8_0.gguf"
    },
    {
      "rfilename": "stress.json"
    },
    {
      "rfilename": "tokenizer.json"
    }
  ],
  "tags": [
    "voicy",
    "onnx",
    "gguf",
    "text-to-speech",
    "voice-cloning",
    "russian",
    "stress",
    "llama.cpp",
    "onnxruntime",
    "qwen3-tts",
    "lora",
    "ru",
    "dataset:istupakov/russian_librispeech",
    "base_model:Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "base_model:adapter:Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
licenceapache-2.0
receipt
Source
GGUF quantisations
Its words
apache-2.0
Read by
field:cardData.license
Said since
2026-09-28 11:46 UTC
Last answered
2026-10-06 12:41 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ab55d5e6038dcd1510e7bc1",
  "author": "sknyazev",
  "cardData": {
    "base_model": "Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "datasets": [
      "istupakov/russian_librispeech"
    ],
    "language": [
      "ru"
    ],
    "library_name": "voicy",
    "license": "apache-2.0",
    "pipeline_tag": "text-to-speech",
    "tags": [
      "text-to-speech",
      "voice-cloning",
      "russian",
      "stress",
      "gguf",
      "onnx",
      "llama.cpp",
      "onnxruntime",
      "qwen3-tts",
      "lora"
    ]
  },
  "createdAt": "2026-09-24T17:26:54.000Z",
  "downloads": 160,
  "gated": false,
  "id": "sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf",
  "lastModified": "2026-09-24T17:29:16.000Z",
  "library_name": "voicy",
  "likes": 0,
  "modelId": "sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf",
  "pipeline_tag": "text-to-speech",
  "private": false,
  "sha": "e644ae00257fdd4db0e51b11057370dff6be8bc2",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "embeddings/codec_embedding_0.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_1.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_10.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_11.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_12.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_13.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_14.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_15.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_2.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_3.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_4.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_5.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_6.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_7.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_8.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_9.npy"
    },
    {
      "rfilename": "embeddings/proj_bias.npy"
    },
    {
      "rfilename": "embeddings/proj_weight.npy"
    },
    {
      "rfilename": "embeddings/text_embedding_projected.npy"
    },
    {
      "rfilename": "lora/adapter.json"
    },
    {
      "rfilename": "lora/adapter.safetensors"
    },
    {
      "rfilename": "qwen3_tts_codec_encoder.fp32.onnx"
    },
    {
      "rfilename": "qwen3_tts_codec_encoder.fp32.onnx.data"
    },
    {
      "rfilename": "qwen3_tts_decoder.fp16.onnx"
    },
    {
      "rfilename": "qwen3_tts_predictor.q8_0.gguf"
    },
    {
      "rfilename": "qwen3_tts_speaker_encoder.fp32.onnx"
    },
    {
      "rfilename": "qwen3_tts_speaker_encoder.fp32.onnx.data"
    },
    {
      "rfilename": "qwen3_tts_talker.f16.gguf"
    },
    {
      "rfilename": "qwen3_tts_talker.q5_k.gguf"
    },
    {
      "rfilename": "qwen3_tts_talker.q8_0.gguf"
    },
    {
      "rfilename": "stress.json"
    },
    {
      "rfilename": "tokenizer.json"
    }
  ],
  "tags": [
    "voicy",
    "onnx",
    "gguf",
    "text-to-speech",
    "voice-cloning",
    "russian",
    "stress",
    "llama.cpp",
    "onnxruntime",
    "qwen3-tts",
    "lora",
    "ru",
    "dataset:istupakov/russian_librispeech",
    "base_model:Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "base_model:adapter:Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
likes0
receipt
Source
GGUF quantisations
Its words
0
Read by
field:likes
Said since
2026-09-28 11:46 UTC
Last answered
2026-10-06 12:41 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ab55d5e6038dcd1510e7bc1",
  "author": "sknyazev",
  "cardData": {
    "base_model": "Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "datasets": [
      "istupakov/russian_librispeech"
    ],
    "language": [
      "ru"
    ],
    "library_name": "voicy",
    "license": "apache-2.0",
    "pipeline_tag": "text-to-speech",
    "tags": [
      "text-to-speech",
      "voice-cloning",
      "russian",
      "stress",
      "gguf",
      "onnx",
      "llama.cpp",
      "onnxruntime",
      "qwen3-tts",
      "lora"
    ]
  },
  "createdAt": "2026-09-24T17:26:54.000Z",
  "downloads": 160,
  "gated": false,
  "id": "sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf",
  "lastModified": "2026-09-24T17:29:16.000Z",
  "library_name": "voicy",
  "likes": 0,
  "modelId": "sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf",
  "pipeline_tag": "text-to-speech",
  "private": false,
  "sha": "e644ae00257fdd4db0e51b11057370dff6be8bc2",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "embeddings/codec_embedding_0.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_1.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_10.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_11.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_12.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_13.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_14.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_15.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_2.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_3.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_4.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_5.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_6.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_7.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_8.npy"
    },
    {
      "rfilename": "embeddings/codec_embedding_9.npy"
    },
    {
      "rfilename": "embeddings/proj_bias.npy"
    },
    {
      "rfilename": "embeddings/proj_weight.npy"
    },
    {
      "rfilename": "embeddings/text_embedding_projected.npy"
    },
    {
      "rfilename": "lora/adapter.json"
    },
    {
      "rfilename": "lora/adapter.safetensors"
    },
    {
      "rfilename": "qwen3_tts_codec_encoder.fp32.onnx"
    },
    {
      "rfilename": "qwen3_tts_codec_encoder.fp32.onnx.data"
    },
    {
      "rfilename": "qwen3_tts_decoder.fp16.onnx"
    },
    {
      "rfilename": "qwen3_tts_predictor.q8_0.gguf"
    },
    {
      "rfilename": "qwen3_tts_speaker_encoder.fp32.onnx"
    },
    {
      "rfilename": "qwen3_tts_speaker_encoder.fp32.onnx.data"
    },
    {
      "rfilename": "qwen3_tts_talker.f16.gguf"
    },
    {
      "rfilename": "qwen3_tts_talker.q5_k.gguf"
    },
    {
      "rfilename": "qwen3_tts_talker.q8_0.gguf"
    },
    {
      "rfilename": "stress.json"
    },
    {
      "rfilename": "tokenizer.json"
    }
  ],
  "tags": [
    "voicy",
    "onnx",
    "gguf",
    "text-to-speech",
    "voice-cloning",
    "russian",
    "stress",
    "llama.cpp",
    "onnxruntime",
    "qwen3-tts",
    "lora",
    "ru",
    "dataset:istupakov/russian_librispeech",
    "base_model:Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "base_model:adapter:Qwen/Qwen3-TTS-12Hz-1.7B-Base",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}

Text

This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/sknyazev/qwen3-tts-12hz-1.7b-ru-stress-gguf.