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kautism/qwen3-tts-rk3588
qwen3-tts-rk3588 is a machine learning model from kautism. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repo is qwen3-tts model split 3 part, You can use python to load them by hand.
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.gguf2.6 GB · 41%
From the Hugging Face model README
This repo is qwen3-tts model split 3 part, You can use python to load them by hand.
Or use my project Qwen3-tts to running on low cost sbc.
It can even running on 4G ram device.
speaker_encoder/spk_enc.gguf is the ECAPA-TDNN speaker encoder extracted from the
official Qwen/Qwen3-TTS-12Hz-0.6B-Base checkpoint (76 tensors, weights F16 +
biases F32, 17.7 MB). It lets encode-voice store a 1024-dim speaker_embedding
in the voice profile, which the talker uses in QWEN3_TTS_CLONE_MODE=speaker
(x-vector) mode:
qwen3-tts encode-voice --audio ref.wav --ref-text "reference text" -o voice.json
qwen3-tts serve --port 19986 # workers read the voice JSON via the `voice` field
encode-voice resolves this file automatically (env QWEN3_TTS_SPK_ENCODER_GGUF
overrides; otherwise <hf-model>/speaker_encoder/spk_enc.gguf, else this repo).