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Open-weight model · Text to speech

qwen3-tts-base-onnx

by Nile Academy nile-academy/qwen3-tts-base-onnx

qwen3-tts-base-onnx is an open-weight model for text to speech from Nile Academy, released under Apache License 2.0. Its published files total 8.2 GB.

First-party Nile Academy conversion of the official Qwen checkpoint at fd4b254389122332181a7c3db7f27e918eec64e3. This is a derivative ONNX artifact, not an ONNX release published by Qwen. It contains data only; Python is not required by BookAlive.

Parameters—
Context—
Weights1.3 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Nile Academy, published under apache-2.0, revision d122f07d349f.

First-party Nile Academy conversion of the official Qwen checkpoint at fd4b254389122332181a7c3db7f27e918eec64e3. This is a derivative ONNX artifact, not an ONNX release published by Qwen. It contains data only; Python is not required by BookAlive. The fp32 pack includes a speaker encoder, talker with an explicit KV cache, a complete code-predictor frame, speech decoder, embedding tables, tokenizer and publisher licence. BookAlive reuses its Qwen VoiceDesign generation implementation for the Base talker, predictor and decoder. The source implementation is pinned at 022e286b98fbec7e1e916cb940cdf532cd9f488e. The current adapter uses x-vector-only reference cloning. It supports ten languages…

Read Nile Academy's full model card

Qwen3-TTS Base 1.7B: BookAlive native ONNX conversion

First-party Nile Academy conversion of the official Qwen checkpoint at fd4b254389122332181a7c3db7f27e918eec64e3. This is a derivative ONNX artifact, not an ONNX release published by Qwen. It contains data only; Python is not required by BookAlive.

The fp32 pack includes a speaker encoder, talker with an explicit KV cache, a complete code-predictor frame, speech decoder, embedding tables, tokenizer and publisher licence. BookAlive reuses its Qwen VoiceDesign generation implementation for the Base talker, predictor and decoder. The source implementation is pinned at 022e286b98fbec7e1e916cb940cdf532cd9f488e.

The current adapter uses x-vector-only reference cloning. It supports ten languages and sampling temperature; transcript/codec in-context prompting and arbitrary style instructions are not enabled. X-vector cloning follows timbre more strongly than reference rhythm. Use a clear, authorized reference and listen to a short preview before committing to a chapter. No automatic or guaranteed breathing control is claimed.

build_metadata.json records parent file hashes, conversion source hashes, validated graph hashes and numerical qualification. The chained greedy check requires 48 identical codec frames. Speaker/logit relative error must remain below 0.001 and decoder waveform absolute error below 0.0001. These deterministic checks are separate from perceived naturalness.

Workstation development build; unsigned manifest; no human listening review or commercial release qualification. CPU is the qualified numerical backend for this build. No RTX 4070 performance claim is made. Use reference recordings only with the speaker's permission.

Official implementation: https://github.com/QwenLM/Qwen3-TTS

Identity and Version

Repository
nile-academy/qwen3-tts-base-onnx
Publisher
Nile Academy
Task
Text to speech
Modality
Audio
Library
Not stated by the source
Parameters
Not stated by the source
Languages
en, zh, ja, ko, de, fr, ru, pt
Revision
d122f07d349f569a73d6e72d9cd43bac5f6f5ddb
First published
2026-10-04
Last updated
2026-10-04

Files and Weights

16 files, 8.2 GB in total. The weights are 5 files totalling 1.3 GB in onnx, safetensors.

Weights5 files · 1.3 GB
Configuration3 files · 13.6 KB
Tokenizer1 file · 11.4 MB
Documentation2 files · 13.3 KB
Other4 files · 6.9 GB
Repository1 file · 1.8 KB
Every file
FileTypeSizeSHA-256
code_predictor_frame.onnxWeights669.5 KB 757a98e8aded
speaker_encoder.onnxWeights50.0 KB 5175911faafc
speech_decoder.onnxWeights127.8 KB 04dfdfa5168a
tables.safetensorsWeights1.3 GB 93763ffb8fdd
talker.onnxWeights301.7 KB b54750f2e638
build_metadata.jsonConfiguration10.8 KB —
manifest.jsonConfiguration2.4 KB —
native_qualification.jsonConfiguration473 B —
LICENSEDocumentation11.3 KB —
README.mdDocumentation2.0 KB —
code_predictor_frame.onnx.dataOther725.7 MB 9be71ee8770d
speaker_encoder.onnx.dataOther56.8 MB f6ba51458ce4
speech_decoder.onnx.dataOther456.1 MB a08991fcb459
talker.onnx.dataOther5.7 GB 6799f83f7e3e
.gitattributesRepository1.8 KB —
tokenizer.jsonTokenizer11.4 MB 21cbba93fc2b

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
1.3 GB
Download from Nile Academy

Released by Nile Academy through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published1.3 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About qwen3-tts-base-onnx

Can I use qwen3-tts-base-onnx commercially?

Yes. qwen3-tts-base-onnx is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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