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SpacemiT/Qwen3-TTS-0.6B

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Model Card

Qwen3-TTS-0.6B for SpaceMIT K1/K3

This repository contains a SpaceMIT-optimized split-runtime export of Qwen/Qwen3-TTS-12Hz-0.6B-Base. The text embedding and codec stages run with ONNX Runtime and the SpaceMIT Execution Provider, while the talker and code predictor run through the SpaceMIT llama.cpp/ggml backend.

The bundle generates 24 kHz mono PCM16 WAV audio and includes one default speaker embedding for evaluation.

Validation Status

—K3: validated with Chinese, English, and mixed Chinese-English requests.
—K1: the current configuration is identical to K3, but has not yet completed independent board acceptance.
—Functional runtime: SpaceMIT llama.cpp v0.1.7 (c9af964b5).
—Recommended performance runtime: a release containing commit 787e5fcf9 (spacemit-com/llama.cpp#29).

SpaceMIT llama.cpp v0.1.7 is functionally compatible but does not contain the persistent shared-threadpool optimization. In a controlled K3 A/B test, that optimization reduced median warm RTF from approximately 1.1113 to 0.9006 without changing the generated WAV bytes. Performance depends on text, speaker, board configuration, system load, and runtime revision.

Files

File	Purpose	Precision/format
`Qwen3-TTS-0.6B-talker-q8_0.gguf`	Autoregressive talker	GGUF Q8_0
`Qwen3-TTS-0.6B-code-predictor-q4_0.gguf`	Multi-codebook predictor	GGUF Q4_0
`Qwen3-TTS-0.6B-text-embed-proj.fp32.onnx`	Text embedding and projection	ONNX FP32
`Qwen3-TTS-0.6B-codec-decoder-t50.dynq.onnx`	Codec decoder, bucket 50	Dynamically quantized ONNX
`Qwen3-TTS-0.6B-tokenizer.gguf`	Tokenizer metadata	GGUF
`Qwen3-TTS-0.6B-aux.gguf`	Runtime auxiliary tensors	GGUF
`default.spk.bin`	Default speaker embedding	Raw float32 `[1024]`
`configs/K1/config.json`	K1 runtime configuration	JSON
`configs/K3/config.json`	K3 runtime configuration	JSON

The FP32 text embedding model is intentionally named with its precision. It is the largest file in the bundle and has a significant effect on resident memory and cold-start cost.

Runtime Requirements

—A SpaceMIT K1/K3 Linux image with ONNX Runtime and SpaceMIT EP installed.
—SpaceMIT llama.cpp v0.1.7 or newer.
—A future release containing commit 787e5fcf9 is recommended for the validated shared-threadpool performance path.

The llama.cpp release archive contains llama/ggml/mtmd binaries and libraries. It does not bundle ONNX Runtime or SpaceMIT EP.

Run on K3

Download and extract the runtime:

bash

wget https://github.com/spacemit-com/llama.cpp/releases/download/v0.1.7/spacemit-llama.cpp.riscv64.0.1.7.tar.gz
tar -xzf spacemit-llama.cpp.riscv64.0.1.7.tar.gz

Start the OpenAI-compatible speech service:

bash

export LLAMA_ROOT=$PWD/spacemit-llama.cpp.riscv64.0.1.7
export MODEL_ROOT=$PWD/Qwen3-TTS-0.6B
export LD_LIBRARY_PATH=$LLAMA_ROOT/lib:${LD_LIBRARY_PATH:-}

$LLAMA_ROOT/bin/llama-server \
  --media-backend smt \
  --smt-config-dir $MODEL_ROOT/configs/K3 \
  --host 127.0.0.1 \
  --port 8090 \
  --no-ui

Generate speech:

bash

curl http://127.0.0.1:8090/v1/audio/speech \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "qwen3-tts",
    "input": "你好，这是 Qwen3-TTS 在 K3 上的语音合成测试。",
    "voice": "default",
    "response_format": "wav"
  }' \
  -o qwen3_tts.wav

To use the K1 configuration, replace configs/K3 with configs/K1 after validating the target board image and runtime packages.

Speaker Selection

The default speaker is loaded from default.spk.bin. A compatible raw float32 [1024] speaker embedding can be selected at server startup:

bash

$LLAMA_ROOT/bin/llama-server \
  --media-backend smt \
  --smt-config-dir $MODEL_ROOT/configs/K3 \
  --tts-speaker-file /path/to/custom.spk.bin \
  --host 127.0.0.1 \
  --port 8090 \
  --no-ui

The bundled default embedding was derived from a generic female reference approved by the project owner for redistribution. Obtain consent before creating or distributing embeddings derived from another person's voice.

Limitations

—The validated output format is 24 kHz mono PCM16 WAV.
—Runtime performance is not determined by model files alone; use the recommended llama.cpp revision for the optimized path.
—The current text embedding model is FP32 rather than quantized.
—K1 uses the same initial configuration as K3 but still requires independent acceptance testing.

Revisions

—Export source revision: 58a4795010ba25b34966a56d07499d496ff9cd6f
—Initial llama.cpp Qwen3-TTS runtime revision: 6ad6d85f1bc0967ece71506074f1f7e1c372e167
—Shared-threadpool optimization revision: 787e5fcf956164d87e5bd0e2dc9d9f5d776a20ab

License and Attribution

This repository is distributed under the Apache License 2.0. See LICENSE. The base model is provided by the Qwen team; review the upstream model card for its complete usage guidance, limitations, and citation information.