Add files using upload-large-folder tool

.gitattributes

@@ -33,3 +33,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+prompts/control10_01.gguf filter=lfs diff=lfs merge=lfs -text
+prompts/control10_10.gguf filter=lfs diff=lfs merge=lfs -text
+prompts/control10_06.gguf filter=lfs diff=lfs merge=lfs -text
+prompts/control10_02.gguf filter=lfs diff=lfs merge=lfs -text
+prompts/control10_09.gguf filter=lfs diff=lfs merge=lfs -text
+prompts/control10_07.gguf filter=lfs diff=lfs merge=lfs -text
+models/student12_mlp_inner_q8_flow4_hift_f16.gguf filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,201 @@
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README.md

@@ -1,3 +1,155 @@
 ---
 license: apache-2.0
+base_model:
+  - FunAudioLLM/Fun-CosyVoice3-0.5B-2512
+pipeline_tag: text-to-speech
+language:
+  - zh
+  - en
+  - ja
+  - ko
+  - de
+  - es
+  - fr
+  - it
+  - ru
+tags:
+  - cosyvoice
+  - gguf
+  - streaming-tts
+  - text-to-speech
+  - cpp
+  - knowledge-distillation
 ---
+
+# cosyvoice3_stream.cpp
+
+Runtime assets for
+[cosyvoice3_yq_cpp](https://gitee.com/yang-qi1222/cosyvoice3_yq_cpp), an
+inference-only CosyVoice3 C++/GGML streaming runtime.
+
+This repository contains one project-compressed GGUF model, the two ONNX models
+needed to extract a voice prompt from reference audio, and ten small precomputed
+prompt features for immediate testing. Source code is distributed separately on
+Gitee.
+
+## Files
+
+| Path | Bytes | Purpose |
+| --- | ---: | --- |
+| `models/student12_mlp_inner_q8_flow4_hift_f16.gguf` | 1,637,038,400 | Student12 LLM + Flow4 + HiFT runtime model |
+| `frontend/speech_tokenizer_v3.onnx` | 969,451,503 | Speech-token extraction from reference audio |
+| `frontend/campplus.onnx` | 28,303,423 | Speaker embedding extraction |
+| `prompts/control10_01.gguf` ... `control10_10.gguf` | 51,296-188,576 each | Ready-to-use synthetic evaluation voices |
+
+Every binary is pinned in `SHA256SUMS`. The source repository also ships a
+machine-readable manifest used by its downloader.
+
+## Model Lineage
+
+The base model is
+[FunAudioLLM/Fun-CosyVoice3-0.5B-2512](https://huggingface.co/FunAudioLLM/Fun-CosyVoice3-0.5B-2512).
+The published GGUF applies the following project-specific deployment changes:
+
+- a 12-layer student speech LLM obtained through structured layer pruning and
+  distillation;
+- Flow inference distilled from 10 steps to 4 steps;
+- GGUF conversion with inner LLM MLP tensors quantized to Q8 and Flow/HiFT kept
+  in F16.
+
+The LLM compression workflow was informed by
+[SPADE](https://arxiv.org/abs/2509.20802), with additional material on the
+[SPADE project page](https://mm.kaist.ac.kr/projects/SPADE/). This is an
+independent CosyVoice3 engineering adaptation, not an official SPADE model or a
+claim that the paper's reported metrics transfer to this model.
+
+## Prompt Features
+
+`control10_01` through `control10_10` are features extracted from synthetic
+teacher-model outputs used in this project's five-male/five-female Control10
+evaluation. No source WAV files are distributed, and these prompts are not
+presented as the voice of any real person.
+
+Use a prompt directly for the lowest startup overhead. To clone a new authorized
+reference voice, use `speech_tokenizer_v3.onnx` and `campplus.onnx` with the
+audio-enabled runtime to create a new `prompt_speech.gguf`.
+
+## Download And Run
+
+```bash
+git clone https://gitee.com/yang-qi1222/cosyvoice3_yq_cpp.git
+cd cosyvoice3_yq_cpp
+python3 -m pip install -r requirements-tools.txt
+python3 scripts/download_assets.py \
+  --manifest manifests/assets.example.json \
+  --asset-root assets
+```
+
+Build and start the feature-only CPU server:
+
+```bash
+scripts/build_runtime.sh \
+  --mode feature \
+  --backend cpu \
+  --build-dir build/feature-cpu
+
+scripts/start_server.sh \
+  --build-dir build/feature-cpu \
+  --backend cpu \
+  --model assets/models/student12_mlp_inner_q8_flow4_hift_f16.gguf \
+  --prompt-speech assets/prompts/control10_01.gguf \
+  --voice control10_01 \
+  --port 8080
+```
+
+CUDA architecture, thread count, chunk size, and FlashAttention settings must be
+selected and validated for the deployment machine. See the source repository for
+the audio-input build and complete server examples.
+
+## Measured Baseline
+
+The accepted project baseline covers only an NVIDIA RTX 5880 Ada Generation GPU,
+one serial request at a time, 16 host threads, `chunk_tokens=75`, LLM
+FlashAttention disabled, and Flow FlashAttention enabled.
+
+| Metric | Project result |
+| --- | ---: |
+| Control10 median RTF | 0.104273 |
+| First speech token | about 9.1 ms |
+| Median first PCM | about 223.2 ms |
+| Natural EOS | 10/10 |
+| Resident soak | 100/100 |
+| Process RSS | about 1,181 MiB |
+| Device-level GPU memory used | about 2,461 MiB |
+
+These measurements must not be extrapolated to RTX 4060, Jetson AGX, other GPU
+architectures, concurrent service, or long-context synthesis.
+
+## Limitations
+
+- This repository distributes inference assets, not training checkpoints or
+  training code.
+- The reference-audio path also requires an ONNX Runtime C/C++ SDK at build time;
+  the two ONNX model files do not replace that dependency.
+- Voice cloning must only be performed with appropriate speaker consent and data
+  rights.
+- The project is community maintained and is not affiliated with or endorsed by
+  the official CosyVoice or SPADE teams.
+
+## License And Acknowledgements
+
+Model assets are distributed under Apache-2.0. The C++ source repository uses the
+MIT license; source and model licenses are separate.
+
+This work depends on and thanks:
+
+- [QwenAudio/CosyVoice](https://github.com/QwenAudio/CosyVoice) and the
+  [CosyVoice3 paper](https://arxiv.org/abs/2505.17589);
+- [Lourdle/cosyvoice.cpp](https://github.com/Lourdle/cosyvoice.cpp);
+- [SPADE](https://arxiv.org/abs/2509.20802);
+- [ggml](https://github.com/ggml-org/ggml),
+  [llama.cpp](https://github.com/ggml-org/llama.cpp), and
+  [ONNX Runtime](https://github.com/microsoft/onnxruntime).
+
+Please cite the original CosyVoice3 and SPADE papers when this model is used in
+research comparisons.

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