Instructions to use Prompt-Pirate/comfytts-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Prompt-Pirate/comfytts-models with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Prompt-Pirate/comfytts-models:Q8_0 # Run inference directly in the terminal: llama cli -hf Prompt-Pirate/comfytts-models:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Prompt-Pirate/comfytts-models:Q8_0 # Run inference directly in the terminal: llama cli -hf Prompt-Pirate/comfytts-models:Q8_0
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Prompt-Pirate/comfytts-models:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf Prompt-Pirate/comfytts-models:Q8_0
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Prompt-Pirate/comfytts-models:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Prompt-Pirate/comfytts-models:Q8_0
Use Docker
docker model run hf.co/Prompt-Pirate/comfytts-models:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use Prompt-Pirate/comfytts-models with Ollama:
ollama run hf.co/Prompt-Pirate/comfytts-models:Q8_0
- Unsloth Desktop
- Pi
How to use Prompt-Pirate/comfytts-models with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Prompt-Pirate/comfytts-models:Q8_0
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Prompt-Pirate/comfytts-models:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Prompt-Pirate/comfytts-models with Docker Model Runner:
docker model run hf.co/Prompt-Pirate/comfytts-models:Q8_0
- Lemonade
How to use Prompt-Pirate/comfytts-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Prompt-Pirate/comfytts-models:Q8_0
Run and chat with the model
lemonade run user.comfytts-models-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use Prompt-Pirate/comfytts-models with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Prompt-Pirate/comfytts-models:Q8_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Prompt-Pirate/comfytts-models:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Prompt-Pirate/comfytts-models with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Prompt-Pirate/comfytts-models:Q8_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "Prompt-Pirate/comfytts-models:Q8_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Upload folder using huggingface_hub
Browse files- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/.gitattributes +35 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/README.md +103 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/config.json +167 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/generation_config.json +12 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/merges.txt +0 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/model.safetensors +3 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/preprocessor_config.json +6 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/speech_tokenizer/config.json +94 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/speech_tokenizer/configuration.json +1 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/speech_tokenizer/model.safetensors +3 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/speech_tokenizer/preprocessor_config.json +10 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/tokenizer_config.json +316 -0
- engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/vocab.json +0 -0
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/.gitattributes
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engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/README.md
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| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
pipeline_tag: text-to-speech
|
| 4 |
+
language:
|
| 5 |
+
- zh
|
| 6 |
+
- en
|
| 7 |
+
- ja
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| 8 |
+
- ko
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| 9 |
+
- de
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- fr
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| 11 |
+
- ru
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| 12 |
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- pt
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| 13 |
+
- es
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| 14 |
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- it
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| 15 |
+
tags:
|
| 16 |
+
- audio
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| 17 |
+
- tts
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| 18 |
+
- voice-clone
|
| 19 |
+
---
|
| 20 |
+
|
| 21 |
+
# Qwen3-TTS-12Hz-0.6B-Base
|
| 22 |
+
|
| 23 |
+
[**Qwen3-TTS Technical Report**](https://huggingface.co/papers/2601.15621) | [**GitHub Repository**](https://github.com/QwenLM/Qwen3-TTS) | [**Hugging Face Demo**](https://huggingface.co/spaces/Qwen/Qwen3-TTS)
|
| 24 |
+
|
| 25 |
+
Qwen3-TTS is a family of advanced multilingual, controllable, robust, and streaming text-to-speech models. Trained on over 5 million hours of speech data spanning 10 languages, Qwen3-TTS supports state-of-the-art 3-second voice cloning and description-based control.
|
| 26 |
+
|
| 27 |
+
This specific checkpoint is the **0.6B Base model**, which is capable of rapid voice cloning from a user-provided audio input.
|
| 28 |
+
|
| 29 |
+
## Quickstart
|
| 30 |
+
|
| 31 |
+
### Installation
|
| 32 |
+
|
| 33 |
+
```bash
|
| 34 |
+
pip install -U qwen-tts
|
| 35 |
+
# Optional: for optimized performance
|
| 36 |
+
pip install -U flash-attn --no-build-isolation
|
| 37 |
+
```
|
| 38 |
+
|
| 39 |
+
### Sample Usage (Voice Clone)
|
| 40 |
+
|
| 41 |
+
To clone a voice and synthesize new content using the Base model, you can use the following code snippet:
|
| 42 |
+
|
| 43 |
+
```python
|
| 44 |
+
import torch
|
| 45 |
+
import soundfile as sf
|
| 46 |
+
from qwen_tts import Qwen3TTSModel
|
| 47 |
+
|
| 48 |
+
# Load the model
|
| 49 |
+
model = Qwen3TTSModel.from_pretrained(
|
| 50 |
+
"Qwen/Qwen3-TTS-12Hz-0.6B-Base",
|
| 51 |
+
device_map="cuda:0",
|
| 52 |
+
dtype=torch.bfloat16,
|
| 53 |
+
attn_implementation="flash_attention_2",
|
| 54 |
+
)
|
| 55 |
+
|
| 56 |
+
# Reference audio for cloning
|
| 57 |
+
ref_audio = "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/clone.wav"
|
| 58 |
+
ref_text = "Okay. Yeah. I resent you. I love you. I respect you. But you know what? You blew it! And thanks to you."
|
| 59 |
+
|
| 60 |
+
# Generate speech
|
| 61 |
+
wavs, sr = model.generate_voice_clone(
|
| 62 |
+
text="I am solving the equation: x = [-b ± √(b²-4ac)] / 2a? Nobody can — it's a disaster (◍•͈⌔•͈◍), very sad!",
|
| 63 |
+
language="English",
|
| 64 |
+
ref_audio=ref_audio,
|
| 65 |
+
ref_text=ref_text,
|
| 66 |
+
)
|
| 67 |
+
|
| 68 |
+
# Save the resulting audio
|
| 69 |
+
sf.write("output_voice_clone.wav", wavs[0], sr)
|
| 70 |
+
```
|
| 71 |
+
|
| 72 |
+
## Overview
|
| 73 |
+
### Introduction
|
| 74 |
+
|
| 75 |
+
<p align="center">
|
| 76 |
+
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/qwen3_tts_introduction.png" width="90%"/>
|
| 77 |
+
<p>
|
| 78 |
+
|
| 79 |
+
Qwen3-TTS covers 10 major languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, and Italian) as well as multiple dialectal voice profiles to meet global application needs. Key features:
|
| 80 |
+
|
| 81 |
+
* **Powerful Speech Representation**: Powered by the self-developed Qwen3-TTS-Tokenizer-12Hz, it achieves efficient acoustic compression and high-dimensional semantic modeling.
|
| 82 |
+
* **Universal End-to-End Architecture**: Utilizing a discrete multi-codebook LM architecture, it realizes full-information end-to-end speech modeling.
|
| 83 |
+
* **Extreme Low-Latency Streaming Generation**: End-to-end synthesis latency as low as 97ms, meeting the rigorous demands of real-time interactive scenarios.
|
| 84 |
+
* **Intelligent Text Understanding and Voice Control**: Supports speech generation driven by natural language instructions, allowing for flexible control over multi-dimensional acoustic attributes.
|
| 85 |
+
|
| 86 |
+
### Model Architecture
|
| 87 |
+
|
| 88 |
+
<p align="center">
|
| 89 |
+
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/overview.png" width="80%"/>
|
| 90 |
+
<p>
|
| 91 |
+
|
| 92 |
+
## Citation
|
| 93 |
+
|
| 94 |
+
If you find this work useful, please consider citing the technical report:
|
| 95 |
+
|
| 96 |
+
```BibTeX
|
| 97 |
+
@article{Qwen3-TTS,
|
| 98 |
+
title={Qwen3-TTS Technical Report},
|
| 99 |
+
author={Hangrui Hu and Xinfa Zhu and Ting He and Dake Guo and Bin Zhang and Xiong Wang and Zhifang Guo and Ziyue Jiang and Hongkun Hao and Zishan Guo and Xinyu Zhang and Pei Zhang and Baosong Yang and Jin Xu and Jingren Zhou and Junyang Lin},
|
| 100 |
+
journal={arXiv preprint arXiv:2601.15621},
|
| 101 |
+
year={2026}
|
| 102 |
+
}
|
| 103 |
+
```
|
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/config.json
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|
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/generation_config.json
ADDED
|
@@ -0,0 +1,12 @@
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|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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|
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/merges.txt
ADDED
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The diff for this file is too large to render.
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|
|
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1829344272
|
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/preprocessor_config.json
ADDED
|
@@ -0,0 +1,6 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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}
|
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/speech_tokenizer/config.json
ADDED
|
@@ -0,0 +1,94 @@
|
|
|
|
|
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|
| 1 |
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{
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
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|
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|
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|
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|
| 12 |
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|
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|
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|
| 16 |
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|
| 17 |
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|
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|
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|
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|
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|
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|
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|
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
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|
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|
| 35 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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| 43 |
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|
| 44 |
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|
| 46 |
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|
| 47 |
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|
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
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| 59 |
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|
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|
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|
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|
| 64 |
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| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
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|
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|
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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5,
|
| 85 |
+
4
|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/speech_tokenizer/configuration.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"framework": "pytorch", "task": "feature-extraction", "allow_remote": true}
|
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/speech_tokenizer/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:836b7b357f5ea43e889936a3709af68dfe3751881acefe4ecf0dbd30ba571258
|
| 3 |
+
size 682293092
|
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/speech_tokenizer/preprocessor_config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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"sampling_rate": 24000
|
| 10 |
+
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|
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/tokenizer_config.json
ADDED
|
@@ -0,0 +1,316 @@
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
},
|
| 213 |
+
"151669": {
|
| 214 |
+
"content": "<|audio_start|>",
|
| 215 |
+
"lstrip": false,
|
| 216 |
+
"normalized": false,
|
| 217 |
+
"rstrip": false,
|
| 218 |
+
"single_word": false,
|
| 219 |
+
"special": true
|
| 220 |
+
},
|
| 221 |
+
"151670": {
|
| 222 |
+
"content": "<|audio_end|>",
|
| 223 |
+
"lstrip": false,
|
| 224 |
+
"normalized": false,
|
| 225 |
+
"rstrip": false,
|
| 226 |
+
"single_word": false,
|
| 227 |
+
"special": true
|
| 228 |
+
},
|
| 229 |
+
"151671": {
|
| 230 |
+
"content": "<tts_pad>",
|
| 231 |
+
"lstrip": false,
|
| 232 |
+
"normalized": false,
|
| 233 |
+
"rstrip": false,
|
| 234 |
+
"single_word": false,
|
| 235 |
+
"special": true
|
| 236 |
+
},
|
| 237 |
+
"151672": {
|
| 238 |
+
"content": "<tts_text_bos>",
|
| 239 |
+
"lstrip": false,
|
| 240 |
+
"normalized": false,
|
| 241 |
+
"rstrip": false,
|
| 242 |
+
"single_word": false,
|
| 243 |
+
"special": true
|
| 244 |
+
},
|
| 245 |
+
"151673": {
|
| 246 |
+
"content": "<tts_text_eod>",
|
| 247 |
+
"lstrip": false,
|
| 248 |
+
"normalized": false,
|
| 249 |
+
"rstrip": false,
|
| 250 |
+
"single_word": false,
|
| 251 |
+
"special": true
|
| 252 |
+
},
|
| 253 |
+
"151674": {
|
| 254 |
+
"content": "<tts_text_bos_single>",
|
| 255 |
+
"lstrip": false,
|
| 256 |
+
"normalized": false,
|
| 257 |
+
"rstrip": false,
|
| 258 |
+
"single_word": false,
|
| 259 |
+
"special": true
|
| 260 |
+
},
|
| 261 |
+
"151675": {
|
| 262 |
+
"content": "<|audio_pad|>",
|
| 263 |
+
"lstrip": false,
|
| 264 |
+
"normalized": false,
|
| 265 |
+
"rstrip": false,
|
| 266 |
+
"single_word": false,
|
| 267 |
+
"special": true
|
| 268 |
+
}
|
| 269 |
+
},
|
| 270 |
+
"additional_special_tokens": [
|
| 271 |
+
"<|im_start|>",
|
| 272 |
+
"<|im_end|>",
|
| 273 |
+
"<|object_ref_start|>",
|
| 274 |
+
"<|object_ref_end|>",
|
| 275 |
+
"<|box_start|>",
|
| 276 |
+
"<|box_end|>",
|
| 277 |
+
"<|quad_start|>",
|
| 278 |
+
"<|quad_end|>",
|
| 279 |
+
"<|vision_start|>",
|
| 280 |
+
"<|vision_end|>",
|
| 281 |
+
"<|vision_pad|>",
|
| 282 |
+
"<|image_pad|>",
|
| 283 |
+
"<|video_pad|>",
|
| 284 |
+
"<|audio_start|>",
|
| 285 |
+
"<|audio_end|>",
|
| 286 |
+
"<tts_pad>",
|
| 287 |
+
"<tts_text_bos>",
|
| 288 |
+
"<tts_text_bos_single>",
|
| 289 |
+
"<|audio_pad|>"
|
| 290 |
+
],
|
| 291 |
+
"extra_special_tokens": {
|
| 292 |
+
"image_token": "<|image_pad|>",
|
| 293 |
+
"audio_token": "<|audio_pad|>",
|
| 294 |
+
"video_token": "<|video_pad|>",
|
| 295 |
+
"vision_bos_token": "<|vision_start|>",
|
| 296 |
+
"vision_eos_token": "<|vision_end|>",
|
| 297 |
+
"audio_bos_token": "<|audio_start|>",
|
| 298 |
+
"audio_eos_token": "<|audio_end|>"
|
| 299 |
+
},
|
| 300 |
+
"bos_token": null,
|
| 301 |
+
"clean_up_tokenization_spaces": false,
|
| 302 |
+
"eos_token": "<|im_end|>",
|
| 303 |
+
"errors": "replace",
|
| 304 |
+
"model_max_length": 131072,
|
| 305 |
+
"pad_token": "<|endoftext|>",
|
| 306 |
+
"split_special_tokens": false,
|
| 307 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 308 |
+
"unk_token": null,
|
| 309 |
+
"image_token": "<|image_pad|>",
|
| 310 |
+
"audio_token": "<|audio_pad|>",
|
| 311 |
+
"video_token": "<|video_pad|>",
|
| 312 |
+
"vision_bos_token": "<|vision_start|>",
|
| 313 |
+
"vision_eos_token": "<|vision_end|>",
|
| 314 |
+
"audio_bos_token": "<|audio_start|>",
|
| 315 |
+
"audio_eos_token": "<|audio_end|>"
|
| 316 |
+
}
|
engines/qwen3/Qwen3-TTS-12Hz-0.6B-Base/vocab.json
ADDED
|
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|
|