Instructions to use Mouserat/qwen3-tts-0.6b-base-gguf 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 Mouserat/qwen3-tts-0.6b-base-gguf 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 Mouserat/qwen3-tts-0.6b-base-gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf Mouserat/qwen3-tts-0.6b-base-gguf:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Mouserat/qwen3-tts-0.6b-base-gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf Mouserat/qwen3-tts-0.6b-base-gguf: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 Mouserat/qwen3-tts-0.6b-base-gguf:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf Mouserat/qwen3-tts-0.6b-base-gguf: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 Mouserat/qwen3-tts-0.6b-base-gguf:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Mouserat/qwen3-tts-0.6b-base-gguf:Q8_0
Use Docker
docker model run hf.co/Mouserat/qwen3-tts-0.6b-base-gguf:Q8_0
- LM Studio
- Jan
- Ollama
How to use Mouserat/qwen3-tts-0.6b-base-gguf with Ollama:
ollama run hf.co/Mouserat/qwen3-tts-0.6b-base-gguf:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use Mouserat/qwen3-tts-0.6b-base-gguf with Docker Model Runner:
docker model run hf.co/Mouserat/qwen3-tts-0.6b-base-gguf:Q8_0
- Lemonade
How to use Mouserat/qwen3-tts-0.6b-base-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Mouserat/qwen3-tts-0.6b-base-gguf:Q8_0
Run and chat with the model
lemonade run user.qwen3-tts-0.6b-base-gguf-Q8_0
List all available models
lemonade list
- Atomic Chat
Qwen3-TTS-12Hz-0.6B-Base GGUF (llama.cpp official conversion)
Converted using the official conversion/qwen3tts.py in
ggml-org/llama.cpp (mtmd Qwen3-TTS PR #26254),
from Qwen/Qwen3-TTS-12Hz-0.6B-Base.
Files
qwen-talker-0.6b-base-Q8_0.ggufโ backbone (talker), load withllama_model_load_from_fileqwen-tokenizer-12hz-f16.ggufโ tokenizer/codec (mmproj), load withmtmd_init_from_file
Usage
llama-tts -m qwen-talker-0.6b-base-Q8_0.gguf -mm qwen-tokenizer-12hz-f16.gguf -p "Hello world" --output out.wav
Other GGUF conversions of this model floating around (e.g. koboldcpp-oriented exports)
use non-standard metadata key names (qwen3-tts.* with hyphen, talker. subsections,
general.file_type stored as string) that are incompatible with the official
llama.cpp qwen3tts architecture loader. This repo uses the stock conversion script,
so the metadata matches what llama.cpp expects out of the box.
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