Instructions to use Animhaven/qwen3-tts-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 Animhaven/qwen3-tts-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 Animhaven/qwen3-tts-models:Q8_0 # Run inference directly in the terminal: llama cli -hf Animhaven/qwen3-tts-models:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Animhaven/qwen3-tts-models:Q8_0 # Run inference directly in the terminal: llama cli -hf Animhaven/qwen3-tts-models:Q8_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf Animhaven/qwen3-tts-models:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf Animhaven/qwen3-tts-models:Q8_0
Use Docker
docker model run hf.co/Animhaven/qwen3-tts-models:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use Animhaven/qwen3-tts-models with Ollama:
ollama run hf.co/Animhaven/qwen3-tts-models:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use Animhaven/qwen3-tts-models with Docker Model Runner:
docker model run hf.co/Animhaven/qwen3-tts-models:Q8_0
- Lemonade
How to use Animhaven/qwen3-tts-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Animhaven/qwen3-tts-models:Q8_0
Run and chat with the model
lemonade run user.qwen3-tts-models-Q8_0
List all available models
lemonade list
- Atomic Chat
Download models/tokenizer_data.bin from Animhaven/qwen3-tts-models: direct link, hf CLI and curl.
- Browser
- Download file 5.16 MB
-
https://huggingface.co/Animhaven/qwen3-tts-models/resolve/main/models/tokenizer_data.bin
- Command line
-
hf download hf://Animhaven/qwen3-tts-models/models/tokenizer_data.bin
-
curl -L -o tokenizer_data.bin https://huggingface.co/Animhaven/qwen3-tts-models/resolve/main/models/tokenizer_data.bin
5.16 MB
- Xet hash:
- fce2131b4d1e5e0ae1f1d15b56df3c80045c7154e6715ad397e53497a7da389f
- Size of remote file:
- 5.16 MB
- SHA256:
- ef28e47ae10a9d3c432b8d5c48aeaa54953b529d0d21a65c2864d8c3400e66d3
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