Instructions to use agentory/kitten-tts-2 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 agentory/kitten-tts-2 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 agentory/kitten-tts-2 # Run inference directly in the terminal: llama cli -hf agentory/kitten-tts-2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf agentory/kitten-tts-2 # Run inference directly in the terminal: llama cli -hf agentory/kitten-tts-2
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 agentory/kitten-tts-2 # Run inference directly in the terminal: ./build/bin/llama cli -hf agentory/kitten-tts-2
Use Docker
docker model run hf.co/agentory/kitten-tts-2
- Llama new
- LM Studio
- Jan
- Ollama
How to use agentory/kitten-tts-2 with Ollama:
ollama run hf.co/agentory/kitten-tts-2
- Unsloth Desktop
- Docker Model Runner
How to use agentory/kitten-tts-2 with Docker Model Runner:
docker model run hf.co/agentory/kitten-tts-2
- Lemonade
How to use agentory/kitten-tts-2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull agentory/kitten-tts-2
Run and chat with the model
lemonade run user.kitten-tts-2-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download cpp/student_w4/voices.json from agentory/kitten-tts-2: direct link, hf CLI and curl.
- Browser
- Download file 41.1 MB
-
https://huggingface.co/agentory/kitten-tts-2/resolve/main/cpp/student_w4/voices.json
- Command line
-
hf download hf://agentory/kitten-tts-2/cpp/student_w4/voices.json
-
curl -L -o voices.json https://huggingface.co/agentory/kitten-tts-2/resolve/main/cpp/student_w4/voices.json
41.1 MB
- Xet hash:
- ef50e7d50ce46068508df2c784d5f55a3de94d981047ba9d7f6fe30a3641dd6f
- Size of remote file:
- 41.1 MB
- SHA256:
- 5aa77686471a5fedfb6452322bce06d8bfdec8af33329aa24f450b9d71918d8b
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