Instructions to use KittenML/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 KittenML/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 KittenML/kitten-tts-2 # Run inference directly in the terminal: llama cli -hf KittenML/kitten-tts-2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf KittenML/kitten-tts-2 # Run inference directly in the terminal: llama cli -hf KittenML/kitten-tts-2
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 KittenML/kitten-tts-2 # Run inference directly in the terminal: ./llama-cli -hf KittenML/kitten-tts-2
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 KittenML/kitten-tts-2 # Run inference directly in the terminal: ./build/bin/llama-cli -hf KittenML/kitten-tts-2
Use Docker
docker model run hf.co/KittenML/kitten-tts-2
- LM Studio
- Jan
- Ollama
How to use KittenML/kitten-tts-2 with Ollama:
ollama run hf.co/KittenML/kitten-tts-2
- Unsloth Desktop
- Docker Model Runner
How to use KittenML/kitten-tts-2 with Docker Model Runner:
docker model run hf.co/KittenML/kitten-tts-2
- Lemonade
How to use KittenML/kitten-tts-2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull KittenML/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_w8/decoder.pt from KittenML/kitten-tts-2: direct link, hf CLI and curl.
- Browser
- Download file 312 MB
-
https://huggingface.co/KittenML/kitten-tts-2/resolve/main/cpp/student_w8/decoder.pt
- Command line
-
hf download hf://KittenML/kitten-tts-2/cpp/student_w8/decoder.pt
-
curl -L -o decoder.pt https://huggingface.co/KittenML/kitten-tts-2/resolve/main/cpp/student_w8/decoder.pt
312 MB
- Xet hash:
- c42c0d29fd611ace3162185077d6db24c016d82a4455884baf074ded890ad8f0
- Size of remote file:
- 312 MB
- SHA256:
- b5839b2c0aa12e907727383a9443dcc3bbe6912f0a4fd24a076ee9bad4457e5f
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