Instructions to use ggml-org/WavTokenizer 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 ggml-org/WavTokenizer with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf ggml-org/WavTokenizer:F16 --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf ggml-org/WavTokenizer:F16 --embeddings
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 embeddings server: ./build/bin/llama serve -hf ggml-org/WavTokenizer:F16 --embeddings
- Llama new
- LM Studio
- Jan
- Ollama
How to use ggml-org/WavTokenizer with Ollama:
ollama run hf.co/ggml-org/WavTokenizer:F16
- Unsloth Desktop
- Docker Model Runner
How to use ggml-org/WavTokenizer with Docker Model Runner:
docker model run hf.co/ggml-org/WavTokenizer:F16
- Lemonade
How to use ggml-org/WavTokenizer with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ggml-org/WavTokenizer:F16
Run and chat with the model
lemonade run user.WavTokenizer-F16
List all available models
lemonade list
- Atomic Chat
Commit History
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Added q5_1 quant
Verified signatureHere's a q5_1 quantized version of the WavTokenizer, had to make a few tweaks to quantize it correctly, as there are some tensors with incompatible shapes. But it works correctly with the current version on llama.cpp, and is a somewhat smaller. Feel free to try it.0660209
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Create README.md
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Upload WavTokenizer-Large-75-F16.gguf
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initial commit
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