Automatic Speech Recognition
Safetensors
GGUF
VibeVoice
ggml
ASR
quantization
cpu-inference
bitnet
multilingual
conversational
Instructions to use microsoft/VibeVoice-ASR-BitNet 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 microsoft/VibeVoice-ASR-BitNet 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 microsoft/VibeVoice-ASR-BitNet:Q6_K # Run inference directly in the terminal: llama cli -hf microsoft/VibeVoice-ASR-BitNet:Q6_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf microsoft/VibeVoice-ASR-BitNet:Q6_K # Run inference directly in the terminal: llama cli -hf microsoft/VibeVoice-ASR-BitNet:Q6_K
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 microsoft/VibeVoice-ASR-BitNet:Q6_K # Run inference directly in the terminal: ./llama-cli -hf microsoft/VibeVoice-ASR-BitNet:Q6_K
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 microsoft/VibeVoice-ASR-BitNet:Q6_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf microsoft/VibeVoice-ASR-BitNet:Q6_K
Use Docker
docker model run hf.co/microsoft/VibeVoice-ASR-BitNet:Q6_K
- LM Studio
- Jan
- Ollama
How to use microsoft/VibeVoice-ASR-BitNet with Ollama:
ollama run hf.co/microsoft/VibeVoice-ASR-BitNet:Q6_K
- Unsloth Desktop
- Docker Model Runner
How to use microsoft/VibeVoice-ASR-BitNet with Docker Model Runner:
docker model run hf.co/microsoft/VibeVoice-ASR-BitNet:Q6_K
- Lemonade
How to use microsoft/VibeVoice-ASR-BitNet with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull microsoft/VibeVoice-ASR-BitNet:Q6_K
Run and chat with the model
lemonade run user.VibeVoice-ASR-BitNet-Q6_K
List all available models
lemonade list
- Atomic Chat
Download model-00003-of-00003.safetensors from microsoft/VibeVoice-ASR-BitNet: direct link, hf CLI and curl.
- Browser
- Download file 1.3 GB
-
https://huggingface.co/microsoft/VibeVoice-ASR-BitNet/resolve/main/model-00003-of-00003.safetensors
- Command line
-
hf download hf://microsoft/VibeVoice-ASR-BitNet/model-00003-of-00003.safetensors
-
curl -L -o model-00003-of-00003.safetensors https://huggingface.co/microsoft/VibeVoice-ASR-BitNet/resolve/main/model-00003-of-00003.safetensors
1.3 GB
- Xet hash:
- a491944ad2de59aa7a32b26213f9d788c07c3f99bce7ef52a4663f0176a59bb0
- Size of remote file:
- 1.3 GB
- SHA256:
- 49c2d7591f9dcbbd6fb37baa58379211f21df30dbd3c6ff39cb8c81473660cdb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.