Automatic Speech Recognition
GGUF
VibeVoice
ggml
ASR
quantization
cpu-inference
bitnet
conversational
Instructions to use P2Enjoy/VibeVoice-ASR-BitNet-slim 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 P2Enjoy/VibeVoice-ASR-BitNet-slim 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 P2Enjoy/VibeVoice-ASR-BitNet-slim # Run inference directly in the terminal: llama cli -hf P2Enjoy/VibeVoice-ASR-BitNet-slim
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf P2Enjoy/VibeVoice-ASR-BitNet-slim # Run inference directly in the terminal: llama cli -hf P2Enjoy/VibeVoice-ASR-BitNet-slim
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 P2Enjoy/VibeVoice-ASR-BitNet-slim # Run inference directly in the terminal: ./llama-cli -hf P2Enjoy/VibeVoice-ASR-BitNet-slim
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 P2Enjoy/VibeVoice-ASR-BitNet-slim # Run inference directly in the terminal: ./build/bin/llama-cli -hf P2Enjoy/VibeVoice-ASR-BitNet-slim
Use Docker
docker model run hf.co/P2Enjoy/VibeVoice-ASR-BitNet-slim
- LM Studio
- Jan
- Ollama
How to use P2Enjoy/VibeVoice-ASR-BitNet-slim with Ollama:
ollama run hf.co/P2Enjoy/VibeVoice-ASR-BitNet-slim
- Unsloth Studio
How to use P2Enjoy/VibeVoice-ASR-BitNet-slim with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for P2Enjoy/VibeVoice-ASR-BitNet-slim to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for P2Enjoy/VibeVoice-ASR-BitNet-slim to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for P2Enjoy/VibeVoice-ASR-BitNet-slim to start chatting
- Docker Model Runner
How to use P2Enjoy/VibeVoice-ASR-BitNet-slim with Docker Model Runner:
docker model run hf.co/P2Enjoy/VibeVoice-ASR-BitNet-slim
- Lemonade
How to use P2Enjoy/VibeVoice-ASR-BitNet-slim with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull P2Enjoy/VibeVoice-ASR-BitNet-slim
Run and chat with the model
lemonade run user.VibeVoice-ASR-BitNet-slim-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Upload tokenizer_config.json with huggingface_hub
Browse files- tokenizer_config.json +40 -0
tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": ["<|im_start|>", "<|im_end|>"],
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"bos_token": null,
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 32768,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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