Instructions to use microsoft/VibeVoice-ASR-BitNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use microsoft/VibeVoice-ASR-BitNet with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="microsoft/VibeVoice-ASR-BitNet",
	filename="vibeasr-lm-i2_s-embed-q6_k.gguf",
)

llm.create_chat_completion(
	messages = "\"sample1.flac\""
)

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 Studio

How to use microsoft/VibeVoice-ASR-BitNet 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 microsoft/VibeVoice-ASR-BitNet 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 microsoft/VibeVoice-ASR-BitNet to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for microsoft/VibeVoice-ASR-BitNet to start chatting

Atomic Chat new
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

VibeVoice-ASR-BitNet / tokenizer_config.json

frontierai

Initial model release

66e7802 verified about 20 hours ago

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	{
	"add_prefix_space": false,
	"added_tokens_decoder": {
	"151643": {
	"content": "<\|endoftext\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"151644": {
	"content": "<\|im_start\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"151645": {
	"content": "<\|im_end\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	}
	},
	"additional_special_tokens": ["<\|im_start\|>", "<\|im_end\|>"],
	"bos_token": null,
	"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 %}",
	"clean_up_tokenization_spaces": false,
	"eos_token": "<\|endoftext\|>",
	"errors": "replace",
	"model_max_length": 32768,
	"pad_token": "<\|endoftext\|>",
	"split_special_tokens": false,
	"tokenizer_class": "Qwen2Tokenizer",
	"unk_token": null
	}