Instructions to use microsoft/bitnet-b1.58-2B-4T-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/bitnet-b1.58-2B-4T-gguf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="microsoft/bitnet-b1.58-2B-4T-gguf")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/bitnet-b1.58-2B-4T-gguf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use microsoft/bitnet-b1.58-2B-4T-gguf 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/bitnet-b1.58-2B-4T-gguf # Run inference directly in the terminal: llama cli -hf microsoft/bitnet-b1.58-2B-4T-gguf
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf microsoft/bitnet-b1.58-2B-4T-gguf # Run inference directly in the terminal: llama cli -hf microsoft/bitnet-b1.58-2B-4T-gguf
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/bitnet-b1.58-2B-4T-gguf # Run inference directly in the terminal: ./llama-cli -hf microsoft/bitnet-b1.58-2B-4T-gguf
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/bitnet-b1.58-2B-4T-gguf # Run inference directly in the terminal: ./build/bin/llama-cli -hf microsoft/bitnet-b1.58-2B-4T-gguf
Use Docker
docker model run hf.co/microsoft/bitnet-b1.58-2B-4T-gguf
- LM Studio
- Jan
- vLLM
How to use microsoft/bitnet-b1.58-2B-4T-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "microsoft/bitnet-b1.58-2B-4T-gguf" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "microsoft/bitnet-b1.58-2B-4T-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/microsoft/bitnet-b1.58-2B-4T-gguf
- SGLang
How to use microsoft/bitnet-b1.58-2B-4T-gguf with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "microsoft/bitnet-b1.58-2B-4T-gguf" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "microsoft/bitnet-b1.58-2B-4T-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "microsoft/bitnet-b1.58-2B-4T-gguf" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "microsoft/bitnet-b1.58-2B-4T-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Ollama
How to use microsoft/bitnet-b1.58-2B-4T-gguf with Ollama:
ollama run hf.co/microsoft/bitnet-b1.58-2B-4T-gguf
- Unsloth Desktop
- Docker Model Runner
How to use microsoft/bitnet-b1.58-2B-4T-gguf with Docker Model Runner:
docker model run hf.co/microsoft/bitnet-b1.58-2B-4T-gguf
- Lemonade
How to use microsoft/bitnet-b1.58-2B-4T-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull microsoft/bitnet-b1.58-2B-4T-gguf
Run and chat with the model
lemonade run user.bitnet-b1.58-2B-4T-gguf-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
How to easily run on Windows OS ?
I want to use the model, can you give some advices to find .exe application under windows to directly run it ?
thank you for all
I want to use the model, can you give some advices to find .exe application under windows to directly run it ?
thank you for all
Hello lbarasc, you can try LM Studio if you do not know this great app : https://lmstudio.ai
(edit: do not work, we have to wait an update from llama.cpp)
yes lmstudio.ai could easly download the *.gguf
llama is updating frequently
π₯² Failed to load the model
Failed to load model
error loading model: llama_model_loader: failed to load model from .lmstudio\models\microsoft\bitnet-b1.58-2B-4T-gguf\ggml-model-i2_s.gguf
Does not support either LM Studio or Ollama
It seems there's no easy way. From my perspective, the easiest way is to build it oneself. Get vs2019, LLVM ready. Manually execute the header generate command beforehand and add some parameters to cmake -B. (Skip the conda environment part).
There is an easy way to use Bitnet in Windows, the last release here works fine.
https://github.com/grctest/Electron-BitNet