Instructions to use NbAiLab/borealis-4b-instruct-preview-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use NbAiLab/borealis-4b-instruct-preview-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="NbAiLab/borealis-4b-instruct-preview-gguf", filename="borealis-4b-instruct-preview-BF16.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use NbAiLab/borealis-4b-instruct-preview-gguf with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M
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 NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M
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 NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M
Use Docker
docker model run hf.co/NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use NbAiLab/borealis-4b-instruct-preview-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NbAiLab/borealis-4b-instruct-preview-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": "NbAiLab/borealis-4b-instruct-preview-gguf", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M
- Ollama
How to use NbAiLab/borealis-4b-instruct-preview-gguf with Ollama:
ollama run hf.co/NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M
- Unsloth Studio new
How to use NbAiLab/borealis-4b-instruct-preview-gguf 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 NbAiLab/borealis-4b-instruct-preview-gguf 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 NbAiLab/borealis-4b-instruct-preview-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for NbAiLab/borealis-4b-instruct-preview-gguf to start chatting
- Docker Model Runner
How to use NbAiLab/borealis-4b-instruct-preview-gguf with Docker Model Runner:
docker model run hf.co/NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M
- Lemonade
How to use NbAiLab/borealis-4b-instruct-preview-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull NbAiLab/borealis-4b-instruct-preview-gguf:Q4_K_M
Run and chat with the model
lemonade run user.borealis-4b-instruct-preview-gguf-Q4_K_M
List all available models
lemonade list
Borealis 4B Instruct GGUF (Preview)
Release: Dec 22nd, 2025.
Model summary
NbAiLab/borealis-4b-instruct-preview-gguf are quantized versions in GGUF format of a 4B-parameter instruction-tuned preview model intended for early testing and feedback. It is an experiment and should be treated as pre-release quality.
The original model is NbAiLab/borealis-4b-instruct-preview.
| Model | Bits | Format |
|---|---|---|
| NbAiLab/borealis-4b-instruct-preview | BF16 | Transformers (safetensors) |
| NbAiLab/borealis-4b-instruct-preview-gguf | 4 | GGUF (q4_K_M) |
| NbAiLab/borealis-4b-instruct-preview-gguf | 8 | GGUF (q8_0) |
| NbAiLab/borealis-4b-instruct-preview-gguf | BF16 | GGUF (bf16) |
| NbAiLab/borealis-4b-instruct-preview-mlx | 32 | MLX |
| NbAiLab/borealis-4b-instruct-preview-mlx-8bits | 8 | MLX (quantized) |
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Model tree for NbAiLab/borealis-4b-instruct-preview-gguf
Base model
google/gemma-3-4b-pt