Instructions to use unsloth/Magistral-Small-2506-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use unsloth/Magistral-Small-2506-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="unsloth/Magistral-Small-2506-GGUF",
	filename="Magistral-Small-2506-BF16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use unsloth/Magistral-Small-2506-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 unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL

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 unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./llama-cli -hf unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL

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 unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./build/bin/llama-cli -hf unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL

Use Docker

docker model run hf.co/unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL

LM Studio
Jan
Ollama
How to use unsloth/Magistral-Small-2506-GGUF with Ollama:
```
ollama run hf.co/unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL
```

Unsloth Studio

How to use unsloth/Magistral-Small-2506-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 unsloth/Magistral-Small-2506-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 unsloth/Magistral-Small-2506-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for unsloth/Magistral-Small-2506-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use unsloth/Magistral-Small-2506-GGUF with Docker Model Runner:
```
docker model run hf.co/unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL
```

Lemonade

How to use unsloth/Magistral-Small-2506-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL

Run and chat with the model

lemonade run user.Magistral-Small-2506-GGUF-UD-Q4_K_XL

List all available models

lemonade list

Magistral with experimental VISION support! 👁️

pinned

by shimmyshimmer - opened Jun 15, 2025

Discussion

shimmyshimmer

Unsloth AI org Jun 15, 2025

Hey guys, we latched on Mistral Small 3.1's mmproj file, all thanks to @ngxson 's original idea for Devstral. We tested it and so did many of you and the results seems great!

Let us know if there are any issues or problems with this addition of vision support.

And the vision support is totally optional. Would recommend reading about the vision support here

shimmyshimmer pinned discussion Jun 15, 2025

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