Instructions to use unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF",
	filename="Mistral-Small-3.1-24B-Instruct-2503-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/Mistral-Small-3.1-24B-Instruct-2503-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama-cli -hf unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF:UD-Q4_K_XL

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama-cli -hf unsloth/Mistral-Small-3.1-24B-Instruct-2503-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/Mistral-Small-3.1-24B-Instruct-2503-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./llama-cli -hf unsloth/Mistral-Small-3.1-24B-Instruct-2503-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/Mistral-Small-3.1-24B-Instruct-2503-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./build/bin/llama-cli -hf unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF:UD-Q4_K_XL

Use Docker

docker model run hf.co/unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF:UD-Q4_K_XL

LM Studio
Jan
Ollama
How to use unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF with Ollama:
```
ollama run hf.co/unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF:UD-Q4_K_XL
```

Unsloth Studio

How to use unsloth/Mistral-Small-3.1-24B-Instruct-2503-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/Mistral-Small-3.1-24B-Instruct-2503-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/Mistral-Small-3.1-24B-Instruct-2503-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/Mistral-Small-3.1-24B-Instruct-2503-GGUF to start chatting

Docker Model Runner
How to use unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF with Docker Model Runner:
```
docker model run hf.co/unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF:UD-Q4_K_XL
```

Lemonade

How to use unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF:UD-Q4_K_XL

Run and chat with the model

lemonade run user.Mistral-Small-3.1-24B-Instruct-2503-GGUF-UD-Q4_K_XL

List all available models

lemonade list

Can`t see the image in LM studio.

by Technobiotik - opened Mar 23, 2025

Discussion

Technobiotik

Mar 23, 2025

I had downloaded model with vision, but dont see mark (an Eye) and cant add the image.
I have not enough VRAM (radeon r580) and use RAM and processor.

lasersharp

Mar 25, 2025

i have also observed the same, it can't accept image as input.

j0k3w0n

Mar 26, 2025

Hi
Me too. I'm not able to use Vision capabilities, as far as I know this issue is related with llama.cpp
Does it correct??
Could you help us?
Thanks for sharing and effort.

illtellyoulater

Mar 29, 2025

Same. How to fix?

shimmyshimmer

Unsloth AI org Mar 29, 2025

They haven't made support for the image component yet on any framework so it won't work anywhere no matter which GGUF you use so currently it's text only :(

We'll update you guys if it does get supported with vision capabilities tho

stduhpf

May 1, 2025

It's finally supported in llama.cpp now, it should be available in LM studio soon.

shimmyshimmer

Unsloth AI org May 2, 2025

We just updated the models to now support vision thanks to the latest PR in llama.cpp

CC: @Technobiotik @lasersharp @j0k3w0n @illtellyoulater @stduhpf

Technobiotik

May 9, 2025

Didnt work in LM Studio 0.3.15, but thanks anyway.

shimmyshimmer

Unsloth AI org May 12, 2025

could you guys try again? There was an update to LMStudio today so now it should work including all other vision models!

CC: @Technobiotik @lasersharp @j0k3w0n @illtellyoulater @stduhpf

Technobiotik

May 14, 2025

tested. On my computer (rx580, 8gb vram) is no icon.
Maybe it`s about vram. q4k_m

shimmyshimmer

Unsloth AI org May 16, 2025

tested. On my computer (rx580, 8gb vram) is no icon.
Maybe it`s about vram. q4k_m

Did you use the latest lmstudio version and model? I'm guessing you did. Weird how it's not working for you 🤔

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