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

Atomic Chat new
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

Vision not working on ollama - Tried updating templates

by usamakenway - opened Apr 24, 2025

Discussion

usamakenway

Apr 24, 2025

Model doesnt understand the image on ollama . Tried original template and some other too.
If it works for someone else, lemme know.

Mdubbya

Apr 29, 2025

did you add the mmproj file?

owao

May 2, 2025

adding the mmproj as second FROMor downloading HF via eg. ollama run hf.co/unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_XLleads to this:

clip_init: failed to load model '/home/user/.ollama/models/blobs/sha256-ca4d5ba2c7659021bf457abb2a3f346e9b83169655ab7ccd570b53dbe692abb2': load_hparams: unknown projector type: pixtral

shimmyshimmer

Unsloth AI org May 2, 2025

@Mdubbya @owao @usamakenway

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

felikz

May 6, 2025

I am getting similar but different error:

clip_init: failed to load model '/Users/felikz/.ollama/models/blobs/sha256-f5add93ad360ef6ccba571bba15e8b4bd4471f3577440a8b18785f8707d987ed': operator(): unable to find tensor mm.1.bias

Ollama 0.6.8 / M1 Max 32GB

Other models works well.

ConsultantCoder

May 9, 2025

Same here: clip_init: failed to load model '/Users/Christian/.ollama/models/blobs/sha256-f5add93ad360ef6ccba571bba15e8b4bd4471f3577440a8b18785f8707d987ed': operator(): unable to find tensor mm.1.bias

shimmyshimmer

Unsloth AI org May 9, 2025

Ok might be because ollamadidnt update to the latest PR in llama.cpp

owao

May 9, 2025

Ok might be because ollamadidnt update to the latest PR in llama.cpp

OK, thanks for taking the time to bring the explanation :)

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