Instructions to use mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/Pixtral-Large-Instruct-2411-hf-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 mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K

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 mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K

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 mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K

Use Docker

docker model run hf.co/mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K

LM Studio
Jan
Ollama
How to use mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K
```

Lemonade

How to use mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Pixtral-Large-Instruct-2411-hf-GGUF:Q2_K

Run and chat with the model

lemonade run user.Pixtral-Large-Instruct-2411-hf-GGUF-Q2_K

List all available models

lemonade list

Atomic Chat

For anyone who finds this

by Lockout - opened May 15

Discussion

Lockout

May 15

•

edited May 15

In my exl2 copy of pixtral, the rope theta was wrong, it should be 1000000.0 and not the gigantor value included in the config. You can leave it how you want but your long context will collapse into a black hole.

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