Instructions to use vishinvents/OpenEuroLLM-Czech-vLLM-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use vishinvents/OpenEuroLLM-Czech-vLLM-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 vishinvents/OpenEuroLLM-Czech-vLLM-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf vishinvents/OpenEuroLLM-Czech-vLLM-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf vishinvents/OpenEuroLLM-Czech-vLLM-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf vishinvents/OpenEuroLLM-Czech-vLLM-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 vishinvents/OpenEuroLLM-Czech-vLLM-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf vishinvents/OpenEuroLLM-Czech-vLLM-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 vishinvents/OpenEuroLLM-Czech-vLLM-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf vishinvents/OpenEuroLLM-Czech-vLLM-GGUF:Q4_K_M

Use Docker

docker model run hf.co/vishinvents/OpenEuroLLM-Czech-vLLM-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use vishinvents/OpenEuroLLM-Czech-vLLM-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "vishinvents/OpenEuroLLM-Czech-vLLM-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": "vishinvents/OpenEuroLLM-Czech-vLLM-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/vishinvents/OpenEuroLLM-Czech-vLLM-GGUF:Q4_K_M

Ollama
How to use vishinvents/OpenEuroLLM-Czech-vLLM-GGUF with Ollama:
```
ollama run hf.co/vishinvents/OpenEuroLLM-Czech-vLLM-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use vishinvents/OpenEuroLLM-Czech-vLLM-GGUF with Docker Model Runner:
```
docker model run hf.co/vishinvents/OpenEuroLLM-Czech-vLLM-GGUF:Q4_K_M
```

Lemonade

How to use vishinvents/OpenEuroLLM-Czech-vLLM-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull vishinvents/OpenEuroLLM-Czech-vLLM-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.OpenEuroLLM-Czech-vLLM-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

OpenEuroLLM-Czech vLLM GGUF

This repository is a deployment-focused package for serving the Czech-flavored OpenEuroLLM-Czech experience with vLLM.

It uses a vLLM-compatible split Gemma 3 GGUF layout:

gemma-3-12b-it-Q4_K_M.gguf: language model weights
mmproj-model-f16.gguf: vision encoder and projector weights

The Czech behavior is provided by the default system prompt in czech-system-prompt.txt, adapted from the original Ollama package jobautomation/OpenEuroLLM-Czech.

Important Notes

This is not a separately fine-tuned Czech checkpoint.
The underlying weights are Gemma 3 12B GGUF weights packaged for vLLM deployment.
To reproduce the Czech assistant behavior, send the system prompt from czech-system-prompt.txt with your requests.

Files

gemma-3-12b-it-Q4_K_M.gguf
mmproj-model-f16.gguf
config.json
generation_config.json
czech-system-prompt.txt
NOTICE
licenses/

Recommended Deployment

The safest path is to download the repository locally first so vLLM can resolve the sidecar mmproj file in the same directory.

hf download vishinvents/OpenEuroLLM-Czech-vLLM-GGUF --local-dir ./OpenEuroLLM-Czech-vLLM-GGUF

Then serve the local GGUF file:

vllm serve ./OpenEuroLLM-Czech-vLLM-GGUF/gemma-3-12b-it-Q4_K_M.gguf \
  --tokenizer unsloth/gemma-3-12b-it \
  --served-model-name OpenEuroLLM-Czech

If you are using images, keep mmproj-model-f16.gguf in the same directory as the main GGUF.

Using the Czech Prompt

Send the contents of czech-system-prompt.txt as the system message in your chat requests.

License

This repository includes the license materials needed for redistribution:

licenses/Gemma-Terms-of-Use.txt
licenses/Additional-License.txt

See NOTICE for the Gemma redistribution notice.

Downloads last month: 253

GGUF

Model size

12B params

Architecture

gemma3

Hardware compatibility

4-bit

Model tree for vishinvents/OpenEuroLLM-Czech-vLLM-GGUF

Base model

google/gemma-3-12b-pt

Finetuned

google/gemma-3-12b-it

Quantized

(167)

this model