Instructions to use Matej/gemma-3-4b-fine-tuned-slo-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 Matej/gemma-3-4b-fine-tuned-slo-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 Matej/gemma-3-4b-fine-tuned-slo-gguf
# Run inference directly in the terminal:
llama cli -hf Matej/gemma-3-4b-fine-tuned-slo-gguf

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Matej/gemma-3-4b-fine-tuned-slo-gguf
# Run inference directly in the terminal:
llama cli -hf Matej/gemma-3-4b-fine-tuned-slo-gguf

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 Matej/gemma-3-4b-fine-tuned-slo-gguf
# Run inference directly in the terminal:
./llama-cli -hf Matej/gemma-3-4b-fine-tuned-slo-gguf

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 Matej/gemma-3-4b-fine-tuned-slo-gguf
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Matej/gemma-3-4b-fine-tuned-slo-gguf

Use Docker

docker model run hf.co/Matej/gemma-3-4b-fine-tuned-slo-gguf

LM Studio
Jan

vLLM

How to use Matej/gemma-3-4b-fine-tuned-slo-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Matej/gemma-3-4b-fine-tuned-slo-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": "Matej/gemma-3-4b-fine-tuned-slo-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Matej/gemma-3-4b-fine-tuned-slo-gguf

Ollama
How to use Matej/gemma-3-4b-fine-tuned-slo-gguf with Ollama:
```
ollama run hf.co/Matej/gemma-3-4b-fine-tuned-slo-gguf
```
Unsloth Desktop
Docker Model Runner
How to use Matej/gemma-3-4b-fine-tuned-slo-gguf with Docker Model Runner:
```
docker model run hf.co/Matej/gemma-3-4b-fine-tuned-slo-gguf
```

Lemonade

How to use Matej/gemma-3-4b-fine-tuned-slo-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Matej/gemma-3-4b-fine-tuned-slo-gguf

Run and chat with the model

lemonade run user.gemma-3-4b-fine-tuned-slo-gguf-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

gemma-3-4b-fine-tuned-slo-gguf / gemma-3-4b-fine-tuned-slo.gguf

Matej

Upload folder using huggingface_hub

1fa0a6e verified over 1 year ago

Download

History Blame GGUF Editor new Delete

9.11 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 4654ad5244cef157c0f1cd6e18e32476b6bf90d86723d644064ef26db58345d7
Size of remote file:: 9.11 GB
SHA256:: 1ebac8506c23637a2436c9488f7e66d6ec26abba0dd7be5a6ecfbfde5c618595

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.