Instructions to use ArtusDev/allura-org_Gemma-3-Glitter-4B-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 ArtusDev/allura-org_Gemma-3-Glitter-4B-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 ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ArtusDev/allura-org_Gemma-3-Glitter-4B-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 ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ArtusDev/allura-org_Gemma-3-Glitter-4B-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 ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf ArtusDev/allura-org_Gemma-3-Glitter-4B-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 ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ArtusDev/allura-org_Gemma-3-Glitter-4B-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": "ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF:Q4_K_M

Ollama
How to use ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF with Ollama:
```
ollama run hf.co/ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF with Docker Model Runner:
```
docker model run hf.co/ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF:Q4_K_M
```

Lemonade

How to use ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.allura-org_Gemma-3-Glitter-4B-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF

✨ Overview :3

This repository contains GGUF format model files converted from allura-org/Gemma-3-Glitter-4B.

The conversion was performed by ArtusDev using llama.cpp, specifically utilizing the imatrix quantization option for potentially improved performance.

📄 Original Model Details ^_^

For more information about the model please refer to the original model card. It's pretty neat (empty)!

💬 Instruct Format >.<

This model uses a custom Gemma 2/3 instruct format. It has been trained to recognize an optional system role.

<start_of_turn>system
{optional system prompt here}<end_of_turn>
<start_of_turn>user
{User messages. You can also place the system prompt here.}<end_of_turn>
<start_of_turn>model
{Model's response}<end_of_turn>

Note: Always ensure the format strictly adheres to the required tokens and structure for optimal model performance. Don't mess it up :3!

GGUF Quantizations (imatrix) by ArtusDev >:3

Downloads last month: 95

GGUF

Model size

4B params

Architecture

gemma3

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Model tree for ArtusDev/allura-org_Gemma-3-Glitter-4B-GGUF

Base model

google/gemma-3-4b-pt

Finetuned

google/gemma-3-4b-it

Finetuned

allura-org/Gemma-3-Glitter-4B

Quantized

(4)

this model