---
base_model:
- google/gemma-3-4b-it-qat-int4-unquantized
- huihui-ai/gemma-3-4b-it-abliterated
- VIDraft/Gemma-3-R1984-4B
- neo4j/text-to-cypher-Gemma-3-4B-Instruct-2025.04.0
- google/medgemma-4b-it
- google/gemma-3-4b-it-qat-q4_0-unquantized
- ZySec-AI/gemma-3-4b-document-writer
library_name: transformers
tags:
- mergekit
- merge
---

# Gemma-3-4B GGUF Quantized Models

## Technical Details
- **Quantization Tool:** llama.cpp
- **Version:** version: 5862 (704bb7a7)

## Model Information
- **Base Model:** [Gunulhona/Gemma-3-4B](https://huggingface.co/Gunulhona/Gemma-3-4B)
- **Quantized by:** [matrixportal](https://huggingface.co/matrixportal)

## Available Files
| 🚀 Download | 🔢 Type | 📝 Description |
|------------|---------|---------------|
| [Download](https://huggingface.co/matrixportal/Gemma-3-4B-GGUF/resolve/main/gemma-3-4b.q4_0.gguf) | Q4 0 | Standard 4-bit (fast on ARM) |
| [Download](https://huggingface.co/matrixportal/Gemma-3-4B-GGUF/resolve/main/gemma-3-4b.q4_k_m.gguf) | Q4 K M | 4-bit balanced (recommended default) |
| [Download](https://huggingface.co/matrixportal/Gemma-3-4B-GGUF/resolve/main/gemma-3-4b.q5_k_m.gguf) | Q5 K M | 5-bit best (recommended HQ option) |

💡 **Q4 K M** provides the best balance for most use cases