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Model: matrixportalx/Gemma-3-4B-GGUF Source: Original Platform
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README.md
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---
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base_model:
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- google/gemma-3-4b-it-qat-int4-unquantized
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- huihui-ai/gemma-3-4b-it-abliterated
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- VIDraft/Gemma-3-R1984-4B
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- neo4j/text-to-cypher-Gemma-3-4B-Instruct-2025.04.0
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- google/medgemma-4b-it
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- google/gemma-3-4b-it-qat-q4_0-unquantized
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- ZySec-AI/gemma-3-4b-document-writer
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# Gemma-3-4B GGUF Quantized Models
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## Technical Details
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- **Quantization Tool:** llama.cpp
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- **Version:** version: 5862 (704bb7a7)
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## Model Information
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- **Base Model:** [Gunulhona/Gemma-3-4B](https://huggingface.co/Gunulhona/Gemma-3-4B)
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- **Quantized by:** [matrixportal](https://huggingface.co/matrixportal)
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## Available Files
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| 🚀 Download | 🔢 Type | 📝 Description |
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|------------|---------|---------------|
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| [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) |
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| [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) |
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| [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) |
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💡 **Q4 K M** provides the best balance for most use cases
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