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--- |
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base_model: google/gemma-3-4b-it |
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library_name: gguf |
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pipeline_tag: text-generation |
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language: en |
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license: apache-2.0 |
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tags: |
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- gguf |
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- quantized |
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- llama.cpp |
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- zeth-gemma3-4b |
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model_type: llama |
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quantized_by: theprint |
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--- |
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# Zeth-Gemma3-4B - GGUF Quantized |
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Quantized GGUF versions of [Zeth-Gemma3-4B](https://huggingface.co/theprint/Zeth-Gemma3-4B) for use with llama.cpp and other GGUF-compatible inference engines. |
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## Original Model |
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- **Base model:** [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it) |
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- **Fine-tuned model:** [theprint/Zeth-Gemma3-4B](https://huggingface.co/theprint/Zeth-Gemma3-4B) |
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- **Quantized by:** theprint |
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## Available Quantizations |
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- `Zeth-Gemma3-4B-f16.gguf` (8688.3 MB) - 16-bit float (original precision, largest file) |
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- `Zeth-Gemma3-4B-q3_k_m.gguf` (2276.3 MB) - 3-bit quantization (medium quality) |
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- `Zeth-Gemma3-4B-q4_k_m.gguf` (2734.6 MB) - 4-bit quantization (medium, recommended for most use cases) |
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- `Zeth-Gemma3-4B-q5_k_m.gguf` (3138.7 MB) - 5-bit quantization (medium, good quality) |
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- `Zeth-Gemma3-4B-q6_k.gguf` (3568.1 MB) - 6-bit quantization (high quality) |
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- `Zeth-Gemma3-4B-q8_0.gguf` (4619.2 MB) - 8-bit quantization (very high quality) |
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## Usage |
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### With llama.cpp |
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```bash |
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# Download recommended quantization |
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wget https://huggingface.co/theprint/Zeth-Gemma3-4B-GGUF/resolve/main/Zeth-Gemma3-4B-q4_k_m.gguf |
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# Run inference |
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./llama.cpp/main -m Zeth-Gemma3-4B-q4_k_m.gguf \ |
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-p "Your prompt here" \ |
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-n 256 \ |
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--temp 0.7 \ |
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--top-p 0.9 |
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``` |
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### With other GGUF tools |
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These files are compatible with: |
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- [llama.cpp](https://github.com/ggerganov/llama.cpp) |
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- [Ollama](https://ollama.ai/) (import as custom model) |
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- [KoboldCpp](https://github.com/LostRuins/koboldcpp) |
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- [text-generation-webui](https://github.com/oobabooga/text-generation-webui) |
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## Quantization Info |
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**Recommended:** `q4_k_m` provides the best balance of size, speed, and quality for most use cases. |
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**For maximum quality:** Use `q8_0` or `f16` |
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**For maximum speed/smallest size:** Use `q3_k_m` or `q4_k_s` |
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## License |
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apache-2.0 |
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## Citation |
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```bibtex |
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@misc{zeth_gemma3_4b_gguf, |
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title={Zeth-Gemma3-4B GGUF Quantized Models}, |
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author={theprint}, |
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year={2025}, |
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publisher={Hugging Face}, |
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url={https://huggingface.co/theprint/Zeth-Gemma3-4B-GGUF} |
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} |
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``` |
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