---
base_model: SicariusSicariiStuff/X-Ray_Alpha
language:
- en
license: gemma
tags:
- llama-cpp
- matrixportal
---

# matrixportal/X-Ray_Alpha-GGUF
   This model was converted to GGUF format from [`SicariusSicariiStuff/X-Ray_Alpha`](https://huggingface.co/SicariusSicariiStuff/X-Ray_Alpha) using llama.cpp via the ggml.ai's [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where) space.
Refer to the [original model card](https://huggingface.co/SicariusSicariiStuff/X-Ray_Alpha) for more details on the model.


## ✅ Quantized Models Download List

### 🔍 Recommended Quantizations
- **✨ General CPU Use:** [`Q4_K_M`](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q4_k_m.gguf) (Best balance of speed/quality)
- **📱 ARM Devices:** [`Q4_0`](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q4_0.gguf) (Optimized for ARM CPUs)
- **🏆 Maximum Quality:** [`Q8_0`](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q8_0.gguf) (Near-original quality)

### 📦 Full Quantization Options
| 🚀 Download | 🔢 Type | 📝 Notes |
|:---------|:-----|:------|
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q2_k.gguf) | ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) | Basic quantization |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q3_k_s.gguf) | ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) | Small size |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q3_k_m.gguf) | ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) | Balanced quality |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q3_k_l.gguf) | ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) | Better quality |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q4_0.gguf) | ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) | Fast on ARM |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q4_k_s.gguf) | ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) | Fast, recommended |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q4_k_m.gguf) | ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ | Best balance |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q5_0.gguf) | ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) | Good quality |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q5_k_s.gguf) | ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) | Balanced |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q5_k_m.gguf) | ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) | High quality |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q6_k.gguf) | ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 | Very good quality |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-q8_0.gguf) | ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ | Fast, best quality |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-f16.gguf) | ![F16](https://img.shields.io/badge/F16-000000) | Maximum accuracy |
| [Download](https://huggingface.co/matrixportal/X-Ray_Alpha-GGUF/resolve/main/x-ray_alpha-mmproj.gguf) | ![mmproj](https://img.shields.io/badge/mmproj-000000) | Multimodal projection file for image processing |

💡 **Pro Tip:** Start with `Q4_K_M` for most use cases, only use `F16` if you need maximum precision.