# 🚀 Final_demo-GGUF ### Optimized quantized models for efficient inference

## 💎 Model Variants | Variant | Use Case | Download | |---------|-----------|------------| | Final_demo_int8 | This variant is suitable for mobile and embedded devices where memory and computational resources are limited, providing a balance between accuracy and efficiency. | [📥](https://huggingface.co/Vuanhngo11/Final_demo-gguf/resolve/main/Final_demo_int8.gguf) | Final_demo_fp16 | This variant is ideal for applications requiring high accuracy and fast inference speed, such as real-time object detection and image classification, while still being relatively memory-efficient. | [📥](https://huggingface.co/Vuanhngo11/Final_demo-gguf/resolve/main/Final_demo_fp16.gguf) | Final_demo_fp32 | This variant is best suited for applications where high accuracy is paramount, such as in research and development environments, or when working with complex datasets that require precise calculations. | [📥](https://huggingface.co/Vuanhngo11/Final_demo-gguf/resolve/main/Final_demo_fp32.gguf) ## 🤝 Contributors Developed with ❤️ by [BlossomAI](https://huggingface.co/BlossomsAI) ---