# Fast Training

This model is an efficient fine-tuning model optimized based on the TRL (Transformer Reinforcement Learning) library, focusing on the application of reinforcement learning in Transformer models.

A fine-tuned language model based on the 4-bit quantized version of TinyLLaMA, efficiently trained using Unsloth and TRL libraries

FFusionXL-BASE is a text-to-image generation model based on SDXL. It optimizes the training speed, supports multiple languages, and is suitable for various application scenarios.

RepVGG-A1 is a lightweight image classification model pre-trained on the ImageNette dataset, designed with a reparameterizable architecture.