Xwin-LM is a language model fine-tuned based on Llama2, which recently outperformed GPT-4 in the AlpacaEval assessment at Stanford University, claiming the top spot. This achievement has garnered widespread attention, as GPT-4 has consistently performed exceptionally well in AlpacaEval with a win rate exceeding 95%. However, the emergence of Xwin-LM has altered this landscape, demonstrating its formidable capabilities. Not only did Xwin-LM successfully defeat GPT-4, but it also introduced models of sizes 70B, 13B, and 7B, excelling in various performance evaluations and natural language processing tasks.