The Yuanxiang Open Source High-Performance Large Model XVERSE-65B-2 Base Version focuses on enhancing code and math capabilities. XVERSE-65B-2 has been optimized in Continual Pre-Training, with a total training token volume of 3.2 trillion. Yuanxiang's large model surpasses GPT-3.5 and Llama2-70B in comprehensive evaluations, and it significantly exceeds open-source benchmarks. XVERSE-65B performs exceptionally well in SuperCLUE Chinese general large model tasks.

YuanXiang announced the open-source high-performance large model XVERSE-65B-Chat edition, which is unconditionally free for commercial use. XVERSE-65B ranks first in the national open-source total score in the SuperCLUE comprehensive benchmark assessment for Chinese general large models. XVERSE-65B has stronger understanding, generation, logic, and memory capabilities, capable of handling more diverse and challenging tasks. YuanXiang has open-sourced three large models with 7 billion, 13 billion, and 65 billion parameters, among which XVERSE-65B is one.