Tess-v2.5-Qwen2-72B is a 72.7 billion parameter large language model developed by migtissera, fine-tuned on the Qwen2-72B base. This model excels in reasoning, coding, and mathematics, achieving top rankings on MMLU among open-weight models and outperforming several frontier closed models. It is designed for complex conversational tasks, offering detailed answers and optional follow-up questions for a natural interaction.
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