Elliott/Qwen2.5-Math-7B-16k-think

Elliott/Qwen2.5-Math-7B-16k-think is a 7.6 billion parameter language model based on the Qwen2.5-Math-7B architecture, developed by Jianhao Yan et al. It features an extended context window of 131,072 tokens and a modified chat template that includes a <think> token. This model is specifically optimized for reasoning and mathematical tasks, building upon the base model described in the paper "Learning to Reason under Off-Policy Guidance."