open-thoughts/OpenThinker-7B

OpenThinker-7B is a 7.6 billion parameter language model developed by open-thoughts, fine-tuned from Qwen/Qwen2.5-7B-Instruct. It is specifically optimized for reasoning tasks, leveraging the OpenThoughts-114k dataset which distills DeepSeek-R1. This model demonstrates improved performance on benchmarks like AIME24 and MATH500 compared to its predecessor, Bespoke-Stratos-7B, making it suitable for complex analytical and problem-solving applications.