open-thoughts/OpenThinker2-32B

OpenThinker2-32B is a 32.8 billion parameter instruction-tuned causal language model developed by open-thoughts, fine-tuned from Qwen2.5-32B-Instruct. Optimized for complex reasoning, mathematics, and code, it leverages the OpenThoughts2-1M dataset, which includes augmented math and code reasoning data. This model demonstrates strong performance across various reasoning benchmarks, making it suitable for advanced analytical tasks.