QwQ 32b

Capable of thinking and reasoning

QwQ-32B is a 32-billion-parameter reasoning model from the Qwen series, designed to excel at complex problem-solving and structured logical reasoning tasks. Despite its moderate size, it matches or surpasses the performance of much larger models like DeepSeek-R1 on challenging benchmarks, thanks to advanced reinforcement learning techniques. QwQ-32B is open-weight, supports very long context windows, and is accessible for local or cloud deployment, making it a practical choice for high-level reasoning and coding applications