Simon Willison’s Weblog

QwQ-32B: Embracing the Power of Reinforcement Learning (via) New Apache 2 licensed reasoning model from Qwen:

We are excited to introduce QwQ-32B, a model with 32 billion parameters that achieves performance comparable to DeepSeek-R1, which boasts 671 billion parameters (with 37 billion activated). This remarkable outcome underscores the effectiveness of RL when applied to robust foundation models pretrained on extensive world knowledge.

I had a lot of fun trying out their previous QwQ reasoning model last November. I demonstrated this new QwQ in my talk at NICAR about recent LLM developments. Here's the example I ran.

LM Studio just released GGUFs ranging in size from 17.2 to 34.8 GB. MLX have compatible weights published in 3bit, 4bit, 6bit and 8bit. Ollama has the new qwq too - it looks like they've renamed the previous November release qwq:32b-preview.