The Qwen family of models are REALLY impressive. I would encourage anyone who hasn't paid them any attention to at least add them to your mental list of LLMs worth knowing about.
QwQ is the Qwen team's exploration of the o1-style of model that has built in chain-of-thought. It's absolutely fascinating, partly because if you ask it a question in English it will often think in Chinese before spitting out an answer in English. My notes on that one here: https://simonwillison.net/2024/Nov/27/qwq/
Most of the Qwen models are Apache 2 licensed, which makes them more open than many of the other open weights models (Llama etc).
(Unsurprisingly they all get quite stubborn if you ask them about topics like Tiananmen Square)
Qwen2-VL is a decent vision model. You can try it out online here: https://huggingface.co/spaces/GanymedeNil/Qwen2-VL-7B - I got great results from it for OCR against handwritten text: https://simonwillison.net/2024/Sep/4/qwen2-vl/
Qwen2.5-Coder-32B is an excellent (I'd say even GPT-4 class) model at generating code which I can run on a 64GB M2 MacBook Pro: https://simonwillison.net/2024/Nov/12/qwen25-coder/
QwQ is the Qwen team's exploration of the o1-style of model that has built in chain-of-thought. It's absolutely fascinating, partly because if you ask it a question in English it will often think in Chinese before spitting out an answer in English. My notes on that one here: https://simonwillison.net/2024/Nov/27/qwq/
Most of the Qwen models are Apache 2 licensed, which makes them more open than many of the other open weights models (Llama etc).
(Unsurprisingly they all get quite stubborn if you ask them about topics like Tiananmen Square)