Qwen 3.6 35B (finetuned) is so good that it became standard open weights for everyday use. Is not far at all from proprietary models if you give it tools, skills and agents etc, it can actually finish the job. (Thank you Qwen team, appreciated). Using opensource now we can definitely rely to design from scratch very complicated architecture and build pretty fast the full pack. Wish to see Europe AI unleashed, wake up.
It's 3.7-max; max was never open-weighted before. I don't see any smaller models in that tweet.
For coding it’s really bad. Writing is ok, chat is good. It’ll get better but it’s not that close yet
Do you have a good resource on how to finetune a model like Qwen? I am curious to try it out.
Can you share the GGUF for this specific success story? I'd like to try it for myself.
> Is not far at all from proprietary models if you give it tools, skills and agents etc,
I use Qwen 3.6 27B, the dense version of this model which is slightly better.
I don't agree that it's close at all. Maybe for some small, easy tasks, but not for working on real codebases. It's amazing for something I can run at home, but the difference between it and Opus or GPT-5.5 is huge.