Qwen2.5-VL-32B: Smarter and Lighter

32B is one of my favourite model sizes at this point - large enough to be extremely capable (generally equivalent to GPT-4 March 2023 level performance, which is when LLMs first got really useful) but small enough you can run them on a single GPU or a reasonably well specced Mac laptop (32GB or more).

I just started self hosting as well on my local machine, been using https://lmstudio.ai/ Locally for now.

I think the 32b models are actually good enough that I might stop paying for ChatGPT plus and Claude.

I get around 20 tok/second on my m3 and I can get 100 tok/second on smaller models or quantized. 80-100 tok/second is the best for interactive usage if you go above that you basically can’t read as fast as it generates.

I also really like the QwQ reaoning model, I haven’t gotten around to try out using locally hosted models for Agents and RAG especially coding agents is what im interested in. I feel like 20 tok/second is fine if it’s just running in the background.

Anyways would love to know others experiences, that was mine this weekend. The way it’s going I really dont see a point in paying, I think on-device is the near future and they should just charge a licensing fee like DB provider for enterprise support and updates.

If you were paying $20/mo for ChatGPT 1 year ago, the 32b models are basically at that level but slightly slower and slightly lower quality but useful enough to consider cancelling your subscriptions at this point.