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I use an 6700 XTX and it's working perfectly fine, depending on the model. Gemma4 takes a long time to generate answers, but the Qwen-Series is quick and starts generating answers in ~10 seconds.
What's the quality of the answers though? And how much context can it hold? I imagine it's only good for small, short questions, but have no concept of what is needed for that.
I'm assuming you're using a 12b or 24b qwen model. The ones from deepseek go up to hundreds of billions of params and I can't tell if bigger number is better or just meaningless posturing.
I'm using the 35b models.
Quality for qwen is mostly fine - sometimes it does hallucinate some shit while thinking, but it does correct itself almost every time. But the answers itself are, for the most part, precise and useful. Not what you know from the cloud models, obviously, but it's absolutely fine for everyday use. What is actually annoying is the web search - not sure if that's a qwen problem or a problem with open webui, but it actually takes a long time to finish the search.
I once had a situation where a model was running into an "infinite loop" while thinking, thinking the same line over and over again. And once, qwen just started outputting chinese halfway through the answer lol.
When it comes to context, I'm gonna be very honest - I don't know. I have never hit any kind of problems or limits because of that since I'm not using AI over a long term project. I use it for small, concise cases and that's it.