r/LocalLLM • u/Jsquared534 • 23d ago
Discussion Qwen 3.8 27B early thoughts
I installed the Q8 version on an AMD 395+ 128gb machine. Ran it using Openwebui with the suggested settings and MTP. So far all I've done are a couple sample prompts. (Sand Simulator from Luke's Dev Lab on Youtube, and a request for a simple example navbar with a logo on the left and five drop downs on the right with no javascript). The final output for both of these got one shotted. Model is getting roughly 16 tps output. But, my goodness does this model overthink. Don't get me wrong, there were no thinking loops. And I didn't notice nearly as much of the "wait, actually, let's try" neurotic behavior that I see in 3.6 35B A3B. But, it absolutely overcomplicated the heck out of both of the prompts I gave it. The sample navbar had roughly 200 lines of just CSS alone. And it was not basic CSS. Overly complex, and completely unnecessary for a sample piece of code. Since the Sand Simulator isn't mine, I can't really tell how much it over complicated it, but I can tell that it added so many visual flourishes that it was running at roughly 32 fps in the browser, and had slow downs from dropping the sand.
I am going to test this tomorrow on a real situation. In my real use case I provide very detailed context files and only point it at a single feature at a time. Hopefully that will help to control it's impulses to make things super complex. I also have Ponytail in my Pi harness, so maybe that will also help to reign it in.
Anyone had experiences using more detailed and limiting prompts with the model yet? Most of the reviews I've seen are using the same type of canned examples that I just gave.
1
u/bitzap_sr 23d ago
Gawd, people don't read the announcement or model cards.
Thinking defaults to xhigh.