i want flowing cheese! lol

Different chips can be used for training but as I said it's driver hell and much easier to just use Nvidia. As time goes on different vendors are catching up to Nvidia but I still think they're having a hard time with it. Chinese companies aren't still buying Nvidia because they love paying ludicrous rates for a tiny bit of extra VRAM on a GPU chip that's basically the same as the gaming one.

I appreciate that, but I hate the fact! Thank you for sharing

I feel like you definitely can get away with as much as even 5, but if you actually look at the CLI, it will tell you how many draft tokens actually got accepted. In some situations like writing simple text, over 90% of my two draft tokens get accepted so setting it to five would have made it faster. However if you run a task which requires heavy reasoning, even two draft tokens start approaching close to only 60%. Considering Qwen3.8-27B overthinks more than an anxious teenage girl, you should generally with two. If you take my example with the quant dropped to UD-Q5_K_XL with 262K tokens and reasoning low for a task that isn't actually complex, just long, then go right ahead and let it run with 5.

Was it written by AI?

That's fixing the symptoms, not the problem. You shouldn't be forced to work more than 40 hours to begin with.

Query for none technicals. A shopping list you bring to the warehouse to be given all you requested for pickup.