roosgit
Joined 7 years ago
Joined 7 years ago
A few days earlier, I got an alert that the same aocr.org was possibly hotlinking some image. Again, checking the logs on my image server showed that it was just some bot crawling images and using the aforementioned website as referrer.
The 14B Q4_K_M needs 9GB, but Q3_K_M is 7.3GB. But you also need some room for context. Still, maybe using `--override-tensor` in llama.cpp would get you a 50% improvement over "naively" offloading layers to the GPU. Or possibly GPT-OSS-20B. It's 12.1GB in MXFP4, but it’s a MOE model so only a part of it would need to be on the GPU. On my dedicated 12GB 3060 it runs at 85 t/s, with a smallish context. I've also read on Reddit some claims that Qwen3 4B 2507 might be better than 8B, because Qwen never released a "2507" update for 8B.
Still I thought it was a pretty unclassy move.