

Cool, page assist looks neat I’ll have to check it out sometimes. My llm engine is kobold.cpp, and I just user the openwebui in internet browser to connect.
Sorry I don’t really have good suggestions for you beyond to just try some of the more popular 1-4bs in a very high quant if not full f8 and see which works best for your use case.
Llama 4b, mistral 4b, phi-3-mini, tinyllm 1.5b, qwen 2-1.5b, ect ect. I assume you want a model with large context size and good comprehension skills to summarize youtube transcripts and webpage articles? At least I think thats what the add-on you mentioned suggested was its purpose.
So look for models with those things over ones that try to specialize in a little bit of domain knowledge.
I just spent a good few hours optimizing my LLM rig. Disabling the graphical interface to squeeze 150mb of vram from xorg, setting programs cpu niceness to highest priority, tweaking settings to find memory limits.
I was able to increase the token speed by half a second while doubling context size. I don’t have the budget for any big vram upgrade so I’m trying to make the most of what ive got.
I have two desktop computers. One has better ram+CPU+overclocking but worse GPU. The other has better GPU but worse ram, CPU, no overclocking. I’m contemplating whether its worth swapping GPUs to really make the most of available hardware. Its bee years since I took apart a PC and I’m scared of doing somthing wrong and damaging everything. I dunno if its worth the time, effort, and risk for the squeeze.
Otherwise I’m loving my self hosting llm hobby. Ive been very into l learning computers and ML for the past year. Crazy advancements, exciting stuff.