Using a Radeon 9060 XT 16 GB, the gemma4 24b a4b iq4 nl model achieves 25.9 t/s

I'm testing running local LLMs on a gaming mini PC (AMD 7840HS, 32 GB RAM) paired with an eGPU (Radeon 9060XT with 16 GB VRAM). Since I'm not very familiar with using llama.cpp, I kept getting unsatisfactory results, but with the recent Gemma4 24B A4B IQ4 NL model I finally reached 25.9 t/s. I even connected it to OpenCode and tried asking questions from my codebase, and it seems usable at this level.

llama-server -hf unsloth/gemma-4-26B-A4B-it-GGUF:UD-IQ4_NL --fit on --fit-ctx 128000 --fit-target 256 -np 1 -fa on --no-mmap --mlock --threads 8 -b 512 -ub 256 -ctk q8_0 -ctv q8_0 --temp 0.6 --top-p 0.95 --top-k 20 --min-p 0.0 --presence-penalty 0.0 --repeat-penalty 1.0 --reasoning-budget -1 

This is the result of using it this way.

Increase -b and -ub any further, it won't even load. Are there any unnecessary arguments or arguments that could be optimized?

Thanks.