which settings are worth changing when a local model runs Hermes Agent, and which change…
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which settings are worth changing when a local model runs Hermes Agent, and which change nothing you can measure? Qwen3.8-27B on one 32 GB RTX 5090, one setting per run, the same 100 multi-turn tool-call tasks every time. the clip runs one Hermes Agent task twice on the same model, thinking on and then thinking off, shown side by side. thinking off finished in 8.6 s and thinking on in 18.6 s. - 128k context fits: 29.4 GiB of the card's 31.8 with the default f16 cache, 26.1 with q8_0 - q8_0 KV cache: 78 of 100 tasks against 81, no measurable difference - thinking off: 80 against 81, no measur
Posted by witcheer (22.8k followers) 1 days ago · 32 likes · 2.6k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: llm-bench-rig.
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