+- Inference (https://www.datasculpting.ai/inference)
+-- Forum: Harnesses, Agents & Orchestration (https://www.datasculpting.ai/inference/forumdisplay.php?fid=11)
+--- Forum: MCP / APIs / Tool Calling (https://www.datasculpting.ai/inference/forumdisplay.php?fid=46)
+--- Thread: model merge got better or just different (/showthread.php?tid=728)
model merge got better or just different - quiettoken - 10-03-2026
Thought I'd post a small recipe because a lot of threads ask similar things.
Maybe useful as a starting point: TensorRT-LLM on 7900 XTX, keeping MoE serving in mind from the start.
If someone wants the exact settings I can clean them up and post them.
I care more about stability than squeezing the last possible tokens/sec out of it.
Re: model merge got better or just different - pixelspark - 10-06-2026
Maybe, but I had the opposite result. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. Not saying you're wrong, just that I wouldn't lock that in as the lesson yet.
Re: model merge got better or just different - nanopatch - 10-06-2026
I'd approach it in a boring order. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at tail latency.