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model merge got better or just different - Printable Version +- 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=243) Pages:
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Re: model merge got better or just different - thetatinker77 - 09-15-2026 I'd approach it in a boring order. Before rebuilding anything, I'd test one clean baseline with Mixtral and compare from there. Re: model merge got better or just different - bytestack - 09-15-2026 That matches what I was seeing. I ended up in about the same place using MLX. Re: model merge got better or just different - mangohouse - 09-15-2026 I'd approach it in a boring order. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at MoE serving. Once you know the plain path works, then add the faster path back in piece by piece. Re: model merge got better or just different - rocmstack25 - 09-15-2026 Quote:I'd approach it in a boring order. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at MoE serving. Once you kn Ran a quick check on my box. The issue went away once I changed one setting and restarted the stack cleanly. Re: model merge got better or just different - cacheline - 09-15-2026 What worked for me was pretty simple. If you're on TensorRT-LLM, I'd confirm the version first and then reduce variables until the behavior is obvious. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it. |