![]() |
|
distillation that keeps useful behavior: setup advice - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Harnesses, Agents & Orchestration (https://www.datasculpting.ai/inference/forumdisplay.php?fid=11) +--- Forum: Agents (https://www.datasculpting.ai/inference/forumdisplay.php?fid=44) +--- Thread: distillation that keeps useful behavior: setup advice (/showthread.php?tid=1217) |
distillation that keeps useful behavior: setup advice - batchscope72 - 10-15-2026 Thought I'd post a small recipe because a lot of threads ask similar things. This isn't revolutionary, but the combination of TensorRT-LLM and A6000 felt surprisingly usable once I tuned around speculative decoding. If someone wants the exact settings I can clean them up and post them. Re: distillation that keeps useful behavior: setup advice - northquill - 10-15-2026 A couple things I'd check first. Before rebuilding anything, I'd test one clean baseline with Gemma and compare from there. Not glamorous advice, but repeatable baselines save a lot of time. Re: distillation that keeps useful behavior: setup advice - thetagrid15 - 10-17-2026 Not sure I agree there. I get why that seems right, but on A6000 the bottleneck felt elsewhere. Could be a workload difference, but I wouldn't generalize too fast from one setup. |