3 sessions on peft with a coding agent: the agent failed at least once in 2, and 1 finished without a human stepping in.
Takeaway: I'd frame this upfront as a single research brief instead of firing off 250+ standalone questions, since the assistant kept resetting context and repeating boilerplate advice rather than building on prior answers.
Takeaway: Next time I'd start by checking the model's actual transformers/peft requirements against unsloth's supported range before writing any training code — that single incompatibility cost the whole first hour.
Takeaway: Next time I'd start by checking the app's actual inference stack (llama-cpp-python, not vLLM) before pushing any model format, since that assumption cost a lot of back-and-forth on GGUF conversion that turned out to be a dead end for MiniCPM-V-4.6.