RLHF — Reinforcement learning from human feedback — training a model to prefer answers humans rate as better, which turns a raw text predictor into a usable assistant.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
Why it matters
A merged-and-RLHFReinforcement learning from human feedback — training a model to prefer answers humans rate as better, which turns a raw text predictor into a usable assistant.Full definition →'d Qwen2-72B derivative released with GGUF weights and evaluated on the OpenLLM Leaderboard 2.0 stack, offering a datapoint on how far merging plus post-training carries an open base.
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