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Tagged “model-merging”

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All Model Architecture19 Training & Alignment22 Inference & Serving18 Agents & Orchestration11 Reasoning & Evaluation26 Safety, Security & Governance7 Platforms & Practice20
Training & Alignment 27 min

Model Merging: Why Averaging Weights Works, and Where the Free Lunch Ends

Three 7B models that each scored under 30% on Japanese maths were averaged into one that scored 52%. No gradient was computed. Weight-space arithmetic is the cheapest capability gain in the field and the easiest one to fool yours…

model-merging fine-tuning task-vectors peft ∑ ◫
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