Nightly LoRA consolidation retains 80.4% of knowledge vs 36.8% for cascading compaction across 10 conversations with 1146 test questions.
Democratizing large language models via personalized parameter-efficient fine-tuning
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Beyond Inference-Only Deployment: Comparing Weight-Based Consolidation Against Cascading Compaction
Nightly LoRA consolidation retains 80.4% of knowledge vs 36.8% for cascading compaction across 10 conversations with 1146 test questions.