Adapters for the paper "QLoRA Fine-Tuning for Theory-of-Mind Reasoning in a 3B-Parameter Small Language Model: A ToMBench-Based Cross-Benchmark Generalization Study" (Applied Sciences, under revision). Base model: unsloth/Qwen2.5-3B-Instruct-bnb-4bit. QLoRA, r = 16, α = 16, dropout 0. Use the pinned environment in the code repository (requirements.lock.txt) and greedy decoding with the system prompt in the repository's notebook. Loading the same weights with PeftModel.frompretrained changes about 1.4% of predictions (all near-ties); see Section 4.9 of the paper. Under cyclic permutation of the answer options (five seeds), the item-level adapters lower SocialIQa accuracy (−4.14 points); the…
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Hong ji hyeong
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