Fine-Tuning Small Language Models for Reliable VASP INCAR Generation
It is found that model size matters less than expected: once fine-tuning and post-processing are applied, performance saturates at a few billion parameters, and Qwen3-4B outperforms larger models in the same family.
Xin-Yu Zhang, Ji-Xiang Li, Bin Shao et al.
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