QLoRA fine-tuning on tool-use data enables 4B-parameter models to perform structured planning without tool catalogs in prompts, outperforming informed baselines on AssetOpsBench while reducing input length by 82.6%.
QLoRA: Efficient Finetuning of Quantized LLMs
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Internalizing Tool Knowledge in Small Language Models via QLoRA Fine-Tuning
QLoRA fine-tuning on tool-use data enables 4B-parameter models to perform structured planning without tool catalogs in prompts, outperforming informed baselines on AssetOpsBench while reducing input length by 82.6%.