QLoRA fine-tuning on ~1700 examples internalizes tool knowledge in Gemma-4B and Qwen3-4B, enabling description-free inference that cuts input length by 82.6% and raises planning scores above an informed baseline.
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 ~1700 examples internalizes tool knowledge in Gemma-4B and Qwen3-4B, enabling description-free inference that cuts input length by 82.6% and raises planning scores above an informed baseline.