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Muhammad Maroof

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#small language model Open access Sep 2026

QuerySmith: Fine-Tuning Phi-4-mini for Text-to-SQL Generation with CPU-Efficient Partial-Residual Quantization

Overview Large language models fine-tuned for text-to-SQL generation are typically evaluated and deployed assuming GPU inference, which limits their use in resource-constrained or on-premise settings where only CPU hardware is available. This work makes two contributions: Fine-tuning Phi-4-mini-instruct (3.8B params, d...

Muhammad Maroof · 0 citations
#small language model Open access Sep 2026

QuerySmith: Fine-Tuning Phi-4-mini for Text-to-SQL Generation with CPU-Efficient Partial-Residual Quantization

Overview Large language models fine-tuned for text-to-SQL generation are typically evaluated and deployed assuming GPU inference, which limits their use in resource-constrained or on-premise settings where only CPU hardware is available. This work makes two contributions: Fine-tuning Phi-4-mini-instruct (3.8B params, d...

Muhammad Maroof · 0 citations

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