Update README.md

README.md

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 ## 1. Introduction
 
-**Alpie Core is one of the first fine-tuned 4-bit reasoning models from India, and among one of the first worldwide.** Trained on just 8 Hopper GPUs with LoRA, QLoRA quantization, and synthetic STEM-rich dataset distillation, it proves that aggressive quantization can not only match but also surpass full-precision baselines.
+**Alpie Core is one of the first fine-tuned 4-bit reasoning models from India, and among one of the first worldwide.** Trained on just 8 Hopper GPUs using LoRA for parameter-efficient fine-tuning, combined with QLoRA 4-bit quantization, and synthetic STEM-rich dataset distillation, it proves that aggressive quantization can not only match but also surpass full-precision baselines.
 
 With a dramatically reduced memory footprint, Alpie Core delivers competitive, frontier-level reasoning performance, even beating some top proprietary models. It achieves **81.28% on MMLU, 92.75% on GSM8K, and 57.8% on SWE-Bench Verified**, ranking top globally on competitive leaderboards, a demonstration that efficient models can rival frontier systems while remaining practical for real-world deployment at scale.