"Adaptive Hybrid Quantization Framework for deploying 7B+ LLMs on low-VRAM devices (e.g., GTX 1050). Features surgical block alignment and Numba-accelerated inference.

Performance Comparison of QKV Attention Mechanism with ARM SVE and SME Acceleration in gem5

Wang's Three Laws of LLM Attention — A reproducible spectral theory that predicts reasoning ability from static weights alone.

🚀 Run modern 7B LLMs on legacy 4GB GPUs without crashes, breaking the VRAM barrier for developers facing GPU limitations.