feat(benchmarks): implement core PyTorch benchmark suite for Quadtrix

Introduces the primary Python benchmark runner, measuring model metadata, data throughput, forward latency, training-step latency, and autoregressive generation. Includes utility functions for dynamic module loading, timing, and percentile calculation.

Author: Eamon2009