Graph Neural Networks
bigattichouse/packed-twin-inference: PTI achieves ~2× throughput using a single quantized model (Q5_K_M or better) by running 4 generation streams in one batched decode call. The GPU loads model weights once per step and produces 4 predictions simultaneously. KV cache overhead is ~0.8 GiB total for all 4 streams. No draft model. No quality loss
🔮ML Content type: CodeScalable Boltzmann generators for equilibrium sampling of large-scale materials
🧠Deep Learning Content type: AcademicLess-relevant results