LLM Inference
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
🔬Deep Learning Content type: CodeFine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
🎯Fine-tuning Content type: AcademicLess-relevant results
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