Code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark. Our codebase is built upon AutoGPTQ. Large Language Models (LLMs) have become foundational in the realm of ...
Smart Framing - Detect person(s) / face(s) in a scene, and automatically crop / center / resize around the subjects of interest. Background Concealment – Segment a person in the foreground from ...
Abstract: With the prevailing Mixture-of-Experts (MoE) architecture pushing the performance of Large Language Models (LLMs) to new limits, fine-tuning MoE models presents a significant challenge due ...
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