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Shresth Mishra

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Conference Open access 2026

PE-QAT: Parameter-Efficient Quantization-Aware Training for Large Language Models

PE-QAT is introduced, a parameter-efficient framework targeting per-channel 4-bit weight-activation quantization of LLMs, which aims to preserve model accuracy while significantly reducing resource requirements and mitigate the impact of severe activation outliers.

Shresth Mishra · 0 citations

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