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Found 2 papers, 2 papers with code
LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models
Recent advancements in large language models (LLMs) are propelling us toward artificial general intelligence, thanks to their remarkable emergent abilities and reasoning capabilities.
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
Remarkably, our quantization approach, for the first time, achieves model performance nearly on par with the full-precision model under 4-bit weight quantization.
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