#quantization
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· Quantization of LLMs
The escalating complexity and scale of large language models (LLMs) have introduced substantial challenges concerning computational demands and resource allocation. These models, often comprising hundreds of billions of parameters, necessitate extensive memory and processing capabilities, making their deployment and real-time inference both costly and impractical for widespread use.