LLM's Weight Quantization Explained
This video introduces weight quantization and demonstrates how to reduce the size of large language models using 8-bit quantization. The notebook includes code for absmax and zeropoint quantization, as well as generating text and calculating perplexity for both the original and quantized models. The notebook also includes code for loading a pre-trained model in 8-bit format and comparing the dequantized weights to the original weights.
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This tutorial is based on Jupyter notebook: https://github.com/mlabonne/llm-cours...
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