A Detailed Guide to QLoRA Quantization and Fine-Tuning Using Llama 3(Development of Large Model Applications 15)
Discover Meta AI's powerful open-source Llama 3 model with up to 70B parameters, optimized by QLoRA for efficient deployment in resource-constrained environments.
Hello everyone, welcome to the "Development of Large Model Applications" column.
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In the last class, we used the Qwen model to explore basic methods for efficient fine-tuning of large language model parameters. We focused on the popular LoRA technology and used the PEFT framework to fine-tune the Qwen model with Chinese data in the Alpaca style.
However, some points were not thoroughly explained, such as the mathematical principles behind LoRA and other techniques for compressing large models during fine-tuning. This time, we'll switch to another model, Llama 3, the king of open-source LLMs, to discuss fine-tuning and quantization.
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