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Fine-Tuning LLaMA 70B Using Hugging Face Accelerate & DeepSpeed on Multiple Nodes / Blogs / Perficient
by Luis Pacheco, Uday Yallapragada and Cristian Muñoz Large language models (LLMs) like Meta’s LLaMA 70B are revolutionizing natural language processing tasks, but training or fine-tuning them requires massive computational and memory resources. To address these challenges, we employ distributed training across multiple GPU nodes using DeepSpeed and Hugging Face Accelerate. This blog walks you […]
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Fine-Tuning LLaMA 70B Using Hugging Face Accelerate & DeepSpeed on Multiple Nodes / Blogs / Perficient
by Luis Pacheco, Uday Yallapragada and Cristian Muñoz Large language models (LLMs) like Meta’s LLaMA 70B are revolutionizing natural language processing tasks, but training or fine-tuning them requires massive computational and memory resources. To address these challenges, we employ distributed training across multiple GPU nodes using DeepSpeed and Hugging Face Accelerate. This blog walks you […]
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Fine-Tuning LLaMA 70B Using Hugging Face Accelerate & DeepSpeed on Multiple Nodes / Blogs / Perficient
by Luis Pacheco, Uday Yallapragada and Cristian Muñoz Large language models (LLMs) like Meta’s LLaMA 70B are revolutionizing natural language processing tasks, but training or fine-tuning them requires massive computational and memory resources. To address these challenges, we employ distributed training across multiple GPU nodes using DeepSpeed and Hugging Face Accelerate. This blog walks you […]
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- og:descriptionby Luis Pacheco, Uday Yallapragada and Cristian Muñoz Large language models (LLMs) like Meta’s LLaMA 70B are revolutionizing natural language processing tasks, but training or fine-tuning them requires massive computational and memory resources. To address these challenges, we employ distributed training across multiple GPU nodes using DeepSpeed and Hugging Face Accelerate. This blog walks you […]
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