Accelerating LLaMA with Fabric: A Comprehensive Guide to Training and Fine-Tuning LLaMA - Lightning AI

What is LLaMA 🦙 LLaMA is a foundational large language model that has been released by Meta AI. LLaMA comes in four size variants: 7B, 13B, 33B, and 65B parameters. The paper shows that training smaller foundation models on large enough tokens is desirable, as it requires less computing power and resources. The 65B parameter... Read more »

Takeaways In this tutorial, we will learn how to train and fine-tune LLaMA (Large Language Model Meta AI). Lit-LLaMA, a rewrite of LLaMA, can run inference on an 8 GB consumer GPU. We will also discover how it utilizes Lightning Fabric to accelerate the PyTorch code. What is LLaMA 🦙 LLaMA is a foundational large language model that has been released by Meta AI. LLaMA comes in four size variants: 7B, 13B, 33B, and 65B parameters. The paper shows that training smaller foundation models on large enough tokens is desirable, as it requires less computing power and resources. The 65B parameter mode

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