optimum-neuron/pr_1113/en/_app/immutable/nodes/52.0c7d06c7.js

import{s as G,n as J,o as K}from"../chunks/scheduler.56725da7.js";import{S as N,i as X,e as m,s as a,c as H,h as Y,a as l,d as i,b as r,f as U,g as j,j as w,k as O,v as x,l as Z,m as e,n as A,t as F,o as R,p as E}from"../chunks/index.18a26576.js";import{C as tt}from"../chunks/CopyLLMTxtMenu.c5feff19.js";import{H as V}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.0f5f04c9.js";function nt(W){let p,v,b,k,s,_,d,$,g,q="Learn how to run and fine-tune models for optimal performance with AWS Trainium.",L,o,B='<a href="./finetune_llama" style="text-decoration: none !important; color: inherit !important; display: block !important;"><div style="border-radius: 8px !important; background-color: white !important; box-shadow: 0 2px 8px rgba(0,0,0,0.1) !important; transition: all 0.3s ease-in-out !important; cursor: pointer !important; display: flex !important; flex-direction: column !important; height: 280px !important; width: 100% !important; border: none !important;"><div style="height: 180px !important; width: 100% !important; background: linear-gradient(135deg, #FF6B35 0%, #F7931E 100%) !important; display: flex !important; align-items: center !important; justify-content: center !important; position: relative !important; border: none !important; margin: 0 !important; padding: 0 !important; border-radius: 8px 8px 0 0 !important; overflow: hidden !important;"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/optimum/neuron/training_tutorials/llama-logo.png" alt="Llama 3" style="width: 100% !important; height: 100% !important; object-fit: cover !important; border: none !important; border-radius: 8px 8px 0 0 !important;"/></div> <div class="card-content" style="padding: 20px !important; background: white !important; background-image: linear-gradient(90deg, transparent 0%, #f8f9fa 50%, #e9ecef 100%) !important; background-size: 200% 100% !important; background-position: 100% 0 !important; transition: background-position 0.4s ease-out !important; width: 100% !important; box-sizing: border-box !important; flex: 1 !important; border: none !important; margin: 0 !important; border-radius: 0 0 8px 8px !important;"><h3 style="margin: 0 0 8px 0 !important; font-size: 18px !important; font-weight: 600 !important; color: #24292e !important;">Llama 3.1</h3> <p style="margin: 0 !important; font-size: 14px !important; color: #586069 !important; line-height: 1.4 !important;">Instruction Fine-tuning of Llama 3.1 8B with LoRA on the Dolly dataset</p></div></div></a> <a href="./finetune_qwen3" style="text-decoration: none !important; color: inherit !important; display: block !important;"><div style="border-radius: 8px !important; background-color: white !important; box-shadow: 0 2px 8px rgba(0,0,0,0.1) !important; transition: all 0.3s ease-in-out !important; cursor: pointer !important; display: flex !important; flex-direction: column !important; height: 280px !important; width: 100% !important; border: none !important;"><div style="height: 180px !important; width: 100% !important; background: linear-gradient(135deg, #faf5ff 0%, #f3e8ff 100%) !important; display: flex !important; align-items: center !important; justify-content: center !important; position: relative !important; border: none !important; margin: 0 !important; padding: 0 !important; border-radius: 8px 8px 0 0 !important; overflow: hidden !important;"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/optimum/neuron/training_tutorials/qwen3-logo.png" alt="Qwen3" style="width: 100% !important; height: 100% !important; object-fit: cover !important; border: none !important; border-radius: 8px 8px 0 0 !important;"/></div> <div class="card-content" style="padding: 20px !important; background: white !important; background-image: linear-gradient(90deg, transparent 0%, #f8f9fa 50%, #e9ecef 100%) !important; background-size: 200% 100% !important; background-position: 100% 0 !important; transition: background-position 0.4s ease-out !important; width: 100% !important; box-sizing: border-box !important; flex: 1 !important; border: none !important; margin: 0 !important; border-radius: 0 0 8px 8px !important;"><h3 style="margin: 0 0 8px 0 !important; font-size: 18px !important; font-weight: 600 !important; color: #24292e !important;">Qwen3</h3> <p style="margin: 0 !important; font-size: 14px !important; color: #586069 !important; line-height: 1.4 !important;">Fine-tune Qwen3 8B with LoRA on the Simple Recipes dataset</p></div></div></a> <a href="./pretraining_hyperpod_llm" style="text-decoration: none !important; color: inherit !important; display: block !important;"><div style="border-radius: 8px !important; background-color: white !important; box-shadow: 0 2px 8px rgba(0,0,0,0.1) !important; transition: all 0.3s ease-in-out !important; cursor: pointer !important; display: flex !important; flex-direction: column !important; height: 280px !important; width: 100% !important; border: none !important;"><div style="height: 180px !important; width: 100% !important; background: linear-gradient(135deg, #059669 0%, #0891b2 100%) !important; display: flex !important; align-items: center !important; justify-content: center !important; position: relative !important; border: none !important; margin: 0 !important; padding: 0 !important; border-radius: 8px 8px 0 0 !important; overflow: hidden !important;"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/optimum/neuron/training_tutorials/sagemaker-logo.png" alt="SageMaker Hyperpod" style="width: 100% !important; height: 100% !important; object-fit: cover !important; border: none !important; border-radius: 8px 8px 0 0 !important;"/></div> <div class="card-content" style="padding: 20px !important; background: white !important; background-image: linear-gradient(90deg, transparent 0%, #f8f9fa 50%, #e9ecef 100%) !important; background-size: 200% 100% !important; background-position: 100% 0 !important; transition: background-position 0.4s ease-out !important; width: 100% !important; box-sizing: border-box !important; flex: 1 !important; border: none !important; margin: 0 !important; border-radius: 0 0 8px 8px !important;"><h3 style="margin: 0 0 8px 0 !important; font-size: 18px !important; font-weight: 600 !important; color: #24292e !important;">Llama 3.2 on SageMaker</h3> <p style="margin: 0 !important; font-size: 14px !important; color: #586069 !important; line-height: 1.4 !important;">Continuous Pretraining of Llama 3.2 1B on SageMaker Hyperpod</p></div></div></a>',C,u,z,c,D="These tutorials will guide you through the complete process of fine-tuning large language models on AWS Trainium:",M,f,Q="<li><strong>📊 Data Preparation</strong>: Load and preprocess datasets for supervised fine-tuning</li> <li><strong>🔧 Model Configuration</strong>: Set up LoRA adapters and distributed training parameters</li> <li><strong>⚡ Training Optimization</strong>: Leverage tensor parallelism, gradient checkpointing, and mixed precision</li> <li><strong>💾 Checkpoint Management</strong>: Consolidate and merge model checkpoints for deployment</li> <li><strong>🚀 Model Deployment</strong>: Export and test your fine-tuned models for inference</li>",T,h,I="Choose the tutorial that best fits your use case and start fine-tuning your LLMs on AWS Trainium today!",S,y,P;return s=new tt({props:{containerStyle:"float: right; 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