Implement Llama 3 From Scratch - PyTorch
We will implement Llama 3 from scratch using PyTorch and generate a sample text with it! This is the annotated Llama. GitHub below ↓
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Since all Llama models are built on top of each other, you can also use this for your other Llama implementations.
GitHub Link of the Code
https://github.com/uygarkurt/Llama-3-...
Llama 3 is introduced in the paper: "The Llama 3 Herd of Models"
https://arxiv.org/abs/2407.21783
Meta Website to Download Llama 3 Weights
https://www.llama.com/llama-downloads/
Meta's Official Implementation
https://github.com/meta-llama/llama3
What should I implement next? Let me know in the comments!
00:00:00 Introduction
00:00:56 Download Llama 3 Weights
00:01:34 Llama 3 Architecture Overview
00:04:35 Imports
00:06:46 Hyperparameter Definitions
00:13:40 RMSNorm & RoPE
00:14:19 Feed Forward SwiGLU
00:20:29 Grouped Query Attention (GQA) With KV Cache
00:38:22 Transformer Block
00:44:40 Transformer (Llama Model)
00:56:30 Text Generation
01:00:20 Outro
Buy me a coffee! ☕️
https://ko-fi.com/uygarkurt
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