FareedKhan-dev/Building-llama3-from-scratch

LLaMA 3 is one of the most promising open-source model after Mistral, we will recreate it's architecture in a simpler manner.

/ 100

Emerging

This project helps machine learning engineers and researchers understand the inner workings of large language models by guiding them through the process of building a LLaMA 3-like model from scratch. It takes foundational knowledge of neural networks and Transformer architecture as input, and outputs a working, simplified implementation of LLaMA 3. This is ideal for those looking to demystify how these advanced models are constructed.

203 stars. No commits in the last 6 months.

Use this if you want to learn the practical steps of implementing a large language model architecture like LLaMA 3, focusing on its core components without needing a GPU.

Not ideal if you are looking for a pre-trained model to use directly, or if you do not have at least 17GB of RAM available for processing the model files.

large-language-models deep-learning-architecture natural-language-processing machine-learning-engineering

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 8 / 25

Community 22 / 25

How are scores calculated?

Stars

203

Forks

Language

Jupyter Notebook

License

—

Higher-rated alternatives

Lightning-AI/litgpt

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

liangyuwang/Tiny-DeepSpeed

Tiny-DeepSpeed, a minimalistic re-implementation of the DeepSpeed library

catherinesyeh/attention-viz

Visualizing query-key interactions in language + vision transformers (VIS 2023)

microsoft/Text2Grad

🚀 Text2Grad: Converting natural language feedback into gradient signals for precise model...

huangjia2019/llm-gpt

From classic NLP to modern LLMs: building language models step by step. 异步图书：《 GPT图解大模型是怎样构建的》-...

Explore LLM Tools

All categories Trending LLM Tool directory Insights