adalkiran/llama-nuts-and-bolts
A holistic way of understanding how Llama and its components run in practice, with code and detailed documentation.
This project offers a deep dive into the inner workings of the Llama 3.1 8B-Instruct large language model. It allows you to feed in text prompts and observe how the model processes them to generate responses, all without relying on typical machine learning libraries. It's designed for machine learning engineers, researchers, or anyone curious about the fundamental mechanics of LLMs.
317 stars. No commits in the last 6 months.
Use this if you want to understand the exact mathematical operations and architectural components that power the Llama 3.1 model, moving beyond high-level concepts.
Not ideal if you need a high-performance, production-ready LLM inference solution or if you are looking to integrate LLMs into an application quickly.
Stars
317
Forks
16
Language
Go
License
Apache-2.0
Category
Last pushed
Aug 20, 2024
Commits (30d)
0
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