Correctly Install and Use Llama 3.1 LLM in Python on a Local Computer - Complete Tutorial

#meta #llm #llama #llama31 #lamma3 #ai #machinelearning #largelanguagemodels
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In this Large Language Model (LLM) tutorial, we explain how to install and use Llama 3.1 in Python and Windows on a local computer.

Background information: Llama is a family of LLMs released by Meta AI (Formerly Facebook). The newest version of Llama is Llama 3.1, and according to the tests it outperforms other LLMs. Also, smaller models can be run locally on a computer. By the end of this tutorial, you will be able to write a Llama script in Python on your local machine, and the script will be able to provide you with intelligent and AI-generated answers.

[aleksandarhaber]

It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way:
- You Can also press the Thanks YouTube Dollar button
If you need help with your professional engineering problem, or you need to develop new skills in the fields of control, signal processing, embedded systems, programming, optimization, machine learning, robotics, etc., we are here to help. We provide engineering services, as well as tutoring and skill development services. We have significant industry, research, and university-level teaching experience. Describe your problem and we will send you a quote for our services.

[aleksandarhaber]

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[aleksandarhaber]

Here is an alternative tutorial for installing Llama 3.1 in Python:
That tutorial does not use Conda/Anaconda virtual environments, and instead used pure Python virtual environments. We also explain how to fix the problem with:
The specified module could not be found. Error loading or one of its dependencies.
The solution is to install Visual Studio C++ Community Editon 2022 before installing Pytorch

[billlynch]

this helps a lot. but why did Conda instead of pip? Does it not install properly using pip? Also you misspelled Orange. If you correctly type in Orange, would you have gotten a different response?

[iceenderwar]

thanks a lot for the tutorial
btw can you please recommend some videos or articles about Llama31 optimization and training? At least where i can start

[pjvdqoq]

hie .. great tutorial .. could be nice if you also gave a link to document to copy command etc..

[CalmRelaxMore]

Thank you alexandar! How can I use it in a jupitor notebook in python?