Step-by-step guide on how to setup and run Llama-2 model locally

In this video we look at how to run Llama-2-7b model through hugginface and other nuances around it:

1. Getting Access to Llama Model via Meta and Hugging Face:
Learn how to obtain access to the Llama language model through Meta and Hugging Face platforms.

2. Downloading and Running Llama-2-7b Locally:
Follow step-by-step instructions on downloading the llama-2-7b model and running it on your local machine.

3. Tokenizing and Inputting Sentences:
Understand the process of tokenizing and inputting sentences for next-word prediction tasks using the Llama model.

4. Controlling Temperature Parameter:
Explore techniques for adjusting the temperature parameter to influence the creativity of Llama's output.

5. Challenges in the Base LLM Model:
Identify and address potential challenges and limitations associated with the base Llama language model and why one would go for fine-tuned model.

6. Choosing the Best Performing LLM:
Stay informed on how to check for the latest and best-performing Llama language models, ensuring optimal results for your tasks.

References and Links:

Previous Video on LLM concepts:    • A basic introduction to LLM | Ideas b...  

Code: https://github.com/oppasource/ycopie/...

Llama 2 paper: https://arxiv.org/pdf/2307.09288.pdf

Huggingface: https://huggingface.co

Open LLM Leaderboard: https://huggingface.co/spaces/Hugging...

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