#llama3 출시🔥 로컬에서 Llama3-8B 모델 돌려보기👀

2 min read 6 months ago
Published on Apr 22, 2024 This response is partially generated with the help of AI. It may contain inaccuracies.

Table of Contents

Tutorial: Exploring the Llama3-8B Model Locally

Video Title: #llama3 출시🔥 로컬에서 Llama3-8B 모델 돌려보기👀

Channel: 테디노트 TeddyNote


Overview:

In this tutorial, we will guide you through the process of running and exploring the Llama3-8B model locally. The video showcases how to use the model effectively and provides valuable insights into its capabilities.

Steps to Follow:

  1. Access the Resources:

    • Access the manual for the Llama3-8B model here.
    • Find the code repository on GitHub here.
    • Explore the free e-book tutorial on LangChain here.
    • Visit the LangChain Korean tutorial code repository on GitHub here.
  2. Preparation:

    • Make sure you have Python installed on your local machine.
    • Install the necessary libraries and dependencies as mentioned in the manual or code repository.
  3. Run the Llama3-8B Model:

    • Clone or download the Llama3-8B model code from the GitHub repository.
    • Follow the instructions provided in the manual to set up the model locally.
    • Run the code and explore the functionalities of the Llama3-8B model.
  4. Further Learning:

    • Explore the LLM project on llm.teddynote.com for additional resources.
    • Stay updated on tutorials and projects by following the TeddyNote channel.
  5. Engage and Learn:

    • Participate in the LangChain + ChatGPT + Streamlit course by pre-registering here for notifications and discounts.

Conclusion:

By following these steps, you can successfully run and explore the Llama3-8B model locally. Utilize the provided resources to enhance your understanding of the model and stay informed about upcoming tutorials and projects in the field of language processing.