meta-llama / llama3

The official Meta Llama 3 GitHub site
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How can I use it in smart phone? #302

Open yhnz1234 opened 2 months ago

yhnz1234 commented 2 months ago

What tools can I use?

ChiruChirag commented 2 months ago

To use LLAMA3 on a smartphone, you can follow these steps and use the following tools:

  1. Web-Based Interface:

    • One of the simplest ways to use LLAMA3 on a smartphone is through a web-based interface. If there's a web application that interfaces with LLAMA3, you can access it via a mobile browser.
  2. Mobile Apps:

    • Look for mobile apps that integrate with LLAMA3. Some apps might offer API integration with LLAMA3, allowing you to use its capabilities directly on your smartphone.
  3. Develop Your Own Mobile App:

    • If you are a developer, you can create a mobile app that utilizes LLAMA3. Here's a high-level overview of the steps:
      • Backend API: Set up a backend server that runs LLAMA3 and exposes its functionalities through an API.
      • Mobile App: Develop a mobile app using frameworks like React Native, Flutter, or native Android/iOS development. The app can make API calls to your backend server to interact with LLAMA3.
      • Hosting: Host your backend server on a cloud platform like AWS, Google Cloud, or Heroku to make it accessible from anywhere.
  4. Use Jupyter Notebooks on Mobile:

    • You can use tools like Juno for iOS or other Jupyter notebook apps available for Android to run Python code on your mobile device. This might not be as efficient as using a dedicated app or web interface, but it can work for experimentation and small tasks.
  5. Cloud-Based Solutions:

    • Leverage cloud-based platforms that offer APIs for machine learning models. Services like Hugging Face or Google Colab can be used to run LLAMA3 in the cloud and access it from your smartphone.

Example Tools and Libraries

These are some of the ways and tools you can use to work with LLAMA3 on a smartphone.

Mattral commented 2 months ago

Thank you so much. it is really helpful! I prefer quantized model for edge device uses

yhnz1234 commented 2 months ago

Now I use is in termux.Using ollama in termux and download some model.So I can use LLM in my Android!

ChiruChirag commented 2 months ago

Thank you so much. it is really helpful! I prefer quantized model for edge device uses

Great!! LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA) are some of the good techniques for quantization