LLaMA

What is Llama 2

Llama 2 is a large language model developed by Meta, designed to empower individuals, creators, researchers, and businesses to experiment, innovate, and scale their ideas responsibly. It includes pre-trained and fine-tuned models ranging from 7B to 70B parameters. The repository provides minimal code to load and run inference for Llama 2 models, with additional resources available for more detailed implementations.

Top Features

Pre-trained and Fine-tuned Models: Offers models ranging from 7B to 70B parameters for various use cases.
Inference Support: Includes scripts for running inference locally, such as example_chat_completion.py and example_text_completion.py.
Hugging Face Integration: Provides access to models via Hugging Face after acknowledging the license.
Safety and Ethical Use: Comes with a Responsible Use Guide and safety classifiers to filter unsafe inputs and outputs.
Community-Driven Resources: Links to repositories like llama-recipes for community-driven scripts and integrations.

Pricing

The website does not explicitly mention pricing details for Llama 2. However, it emphasizes that the models are licensed for both research and commercial use, with access granted after accepting the license terms. Users must register on the Meta website to download the model weights and tokenizer.

FAQs

How to download Llama 2 models?
Visit the Meta website, accept the license, and follow the instructions to download the models using the provided script.
What are the system requirements?
Ensure wget and md5sum are installed, and have a conda environment with PyTorch/CUDA for running inference.
How to run inference?
Use the provided scripts like example_chat_completion.py with appropriate parameters for model-parallelism and batch size.
Where to report issues?
Report software bugs or risky content via GitHub or Facebook’s dedicated channels.
What is the license?
The models are licensed for both research and commercial use, with an accompanying Acceptable Use Policy.