The Llama 3 Herd of Models

Overview

The Llama 3 Herd of Models is a set of foundation language models developed by a community effort. The largest model is a dense Transformer with 405B parameters and a 128K token context window. It supports multilinguality, coding, reasoning, and tool usage, and its quality is comparable to GPT-4 on many tasks.

Best for

Best for
Developers and researchers seeking a capable, open foundation model for multilingual, coding, and reasoning tasks.

Use cases

• Multilingual natural language processing and generation
• Code generation, completion, and software development assistance
• Building AI agents that reason and use external tools

Notes

The Llama 3 Herd of Models is a set of foundation language models developed by a community effort. The largest model is a dense Transformer with 405B parameters and a 128K token context window. It supports multilinguality, coding, reasoning, and tool usage, and its quality is comparable to GPT-4 on many tasks.

Use cases

• Multilingual natural language processing and generation
• Code generation, completion, and software development assistance
• Building AI agents that reason and use external tools

Pros

• Publicly released with pre-trained and post-trained weights available
• Performance comparable to GPT-4 across a wide range of benchmarks
• Long 128K token context window for extended inputs

Cons

• Very large 405B parameter model demands substantial compute resources
• Community release may have less formal support and documentation than proprietary alternatives
• Large model size limits deployment to high-end hardware

Indexed from awesome-llm and enriched against its public facts.