Llama 2
Llama 2
Llama 2 is Meta's collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. These models are designed for a variety of use cases including assistant-like chat applications and code-related tasks.
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Key Features
- Multiple Model Sizes: 7B, 13B, and 70B parameter versions
- Open Source: Available for research and commercial use
- High Performance: State-of-the-art results on many NLP benchmarks
- Code Capabilities: Strong performance on code understanding and generation
- Fine-tuned Variants: Chat-optimized versions available
- Safety Features: Built-in safety measures and responsible AI practices
Technical Specifications
- Architecture: Transformer-based autoregressive language model
- Training Data: 2 trillion tokens of publicly available data
- Context Length: 4,096 tokens
- Vocabulary: 32,000 tokens using SentencePiece tokenizer
Development Applications
- Code Completion: Intelligent code suggestions and completions
- Code Review: Automated code analysis and improvement suggestions
- Documentation: Generate code documentation and comments
- Debugging: Assist in identifying and fixing code issues
- API Integration: Help with API usage and integration patterns
- Code Translation: Convert code between different programming languages
Model Variants
- Llama 2: Base pretrained models
- Llama 2-Chat: Fine-tuned for dialogue and instruction following
- Code Llama: Specialized version for code generation (separate product)
Licensing
Llama 2 is released under a custom commercial license that allows for both research and commercial use, making it accessible for developers and organizations.