Provider: Meta AI
License: Meta Llama 2 Community License
Access: Open weights (for commercial and research use with compliance)
Architecture: Transformer decoder
Parameters: 7 billion
Tuning: Instruction-tuned for conversational use
🔍 Overview
LLaMA 2 7B Chat is part of Meta’s second-generation LLaMA model series, designed to support chat-based applications while maintaining openness for commercial and research uses. It delivers solid performance for general-purpose conversations, assistant tasks, and informal reasoning.
Highlights:
- Instruction Tuned: Fine-tuned on high-quality dialogue datasets
- Compact and Deployable: Small enough for edge deployment and real-time applications
- Open Ecosystem: Available through Hugging Face and other platforms for direct experimentation
⚙️ Technical Details
- Architecture: Decoder-only transformer
- Parameters: 7B
- Context Length: 4K tokens
- Tokenizer: SentencePiece-based, same as other LLaMA models
- Training Data: Pretraining on public datasets + supervised fine-tuning for chat
🚀 Deployment
- Hugging Face Repo: meta-llama/Llama-2-7b-chat-hf
- Frameworks: 🤗 Transformers, text-generation-inference, llama.cpp, PEFT, LoRA/QLoRA
- Hardware: 8–16 GB GPU recommended for inference; CPU also feasible with quantization