Llama-3.1-8B-Instruct is a multilingual, instruction-tuned language model developed by Meta, designed for high-quality dialogue generation across eight languages, including English, Spanish, French, German, Italian, Portuguese, Hindi, and Thai. It uses a transformer-based, autoregressive architecture with Grouped-Query Attention and supports a 128k token context window. The model was fine-tuned using a combination of supervised fine-tuning (SFT), reinforcement learning with human feedback (RLHF), and high-quality human and synthetic safety data. It excels at conversational AI, tool use, coding, and multilingual reasoning, achieving strong performance across a wide range of academic and applied benchmarks. The model is released under the Llama 3.1 Community License, which permits commercial use for organizations with fewer than 700 million monthly active users, provided they comply with Meta’s Acceptable Use Policy.
Features
- 8.03B parameters with optimized transformer and GQA architecture
- Instruction-tuned for multilingual, assistant-like dialogue
- Trained on 15T+ tokens with 25M+ synthetic examples
- Supports 128k context length for long input handling
- Strong benchmark performance in math, code, and reasoning
- Safe deployment tools include Llama Guard 3, Prompt Guard, Code Shield
- Integrates native tool-use functionality and chat templates
- Commercial use allowed under Llama 3.1 Community License with safety guardrails
Project Samples
