Overview

Meta Llama 3.1 8B Instruct is an 8 billion parameter instruction-tuned model from the Llama 3.1 collection, developed by Meta. It is designed for multilingual dialogue and general natural language generation tasks, outperforming many open-source and closed chat models on industry benchmarks. The model utilizes an optimized transformer architecture and has been fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.

Key Capabilities

Multilingual Support: Optimized for English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai, with potential for fine-tuning in other languages.
Extended Context Window: Features a substantial 128k token context length, enabling processing of longer inputs and generating more comprehensive responses.
Instruction Following: Instruction-tuned for assistant-like chat and various natural language generation tasks.
Code Generation: Supports multilingual text and code output, demonstrating strong performance on benchmarks like HumanEval (72.6 pass@1) and MBPP++ (72.8 pass@1).
Tool Use: Shows significant improvements in tool use benchmarks such as API-Bank (82.6 acc) and BFCL (76.1 acc).

Good For

Commercial and research applications requiring robust multilingual dialogue capabilities.
Developing assistant-like chat applications.
Tasks involving code generation and understanding.
Leveraging model outputs for synthetic data generation and distillation to improve other models.
Applications requiring a model with a December 2023 knowledge cutoff and extensive pretraining data (15T+ tokens).