Llama 3.1 8B Instruct: Multilingual Dialogue and Tool Use

This model is an 8 billion parameter instruction-tuned variant from Meta's Llama 3.1 family, released on July 23, 2024. It leverages 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. A key differentiator is its 128k token context length, significantly larger than many comparable models, and its strong performance across various benchmarks.

Key Capabilities

Multilingual Support: Optimized for English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai, with potential for fine-tuning in other languages.
Enhanced Instruction Following: Outperforms previous Llama 3 8B Instruct on MMLU (69.4% vs 68.5%), MMLU (CoT) (73.0% vs 65.3%), and IFEval (80.4% vs 76.8%).
Code Generation: Achieves 72.6% on HumanEval pass@1, a notable improvement over Llama 3 8B Instruct's 60.4%.
Mathematical Reasoning: Shows significant gains on MATH (CoT) with 51.9% final_em, up from 29.1%.
Advanced Tool Use: Demonstrates strong performance in tool use benchmarks like API-Bank (82.6%) and BFCL (76.1%), indicating robust function calling capabilities.

Good For

Assistant-like Chat Applications: Its instruction-tuned nature and multilingual capabilities make it suitable for building interactive chatbots.
Multilingual Applications: Ideal for use cases requiring understanding and generation in the 8 explicitly supported languages.
Code Generation and Development: Strong performance in coding benchmarks suggests utility for programming assistance.
Tool-Integrated Systems: Designed to integrate with external tools and APIs, enabling more complex agentic behaviors.
Research and Commercial Use: Intended for a broad range of applications under the Llama 3.1 Community License.