Model Overview Card for Llama 3.1 Nemotron 70B Instruct

Basic Information

• Model Name: Llama 3.1 Nemotron 70B Instruct
• Developer/Creator: NVIDIA
• Release Date: October 15, 2024
• Version: 1.0
• Model Type: Large Language Model (LLM)

Description

Overview:

Llama 3.1 Nemotron 70B Instruct is a sophisticated large language model developed by NVIDIA, designed to enhance the performance of instruction-following tasks. It utilizes advanced training techniques and a robust architecture to generate human-like responses across a variety of applications.

Key Features:

• 70 billion parameters enabling complex text generation.
• Optimized for instruction-following tasks with high accuracy.
• Context length of up to 128k tokens, allowing for extensive input handling.
• Achieves an Arena Hard score of 85.0 and ranks first in multiple automatic alignment benchmarks.
• Integrated with NVIDIA's Inference Model (NIM) for real-time performance optimization.

Intended Use:

The model is intended for applications such as virtual assistants, customer service bots, content generation, and educational tools where accurate and coherent instruction following is critical.

Llama 3.1 Nemotron 70B Instruct can be used for patient education since it excels at following complex instructions due to its reinforcement learning from human feedback, ensuring accuracy in patient assessments and medical inquiries. Learn more about this and other models and their applications in Healthcare here.

Language Support:

Llama 3.1 Nemotron supports multiple languages, making it suitable for diverse global applications.

Technical Details

Architecture:

The model is based on the Transformer architecture, which allows it to effectively capture long-range dependencies in text. Key architectural details include:

• Layers: 40
• Hidden Dimension: 14,336
• Number of Heads: 32
• Activation Function: GELU
• Precision Type: FP8 for efficient inference.

Training Data:

Llama 3.1 Nemotron was trained using a combination of supervised learning and reinforcement learning from human feedback (RLHF).

• Data Source and Size: The training dataset consists of over 21,000 prompt-response pairs collected from diverse sources to ensure a well-rounded understanding of language.
• Knowledge Cutoff: The model's knowledge is current as of December 2023.
• Diversity and Bias: The training data was curated to minimize bias while maximizing diversity in topics and dialogue styles, enhancing the model's robustness across various contexts.

Performance Metrics:

As of October 2024, Llama 3.1 Nemotron has achieved impressive performance metrics:

• Arena Hard Score: 85.0
• AlpacaEval Score: 57.6
• MT-Bench Score: 8.98

Comparison to Other Models

As of 1 Oct 2024, Llama-3.1-Nemotron-70B-Instruct performs best on Arena Hard, AlpacaEval 2 LC (verified tab) and MT Bench (GPT-4-Turbo)

Usage

Code Samples:

The model is available on the AI/ML API platform as "Llama 3.1 Nemotron 70B Instruct" .

API Documentation:

Detailed API Documentation is available here.

Ethical Guidelines

NVIDIA emphasizes ethical considerations in AI development by promoting transparency regarding the model's capabilities and limitations. They encourage users to adhere to responsible usage guidelines to prevent misuse or harmful applications.

Licensing

Llama 3.1 Nemotron is licensed under a proprietary license allowing both commercial and non-commercial usage rights with specific restrictions on redistribution.

‍

Get Llama 3.1 Nemotron 70B Instruct API here.

‍