Model Overview

Description:

Llama-3.1-Nemotron-70B-Reward is a large language model customized using developed by NVIDIA to predict the quality of LLM generated responses.

This model is ready for commercial use.

Terms of use

By accessing this model, you are agreeing to the LLama 3 terms and conditions of the license, acceptable use policy and Meta’s privacy policy

References(s):

• SteerLM method
• HelpSteer
• HelpSteer2
• Introducing Llama 3.1: Our most capable models to date
• Meta's Llama 3.1 Webpage
• Meta's Llama 3.1 Model Card

Model Architecture:

Architecture Type: Transformer

Network Architecture: Llama 3.1

Input:

Input Type(s): Text

Input Format: String

Input Parameters: NA

Other Properties Related to Input: Provided text must be within 4096 tokens

Output:

Output Type(s): Float

Output Format: One Single Float

Output Parameters: NA

Other Properties Related to Output: NA

Software Integration:

Supported Hardware Microarchitecture Compatibility:

• NVIDIA Ampere
  
• NVIDIA Hopper
  
• NVIDIA Turing
  
  Supported Operating System(s): Linux
  

Model Version:

v1.0

Training & Evaluation:

Datasets:

Data Collection Method by dataset

• [Hybrid: Human, Synthetic]
  

Labeling Method by dataset

• [Human]
  

Link:

• HelpSteer2

Properties (Quantity, Dataset Descriptions, Sensor(s)):

• 37,120 prompt-responses built to make more models more aligned with human preference - specifically more helpful, factually-correct, coherent, and customizable based on complexity and verbosity.

Inference:

Engine: Triton

Test Hardware: H100, A100 80GB, A100 40GB

Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns here.

Please report security vulnerabilities or NVIDIA AI Concerns here.