Explore NVIDIA's Llama 3.1 Nemotron 70B Instruct

Generate precise and helpful text responses with NVIDIA's model.

Input: text Output: text Context: 131,072 tokens Release: 2024-10-15

Discover NVIDIA's Llama 3.1 Nemotron 70B Instruct, released on October 15, 2024. This language model is designed for text-to-text tasks, utilizing a large context window of 131,072 tokens. It excels in generating precise and helpful responses by leveraging Reinforcement Learning from Human Feedback (RLHF). The model supports a variety of input and output parameters, making it versatile for different applications. With its focus on accuracy and alignment, it's ideal for handling diverse queries across multiple domains. Whether you're looking to enhance user interactions or improve content generation, this model offers robust capabilities tailored to your needs.

Use Cases

Here are a few ways teams apply NVIDIA: Llama 3.1 Nemotron 70B Instruct in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance user interaction accuracy

Improve content generation

Support diverse domain queries

Key Features

A quick look at the capabilities that make this model useful in real projects.

Large context window of 131,072 tokens

Text-to-text modality

Utilizes RLHF for alignment

Supports diverse parameters

High accuracy in response generation

Specs

Overview

Vendor
nvidia

Model ID
nvidia/llama-3.1-nemotron-70b-instruct

Release
2024-10-15

Modalities & context

Input
text

Output
text

Context
131,072 tokens

Parameters & defaults

Supported parameters: frequency_penalty, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, temperature, tool_choice, tools, top_k, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: NVIDIA: Llama 3.1 Nemotron 70B Instruct

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

Here are 150 words on how AI might positively upend work, leisure, and creativity: The integration of Artificial Intelligence (AI) into various aspects of life has the potential to positively revolutionize the way we approach work, leisure, and creativity. **Work**: AI can automate mundane tasks, freeing humans to focus on strategic, innovative, and high-touch roles, leading to increased productivity and job satisfaction. **Leisure**: Personalized AI-driven entertainment and education platforms can offer immersive, tailored experiences, enhancing relaxation and lifelong learning. **Creativity**: Collaborative AI tools can augment human imagination, facilitating novel artistic expressions, accelerating scientific breakthroughs, and streamlining the creative process. By augmenting human capabilities, AI can unlock new frontiers of innovation, enjoyment, and personal growth, ultimately leading to a more fulfilling and inspiring life. As AI assumes routine and repetitive tasks, humanity can ascend to more elevated, creative, and meaningful pursuits.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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