Explore Meta's Llama 3 70B Instruct Model

Optimized for engaging and coherent dialogues.

Input: text Output: text Context: 8,192 tokens Release: 2024-04-18

Meta's Llama 3 70B Instruct model, released in April 2024, is designed for high-quality dialogue interactions. With a context length of 8192 tokens, this text-to-text model is ideal for generating coherent and contextually aware responses. It supports various parameters, allowing users to fine-tune outputs according to their needs. The model is structured to handle text inputs and outputs, making it versatile for applications that require natural language understanding and generation. Discover how this model can enhance your text-based projects.

Use Cases

Here are a few ways teams apply Meta: Llama 3 70B Instruct in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance customer service with intelligent dialogues

Generate creative writing with contextual depth

Develop interactive educational tools

Improve chatbot interactions with nuanced responses

Key Features

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

70 billion parameters for detailed text generation

Context length of 8192 tokens

Instruct-tuned for dialogue applications

Supports diverse text parameters

Text-to-text modality for versatile use

Specs

Overview

Vendor
meta-llama

Model ID
meta-llama/llama-3-70b-instruct

Release
2024-04-18

Modalities & context

Input
text

Output
text

Context
8,192 tokens

Parameters & defaults

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

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Meta: Llama 3 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

The advent of Artificial Intelligence (AI) has the potential to revolutionize the way we live and work, bringing about a transformative impact on our daily lives. In the realm of work, AI can automate mundane and repetitive tasks, freeing humans to focus on creative problem-solving and high-value tasks that require empathy, intuition, and critical thinking. This could lead to increased productivity, job satisfaction, and innovation. In leisure, AI-powered personalized entertainment and experiences could enable people to explore new hobbies and interests, fostering a culture of lifelong learning and creativity. Moreover, AI-generated content and tools could democratize access to creative pursuits, such as music, art, and writing, allowing more people to express themselves and bring new ideas to the forefront. As AI takes over routine tasks, humans will have more time to pursue their passions, leading to a surge in creative output and a more fulfilling, purpose-driven existence.

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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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