Explore Meta's Llama 3.1 8B Instruct Model

Efficient text processing with Meta's Llama 3.1 8B Instruct.

Input: text Output: text Context: 131,072 tokens Release: 2024-07-23

Meta's Llama 3.1 8B Instruct model, released in July 2024, is designed for efficient text-to-text processing. With a context window of 16,384 tokens, it can handle extensive text inputs, making it suitable for a variety of applications. This model is particularly tuned for instruction-based tasks, offering robust performance in generating coherent and contextually relevant outputs. It supports various parameters like frequency penalty and temperature, allowing users to fine-tune responses to meet specific needs. Whether you're generating text or analyzing large documents, this model's capabilities provide a versatile tool for text-based tasks.

Use Cases

Here are a few ways teams apply Meta: Llama 3.1 8B Instruct in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Generate coherent text responses

Analyze extensive documents

Fine-tune outputs with parameters

Instruction-based task handling

Key Features

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

16,384 token context window

Text-to-text modality

Instruction-tuned performance

Supports diverse parameters

Efficient and robust outputs

Specs

Overview

Vendor
meta-llama

Model ID
meta-llama/llama-3.1-8b-instruct

Release
2024-07-23

Modalities & context

Input
text

Output
text

Context
131,072 tokens

Parameters & defaults

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

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Meta: Llama 3.1 8B 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 integration of Artificial Intelligence (AI) into various aspects of life is poised to revolutionize work, leisure, and creativity. On the work front, AI can automate mundane and repetitive tasks, freeing humans to focus on high-level decision-making, creative problem-solving, and strategic planning. This shift can lead to increased productivity, reduced work hours, and improved work-life balance. In leisure, AI can enhance entertainment experiences through personalized content recommendations, immersive storytelling, and interactive games. Virtual reality and augmented reality technologies, powered by AI, can transport users to new worlds, fostering creativity and imagination. AI can also augment human creativity by generating new ideas, suggesting novel solutions, and facilitating collaboration. Artists, writers, and musicians can leverage AI tools to explore new styles, experiment with novel techniques, and push the boundaries of their craft. As AI assumes routine and mundane tasks, humans are empowered to pursue their passions, leading to a more fulfilling and creative 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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