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 AI into our lives may bring about a revolution in how we work, play, and create. AI could automate mundane and repetitive tasks, freeing humans to focus on more complex and creative endeavors. This could lead to a surge in innovation and entrepreneurship, as people are able to pursue their passions without being bogged down by routine tasks. AI-powered tools could also enable new forms of artistic expression, such as AI-generated music and art. Additionally, AI-driven platforms could facilitate global collaboration and knowledge-sharing, allowing creatives to tap into a vast network of expertise and inspiration. As AI assumes more routine tasks, people may have more time to pursue hobbies and interests, leading to a renaissance in creative pursuits. Ultimately, AI has the potential to unlock human potential and bring about a new era of creativity, innovation, and personal fulfillment.

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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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