Explore Llama Guard 3 8B for Content Safety

Ensure safe content with Llama Guard 3 8B's multilingual moderation.

Input: text Output: text Context: 131,072 tokens Release: 2025-02-12

Llama Guard 3 8B, released by Meta-Llama on February 12, 2025, is a fine-tuned model designed for content safety classification. It uses a large context window of 131072 tokens to analyze and classify text prompts and responses, ensuring they meet safety standards. This model operates in a text-to-text modality, making it versatile for various applications. It supports content moderation in eight languages, enhancing the safety and security of search and code interpreter tool calls. With features like frequency penalty, logit bias, and temperature control, Llama Guard 3 8B provides robust content moderation aligned with MLCommons standards.

Use Cases

Here are a few ways teams apply Llama Guard 3 8B in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Moderate content in multilingual platforms

Enhance safety in search tool responses

Secure code interpreter outputs

Classify unsafe content categories

Support large-scale text analysis

Key Features

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

Pretrained Llama-3.1-8B model

Classifies content for safety

Supports eight languages

Optimized for search and code tools

Large 131072 token context window

Aligned with MLCommons standards

Specs

Overview

Vendor
meta-llama

Model ID
meta-llama/llama-guard-3-8b

Release
2025-02-12

Modalities & context

Input
text

Output
text

Context
131,072 tokens

Parameters & defaults

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

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Llama Guard 3 8B

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

, as well as the broader age old question of whether some new AI creations might be considered art if they could not be interacted with directly. safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe safe unsafe S4

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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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