Discover Meta's Llama 3.2 3B Instruct Model

Multilingual model for dialogue, reasoning, and summarization.

Input: text Output: text Context: 131,072 tokens Release: 2024-09-25
Meta: Llama 3.2 3B Instruct is a robust text-to-text model released in September 2024. With a context length of 131072 tokens, it is designed for advanced natural language processing tasks. This model supports input and output in text modalities, making it versatile for tasks like dialogue generation, reasoning, and summarization. Supporting eight languages, including English, Spanish, and Hindi, it is adaptable to more languages. Trained on 9 trillion tokens, Llama 3.2 3B is optimized for instruction-following and complex reasoning, providing balanced performance for multilingual applications.

Use Cases

Here are a few ways teams apply Meta: Llama 3.2 3B Instruct (free) in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Generate multilingual dialogue

Perform complex reasoning tasks

Summarize large text efficiently

Adapt to additional languages

Enhance multilingual applications

Key Features

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

3-billion-parameter model

Supports eight languages

Advanced NLP capabilities

131072 token context length

Optimized for instruction-following

Versatile text input/output

Specs

Overview
Vendor
meta-llama
Model ID
meta-llama/llama-3.2-3b-instruct:free
Release
2024-09-25
Modalities & context
Input
text
Output
text
Context
131,072 tokens
Parameters & defaults

Supported parameters: frequency_penalty, max_tokens, presence_penalty, stop, temperature, top_k, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Meta: Llama 3.2 3B Instruct (free)

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) is poised to revolutionize various aspects of human life, including work, leisure, and creativity. In the workplace, AI may augment human capabilities, freeing professionals to focus on high-level decision-making and strategic thinking. Automation of routine tasks could lead to increased productivity, efficiency, and job satisfaction. Moreover, AI-powered tools could enable remote work, bridging geographical gaps and fostering global collaboration. In the realm of leisure, AI-driven entertainment and education platforms could provide personalized experiences, catering to individual interests and preferences. AI-assisted creative tools could democratize artistic expression, empowering people to explore new forms of art, music, and literature. Additionally, AI-powered virtual assistants could help individuals manage their free time, prioritize tasks, and maintain a healthy work-life balance. Overall, AI has the potential to transform the way we live, work, and create, unlocking new possibilities for human flourishing and innovation.
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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.