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Llama 3.3 - Model
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Llama 3.3

description Llama 3.3 Overview

Llama 3.3 is an instruction-tuned large language model developed by Meta and released in December 2024. Built with 70 billion parameters, it utilizes the same architecture as the larger Llama 3.1 405B model but achieves comparable performance through advanced post-training techniques. The model supports a 128,000-token context window and is designed for general knowledge, mathematical reasoning, and multilingual translation tasks. It was released under an open-weight license for research and commercial use.

help Llama 3.3 FAQ

How many parameters does Meta's Llama 3.3 model have?

Llama 3.3 is built with 70 billion parameters, making it much smaller than the massive 405B version released previously. Despite its smaller size, it utilizes advanced post-training techniques to achieve comparable performance.

When was Llama 3.3 released?

Meta released the Llama 3.3 model in December 2024. It was introduced as a highly efficient, instruction-tuned large language model available for broad developer use.

What company developed the Llama 3.3 model?

The model was developed by Meta, the parent company of Facebook and Instagram. It is part of the tech giant's ongoing push into open-weight artificial intelligence.

How does Llama 3.3 achieve its performance compared to the larger 405B model?

Llama 3.3 utilizes the exact same underlying architecture as the larger Llama 3.1 405B model. However, Meta applied advanced post-training techniques to the smaller 70B model to boost its reasoning and capabilities to rival the larger version.

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