Generative AI Drives Meta's Llama Models to New Heights with 350 Million Downloads

Friday, 30 August 2024, 04:59

Generative AI continues to shape the industry as Meta’s Llama models soar to nearly 350 million downloads. This remarkable growth demonstrates the rising appeal of these innovative open-source large language models. Released over the past 18 months, Llama has become the leading model family in downloads.
Computerworld
Generative AI Drives Meta's Llama Models to New Heights with 350 Million Downloads

Generative AI Revolutionizes Open-Source Models

Generative AI is at the forefront of innovation, and Meta’s Llama models exemplify this progress with 350 million downloads recorded to date. According to Ahmad Al-Dahle, Meta’s vice president of generative AI, the Llama family has experienced a ten-fold increase in downloads compared to last year.

Outstanding Growth Amidst Competitive Landscape

In the previous month alone, Llama models achieved over 20 million downloads, solidifying their status as the leading open-source model family. The surge can be linked to the introduction of multiple new versions, including the recent Llama 3.1.

  • New releases include:
  • Llama 2 launched in July 2022
  • Llama 3 debuted in April 2023
  • Llama 3.1 was released in July 2023 with enhanced parameters

Open Weights and Industry Demand

Despite being classified as open weights, the models lack true open-source definitions, especially since Meta limits commercial usage. The metrics for gauging success differ from those of competitors like OpenAI, who have documented user statistics. Nevertheless, Meta leverages download counts to demonstrate their models’ popularity.

Expanding Partner Networks

Meta’s strategy includes increasing partnerships with major cloud service providers such as AWS, Azure, and Google Cloud, among others. Al-Dahle noted that the number of Llama partners has quintupled due to escalating demand, with notable corporations like Accenture and Shopify utilizing these models for their generative AI projects.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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