Meta’s Llama models hit 350 million downloads, leads open-source AI
Meta’s Llama series of AI models have become the fastest growing open-source family of models securing 350 million downloads globally on Hugging Face. Of these, 20 million downloads were made last month alone, the company said.
Besides the community platform Hugging Face, Llama was also being accessed through Meta’s cloud partners such as Amazon Web Services (AWS), Microsoft’s Azure, Databricks, Dell, Google Cloud, Groq, NVIDIA, IBM watsonx, Scale AI, Snowflake, to name a few.
“Hosted Llama usage by token volume across our major cloud service provider partners more than doubled May through July 2024 when we released Llama 3.1,” Meta said in a blogpost on Thursday.
Monthly usage (token volume) of Llama grew 10x from January to July 2024 for some of the largest cloud service providers.
“We’ve heard from a number of companies that want to be future LEAP and integration Llama partners, including Wipro, Cerebras, and Lambda,” it added.
Industry leaders said growing adoption of Llama meant that Meta is closing the performance gap between open-source models and top proprietary models like OpenAI’s GPT and Anthropic’s Claude etc.
“In the weeks since launch, thousands of Databricks customers have adopted Llama 3.1, making it our fastest adopted and best selling open source model ever,” Ali Ghodsi, CEO & Co-Founder, Databricks was quoted in the same blogpost.
“This generation of Llama models finally bridges the gap between OSS and commercial models on quality. Llama 3.1 is a breakthrough for customers wanting to build
