Llama models were downloaded more than 20 million times on Hugging Face in the last month alone. And this is just one piece of the Llama success story with these models also being downloaded on services from our partners across the industry.
In addition to Amazon Web Services (AWS) and Microsofts Azure, weve partnered with Databricks, Dell, Google Cloud, Groq, NVIDIA, IBM watsonx, Scale AI, Snowflake, and others to better help developers unlock the full potential of our models. 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. Monthly usage (token volume) of Llama grew 10x from January to July 2024 for some of our largest cloud service providers. And in the month of August, the highest number of unique users of Llama 3.1 on one of our major cloud service provider partners was the 405B variant, which shows that our largest foundation model is gaining traction.
Weve grown the number of partners in our Llama early access program by 5x with Llama 3.1 and will do more to meet the surging demand from partners. Weve heard from a number of companies that want to be future LEAP and integration Llama partners, including Wipro, Cerebras, and Lambda.
Swami Sivasubramanian, VP, AI and Data, AWS: Customers want access to the latest state-of-the-art models for building AI applications in the cloud, which is why we were the first to offer Llama 2 as a managed API and have continued to work closely with Meta as they released new models. Weve been excited to see the uptake for Llama 3.1 from customers across both Amazon SageMaker and Amazon Bedrock, and we look forward to seeing how customers use this model to solve their most complex use cases.
Ali Ghodsi, CEO & Co-Founder, Databricks: 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. 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 high quality AI applications, while retaining full control, customizability, and portability over their base LLM.
Jonathan Ross, Founder & CEO, Groq: Open-source wins. Meta is building the foundation of an open ecosystem that rivals the top closed models and at Groq we put them directly into the hands of the developersa shared value thats been fundamental at Groq since our beginning. To date Groq has provided over 400,000 developers with 5 billion free tokens daily, using the Llama suite of models and our LPU Inference. Its a very exciting time and were proud to be a part of that momentum. We cant add capacity fast enough for Llama. If we

Based on the given text material, it is clear that there has been significant growth in the adoption and usage of Llama models across various cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, Databricks, Dell, Google Cloud, Groq, NVIDIA, IBM watsonx, Scale AI, Snowflake, and others. The number of partners in the Llama early access program has also increased by 5x with Llama 3.1. This growth can be attributed to the fact that these models are being downloaded more than 20 million times on Hugging Face every month, which is a significant increase from where we were about a year ago when they had only been downloaded around 35 million times in total.

The Llama ecosystem has also gained traction with the highest number of unique users for Llama 3.1 being recorded on one of their major cloud service provider partners, which is an indication that these models are becoming increasingly popular among developers and businesses alike. The CEO & Co-Founder of Databricks, Ali Ghodsi, has even gone as far as to say that this generation of Llama models finally bridges the gap between open source and commercial models on quality, making them a breakthrough for customers wanting to build high quality AI applications while retaining full control, customizability, and portability over their base LLM.

Overall, it is clear that there has been significant growth in the adoption of Llama models across various cloud service providers, which suggests that they are becoming increasingly popular among developers and businesses alike due to their high quality and versatility.