We have data on 7,074 companies that use LLaMA. The companies using LLaMA are most often found in United States and in the Information Technology and Services industry. LLaMA is most often used by companies with 10-50 employees and 1M-10M dollars in revenue. Our data for LLaMA usage goes back as far as 2 years and 6 months.
| Company | Pure Storage |
| Website | purestorage.com |
| Country | United States |
| Revenue | 1B-5B |
| Company Size | 5000-10000 |
| Company | EPAM Systems Inc |
| Website | epam.com |
| Country | United States |
| Revenue | 1B-5B |
| Company Size | >10000 |
| Company | Globant |
| Website | globant.com |
| Country | Luxembourg |
| Revenue | 1B-5B |
| Company Size | >10000 |
| Company | SAP SE |
| Website | sap.com |
| Country | Germany |
| Revenue | >10B |
| Company Size | >10000 |
| Company | Cohesity |
| Website | cohesity.com |
| Country | United States |
| Revenue | 200M-1000M |
| Company Size | 5000-10000 |
| Company | Website | Country | Revenue | Company Size |
|---|---|---|---|---|
| Pure Storage | purestorage.com | United States | 1B-5B | 5000-10000 |
| EPAM Systems Inc | epam.com | United States | 1B-5B | >10000 |
| Globant | globant.com | Luxembourg | 1B-5B | >10000 |
| SAP SE | sap.com | Germany | >10B | >10000 |
| Cohesity | cohesity.com | United States | 200M-1000M | 5000-10000 |
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Language Models. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Language Models category, LLaMA has a market share of about 11.3%. Other major and competing products in this category include:
LLaMA (Large Language Model Meta AI) is an open-source large language model (LLM), released by Meta AI. For its first version, four model sizes were trained - 7, 13, 33 and 65 billion parameters. It is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others' work, and explore new use cases. LLaMA 2 is a next generation of Meta AI's open source large language model, which includes model weights and starting code for pretrained and fine-tuned Llama language models - ranging from 7B to 70B parameters. It outperforms other open source language models on many external benchmarks including reasoning, coding, proficiency and knowledge tests.
Looking at LLaMA customers by industry, we find that Information Technology and Services (24%), Computer Software (18%), Internet (8%) and Higher Education (7%) are the largest segments.
44% of LLaMA customers are in United States and 13% are in India.
Of all the customers that are using LLaMA, 36% are small (<50 employees), 31% are medium-sized and 33% are large (>1000 employees).
Of all the customers that are using LLaMA, a majority (54%) are small (<$50M), 16% are large (>$1000M) and 7% are medium-sized.