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Llama (Large Language Model Meta AI, formerly stylized as LLaMA) is a family of large language models (LLMs) released by Meta AI starting in February 2023. [2] [3] The latest version is Llama 3.3, released in December 2024. [4] Llama models are trained at different parameter sizes, ranging between 1B and 405B. [5]
And outside its walls, Llama models have been downloaded over 600 million times on sites like open-source AI community Hugging Face. Still, the pivot has perplexed many Meta watchers.
Upon its inception, the foundation formed a governing board comprising representatives from its initial members: AMD, Amazon Web Services, Google Cloud, Hugging Face, IBM, Intel, Meta, Microsoft, and NVIDIA. [47] In 2024, Meta released a collection of large AI models, including Llama 3.1 405B, comparable to the most advanced closed-source ...
DeepSeek [a] (Chinese: 深度求索; pinyin: Shēndù Qiúsuǒ) is a Chinese artificial intelligence company that develops open-source large language models (LLMs). Based in Hangzhou, Zhejiang, it is owned and funded by Chinese hedge fund High-Flyer, whose co-founder, Liang Wenfeng, established the company in 2023 and serves as its CEO.
Large collaboration led by Hugging Face: 175 [50] 350 billion tokens (1.6TB) [51] Responsible AI ... Llama 3.1 July 2024: Meta AI 405 15.6T tokens 440,000: Llama 3 ...
llama.cpp is an open source software library that performs inference on various large language models such as Llama. [3] It is co-developed alongside the GGML project ...
The model was based on the LLM Llama developed by Meta AI, with various modifications. [3] It was publicly released in September 2023 after receiving approval from the Chinese government. [ 4 ] In December 2023 it released its 72B and 1.8B models as open source, while Qwen 7B was open sourced in August.
Officially released on September 27, 2023, via a BitTorrent magnet link, [25] and Hugging Face. [26] The model was released under the Apache 2.0 license. The release blog post claimed the model outperforms LLaMA 2 13B on all benchmarks tested, and is on par with LLaMA 34B on many benchmarks tested. [27]