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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]
DeepSeek V2 June 2024: DeepSeek 236 8.1T tokens 28,000: DeepSeek License 1.4M hours on H800. [94] Nemotron-4 June 2024: Nvidia: 340: 9T Tokens 200,000: NVIDIA Open Model License Trained for 1 epoch. Trained on 6144 H100 GPUs between December 2023 and May 2024. [95] [96] Llama 3.1 July 2024: Meta AI 405 15.6T tokens 440,000: Llama 3 license
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, a general-purpose tensor library. [4] Command-line tools are included with the library, [5] alongside a server with a simple web interface. [6] [7]
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.
Mistral AI was established in April 2023 by three French AI researchers: Arthur Mensch, Guillaume Lample and Timothée Lacroix. [17] Mensch, a former researcher at Google DeepMind, brought expertise in advanced AI systems, while Lample and Lacroix contributed their experience from Meta Platforms, [18] where they specialized in developing large-scale AI models.
The following examples are taken from the "Abstract Algebra" and "International Law" tasks, respectively. [3]The correct answers are marked in boldface: Find all in such that [] / (+) is a field.
The architecture of V2, showing both MLA and a variant of mixture of experts. [86]: Figure 2 Multihead Latent Attention (MLA) is a low-rank approximation to standard MHA. Specifically, each hidden vector, before entering the attention mechanism, is first projected to two low-dimensional spaces ("latent space"), one for query and one for key ...
DeepSeek-V2 was released in May 2024. It offered performance for a low price, and became the catalyst for China's AI model price war . It was dubbed the " Pinduoduo of AI", and other Chinese tech giants such as ByteDance , Tencent , Baidu , and Alibaba cut the price of their AI models.