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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]
Training AI models requires thousands of GPUs. For instance, Meta's Llama 3.1 reportedly used 16,000, and xAI's Colossus data center uses 100,000. Chinese AI company DeepSeek claims it created a ...
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]
Alibaba Cloud said Qwen2.5 Max impressed versus OpenAI's GPT-4o, DeepSeek-V3, and Meta Platforms Inc's (NASDAQ:META) Llama-3.1-405B in specific benchmarks, the Wall Street Journal reports. Alibaba ...
Llama 3.1 July 2024: Meta AI 405 15.6T tokens 440,000: Llama 3 license 405B version took 31 million hours on H100-80GB, at 3.8E25 FLOPs. [97] [98] DeepSeek V3 December 2024: DeepSeek: 671 14.8T tokens 56,000: DeepSeek License 2.788M hours on H800 GPUs. [99] Amazon Nova December 2024: Amazon: Unknown Unknown Unknown Proprietary
“Qwen 2.5-Max outperforms ... almost across the board GPT-4o, DeepSeek-V3 and Llama-3.1-405B,” Alibaba’s cloud unit said in an announcement posted on its official WeChat account, referring ...
The architecture is essentially the same as Llama. DeepSeek LLM 29 Nov 2023 Base; Chat (with SFT) The architecture is essentially the same as Llama. DeepSeek-MoE 9 Jan 2024 Base; Chat Developed a variant of mixture of experts (MoE). DeepSeek-Math Apr 2024 Base Initialized with DS-Coder-Base-v1.5 Instruct (with SFT) RL (using a process reward model)
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.