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  2. Llama (language model) - Wikipedia

    en.wikipedia.org/wiki/Llama_(language_model)

    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]

  3. List of large language models - Wikipedia

    en.wikipedia.org/wiki/List_of_large_language_models

    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

  4. Open-source artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Open-source_artificial...

    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 ...

  5. llama.cpp - Wikipedia

    en.wikipedia.org/wiki/Llama.cpp

    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 ...

  6. Mistral AI - Wikipedia

    en.wikipedia.org/wiki/Mistral_AI

    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.

  7. MMLU - Wikipedia

    en.wikipedia.org/wiki/MMLU

    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.

  8. Qwen - Wikipedia

    en.wikipedia.org/wiki/Qwen

    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.

  9. Photomask - Wikipedia

    en.wikipedia.org/wiki/Photomask

    The costs of creating new mask shop for 180 nm processes were estimated in 2005 as $40 million, and for 130 nm - more than $100 million. [26] The purchase price of a photomask, in 2006, could range from $250 to $100,000 [27] for a single high-end phase-shift mask. As many as 30 masks (of varying price) may be required to form a complete mask set.