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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. 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, a general-purpose tensor library.

  4. List of large language models - Wikipedia

    en.wikipedia.org/wiki/List_of_large_language_models

    Apache 2.0 Outperforms GPT-3.5 and Llama 2 70B on many benchmarks. [82] Mixture of experts model, with 12.9 billion parameters activated per token. [83] Mixtral 8x22B April 2024: Mistral AI: 141 Unknown Unknown: Apache 2.0 [84] DeepSeek LLM November 29, 2023: DeepSeek 67 2T tokens [85]: table 2 12,000: DeepSeek License

  5. DeepSeek - Wikipedia

    en.wikipedia.org/wiki/DeepSeek

    On 2 November 2023, DeepSeek released its first model, DeepSeek Coder. On 29 November 2023, DeepSeek released the DeepSeek-LLM series of models. [37]: section 5 On 9 January 2024, they released 2 DeepSeek-MoE models (Base and Chat). [38] In April 2024, they released 3 DeepSeek-Math models: Base, Instruct, and RL. [39]

  6. Mistral AI - Wikipedia

    en.wikipedia.org/wiki/Mistral_AI

    Mistral AI SAS is a French artificial intelligence (AI) startup, headquartered in Paris.It specializes in open-weight large language models (LLMs). [2] [3] Founded in April 2023 by engineers formerly employed by Google DeepMind [4] and Meta Platforms, the company has gained prominence as an alternative to proprietary AI systems.

  7. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Typically, LLMs are trained with single- or half-precision floating point numbers (float32 and float16). One float16 has 16 bits, or 2 bytes, and so one billion parameters require 2 gigabytes. The largest models typically have 100 billion parameters, requiring 200 gigabytes to load, which places them outside the range of most consumer electronics.

  8. AI capability control - Wikipedia

    en.wikipedia.org/wiki/AI_capability_control

    An AI box is a proposed method of capability control in which an AI is run on an isolated computer system with heavily restricted input and output channels—for example, text-only channels and no connection to the internet.

  9. Winamp - Wikipedia

    en.wikipedia.org/wiki/Winamp

    The installer for Version 1.91, released 18 days later, included wave, cdda, and Windows tray handling plugins, as well as the famous Wesley Willis-inspired DEMO.MP3 file "Winamp, it really whips the llama's ass". [65] [66] Mike the Llama is the company mascot. [54] By July 1998, Winamp's various versions had been downloaded over three million ...