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Llama (Large Language Model Meta AI, formerly stylized as LLaMA) is a family of autoregressive 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]
llama.cpp began development in March 2023 by Georgi Gerganov as an implementation of the Llama inference code in pure C/C++ with no dependencies. This improved performance on computers without GPU or other dedicated hardware, which was a goal of the project.
Selecting between clone and image mode Cloning from disk to disk. There are two variants of Clonezilla: Clonezilla Live is intended to be used for imaging a single computer, while Clonezilla Server Edition (SE) is intended for mass deployment over a computer network.
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.
In computing, a clone is hardware or software that is designed to function in exactly the same way as another system. [1] A specific subset of clones are remakes (or remades ), which are revivals of old, obsolete, or discontinued products.
Mule: Idaho Gem, a john mule born 4 May 2003, was the first horse-family clone. [57] Horse: Prometea, a Haflinger female born 28 May 2003, was the first horse clone. [58] Przewalksi's Horse: An ongoing cloning program by the San Diego Zoo Wildlife Alliance and Revive & Restore attempts to reintroduce genetic diversity to this endangered species ...
Within the main public meta-repository, there is an XML manifest for each official release: using git-repo, a version control tool built on top of Git, is the recommended way to synchronize with the stack locally. [29] AMD starts distributing containerized applications for ROCm, notably scientific research applications gathered under AMD ...
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