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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.
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]
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.
Before 2017, there were a few language models that were large as compared to capacities then available. In the 1990s, the IBM alignment models pioneered statistical language modelling. A smoothed n-gram model in 2001 trained on 0.3 billion words achieved state-of-the-art perplexity at the time. [ 4 ]
Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing , machine translation , and natural language generation and can be used as foundation models for other tasks. [ 62 ]
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.
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The results should be interpreted as indicating the importance of cities as nodes in the world city network (i.e. enabling corporate globalization). [8] The cities in the 2024 classification are as follows, listed in alphabetical order per section: [9] (1) or (1) indicates a city moved one category up or down since the 2022 classification. [10]