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2. List of large language models - Wikipedia

   en.wikipedia.org/wiki/List_of_large_language_models

   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. This page lists notable large language models.

3. Large language model - Wikipedia

   en.wikipedia.org/wiki/Large_language_model

   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. The largest and most capable LLMs are generative pretrained transformers (GPTs).

4. T5 (language model) - Wikipedia

   en.wikipedia.org/wiki/T5_(language_model)

   T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [ 1 ] [ 2 ] Like the original Transformer model, [ 3 ] T5 models are encoder-decoder Transformers , where the encoder processes the input text, and the decoder generates the output text.

5. 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]

6. PDF Split and Merge - Wikipedia

   en.wikipedia.org/wiki/PDF_Split_and_Merge

   Split PDF files in a number of ways: After every page, even pages or odd pages; After a given set of page numbers; Every n pages; By bookmark level; By size, where the generated files will roughly have the specified size; Rotate PDF files where multiple files can be rotated, either every page or a selected set of pages (i.e. Mb).

7. llama.cpp - Wikipedia

   en.wikipedia.org/wiki/Llama.cpp

   The GGUF (GGML Universal File) [26] file format is a binary format that stores both tensors and metadata in a single file, and is designed for fast saving, and loading of model data. [27] It was introduced in August 2023 by the llama.cpp project to better maintain backwards compatibility as support was added for other model architectures.