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Code Llama is a fine-tune of LLaMa 2 with code specific datasets. 7B, 13B, and 34B versions were released on August 24, 2023, with the 70B releasing on the January 29, 2024. [29] Starting with the foundation models from LLaMa 2, Meta AI would train an additional 500B tokens of code datasets, before an additional 20B token of long-context data ...
Hugging Face, Inc. is an American company incorporated under the Delaware General Corporation Law [1] and based in New York City that develops computation tools for building applications using machine learning.
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.
BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [3]
A large collection of Question to SPARQL specially design for Open Domain Neural Question Answering over DBpedia Knowledgebase. This dataset contains a large collection of Open Neural SPARQL Templates and instances for training Neural SPARQL Machines; it was pre-processed by semi-automatic annotation tools as well as by three SPARQL experts.
Companies portal; This article is within the scope of WikiProject Companies, a collaborative effort to improve the coverage of companies on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.
National Hugging Day is an annual event dedicated to hugging in the United States. It was created by Kevin Zaborney, a Christian pastor, [ 1 ] [ 2 ] and occurs annually on January 21. [ 3 ] [ 4 ] The day is often accompanied with the organisation of hugging events with the aim of fundraising for charities .
SA 315B Lama, 2003. The Lama was developed specifically to provide a rotorcraft with exceptional high-altitude performance. In practice, the type found considerable use within regions that possessed extensive mountain ranges, such as South America and India, being capable of lifting loads and deploying personnel in areas that had been previously impossible to have otherwise achieved.