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DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. [1] It is designed to make ML models shareable, experiments reproducible, [2] and to track versions of models, data, and pipelines. [3] [4] [5] DVC works on top of Git repositories [6] and cloud storage. [7]
The GGUF (GGML Universal File) [30] 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. [31] It was introduced in August 2023 by the llama.cpp project to better maintain backwards compatibility as support was added for other model architectures.
Unlike commits in data management, commits in version control systems are kept in the repository indefinitely. Thus, when other users do an update or a checkout from the repository, they will receive the latest committed version, unless they specify that they wish to retrieve a previous version of the source code in the repository. Version ...
LLaMA 1 foundational models were trained on a data set with 1.4 trillion tokens, drawn from publicly available data sources, including: [2] Webpages scraped by CommonCrawl; Open source repositories of source code from GitHub; Wikipedia in 20 languages; Public domain books from Project Gutenberg; Books3 books dataset
git clone [URL], which clones, or duplicates, a git repository from an external URL. git add [file], which adds a file to git's working directory (files about to be committed). git commit -m [commit message], which commits the files from the current working directory (so they are now part of the repository's history). A .gitignore file may be ...
List of GitHub repositories of the project: Red Hat Consulting This data is not pre-processed List of GitHub repositories of the project: Red Hat Communities of Practice This data is not pre-processed List of GitHub repositories of the project: Red Hat Partner Tech This data is not pre-processed List of GitHub repositories of the project
The aim is to build a community of model users and co-developers / contributors to interact with the GitHub repository. There are strict rules regarding the need for Unit testing in order to have code included into the repository. In time it is likely that a developer guideline document may be formulated to aid others from contributing to the code.
The contributor requests that the project maintainer pull the source code change, hence the name "pull request". The maintainer has to merge the pull request if the contribution should become part of the source base. [12] The developer creates a pull request to notify maintainers of a new change; a comment thread is associated with each pull ...