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Awesome GitHub RepositoriesPretraining Frameworks
Infrastructure and tools for training foundational machine learning models from scratch on large datasets.
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Awesome Pretraining Frameworks GitHub Repositories
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- jingyaogong/minimind
jingyaogong/minimind
39,663View on GitHubThis project is a comprehensive framework for the entire lifecycle of transformer-based language models, supporting everything from foundational pretraining to specialized deployment. It provides a modular toolkit for defining neural network architectures, managing data preparation pipelines, and executing training routines across various scales. The framework is designed to handle the full model development process, including supervised fine-tuning, behavioral alignment, and the integration of agentic capabilities. What distinguishes this framework is its focus on efficient training and adva
Building foundational language models from scratch by processing massive text corpora to learn fundamental patterns and broad world knowledge.
Pythonartificial-intelligencelarge-language-model
