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Awesome GitHub RepositoriesModel Training Toolkits
Frameworks and utilities for pretraining, fine-tuning, and aligning large-scale neural network models.
Distinguishing note: Focuses on the end-to-end training lifecycle rather than specific model architectures or inference.
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Awesome Model Training Toolkits 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
A comprehensive toolkit for pretraining, fine-tuning, and aligning transformer-based models across various scales and hardware configurations.
Pythonartificial-intelligencelarge-language-model
