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Awesome GitHub RepositoriesSupervised Fine-Tuning Frameworks
Libraries for aligning pretrained models to specific tasks, roles, or instruction-following behaviors using labeled datasets.
Distinguishing note: Focuses on supervised alignment and instruction tuning rather than initial pretraining or raw model architecture.
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Awesome Supervised Fine-Tuning 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
The framework provides supervised fine-tuning capabilities to align pretrained models with specific assistant roles, response styles, and instruction-following requirements using dialogue datasets.
Pythonartificial-intelligencelarge-language-model
