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Awesome GitHub RepositoriesModel Training Guides
Educational resources and step-by-step tutorials for training and adapting machine learning models.
Distinguishing note: Focuses on educational content and tutorials rather than production-ready tooling.
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Awesome Model Training Guides GitHub Repositories
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- datawhalechina/self-llm
datawhalechina/self-llm
28,285View on GitHubThis project is an open-source educational resource providing structured, step-by-step guides for fine-tuning large language models. It focuses on adapting pre-trained transformer-based causal models to custom datasets, enabling users to transfer specific writing styles or domain knowledge into generative AI models. The repository distinguishes itself by emphasizing parameter-efficient training techniques, specifically low-rank adaptation. By providing practical implementations for updating only a small subset of model weights, it allows for the customization of massive neural networks on con
A collection of step-by-step guides and code examples for training and adapting large language models on custom datasets.
Jupyter Notebookchatglmchatglm3gemma-2b-it
