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Awesome GitHub RepositoriesTraining Pipelines
Structured workflows for managing data preparation, training configurations, and model checkpointing in machine learning projects.
Distinguishing note: Focuses on the orchestration and management of the training lifecycle rather than the model architecture itself.
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Awesome Training Pipelines 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 structured approach to preparing data, configuring training parameters, and managing model checkpoints for generative language tasks.
Jupyter Notebookchatglmchatglm3gemma-2b-it
