1 repo
Awesome GitHub RepositoriesModel Optimization Guides
Technical documentation and tutorials for implementing parameter-efficient fine-tuning techniques.
Distinguishing note: Focuses on educational guides for fine-tuning techniques rather than the implementation libraries themselves.
Explore 1 awesome GitHub repository matching education & learning resources · Model Optimization Guides. Refine with filters or upvote what's useful.
Awesome Model Optimization Guides GitHub Repositories
Find the best repos with AI.We'll search the best matching repositories with AI.
- 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
Offers technical guidance on implementing low-rank adaptation techniques to optimize model performance with minimal overhead.
Jupyter Notebookchatglmchatglm3gemma-2b-it
