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Awesome GitHub RepositoriesModel Distillation Frameworks
Tools for training smaller student models using outputs from larger teacher models.
Distinguishing note: Focuses on reasoning trace distillation rather than general model compression.
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Awesome Model Distillation Frameworks GitHub Repositories
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- huggingface/open-r1
huggingface/open-r1
25,887View on GitHubOpen-r1 is a framework designed for the large-scale training, distillation, and optimization of language models focused on complex reasoning and programming tasks. It provides a comprehensive suite of tools for managing distributed training jobs across multi-node clusters, enabling the development of high-performance models through reinforcement learning and supervised fine-tuning. The project distinguishes itself by integrating secure, containerized code execution environments directly into the training and evaluation lifecycle. By allowing models to run and verify code snippets against test
Trains smaller student models by leveraging reasoning traces and high-quality outputs generated by larger, more capable teacher models.
Python
