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Awesome GitHub RepositoriesPost-Training Configuration Recipes
Standardized configurations and recipes for fine-tuning and distilling language models.
Distinguishing note: Focuses on the workflow definition layer for post-training processes.
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Awesome Post-Training Configuration Recipes 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
Defines post-training workflows using predefined recipes for model distillation and fine-tuning.
Python
