WayneJin0918/SRUM

Official repo of paper "SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models". A post-training framework that creates a cost-effective, self-iterative optimization loop.

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SRUM is a post-training framework designed to improve the generative abilities of existing large multimodal models. It takes an already-trained multimodal model and fine-tunes it, using its own understanding capabilities to enhance its generation. The result is a more capable model that can generate higher quality outputs, making it useful for AI researchers and machine learning engineers who work with multimodal AI.

Use this if you are an AI researcher or machine learning engineer looking to enhance the generative performance of unified multimodal models after their initial training.

Not ideal if you are an end-user without experience in AI model fine-tuning or looking for a ready-to-use application.

multimodal-AI large-language-models model-optimization generative-AI machine-learning-engineering
No Package No Dependents
Maintenance 6 / 25
Adoption 9 / 25
Maturity 15 / 25
Community 9 / 25

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Stars

96

Forks

6

Language

Python

License

Apache-2.0

Last pushed

Nov 26, 2025

Commits (30d)

0

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