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JJYDXFS/RAMP_7B_mp_2_ratio_0.1
RAMP_7B_mp_2_ratio_0.1 is a machine learning model from JJYDXFS. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
RAMP (Raw-text Anchored Message Passing) recasts the LLM as a graph-native aggregation operator on text-rich graphs. This checkpoint is pretrained with 2 message passing layers and compression ratio 0.1.
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From the Hugging Face model README
RAMP (Raw-text Anchored Message Passing) recasts the LLM as a graph-native aggregation operator on text-rich graphs. This checkpoint is pretrained with 2 message passing layers and compression ratio 0.1.
For training, evaluation, and usage details, see our GitHub repo.
@article{zhang2026llm,
title={LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs},
author={Zhang, Ying and Yu, Hang and Zhang, Haipeng and Di, Peng},
journal={arXiv preprint arXiv:2603.14937},
year={2026}
}