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language: |
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- en |
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metrics: |
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- accuracy |
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# GraphGPT |
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GraphGPT is a graph-oriented Large Language Model tuned by Graph Instruction Tuning paradigm. |
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## Model Details |
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GraphGPT is a graph-oriented Large Language Model tuned by Graph Instruction Tuning paradigm based on the [Vicuna-7B-v1.5 model](https://huggingface.co/lmsys/vicuna-7b-v1.5). |
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* Developed by: [Data Intelligence Lab](https://sites.google.com/view/chaoh/group-join-us)@HKU |
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* Model type: An auto-regressive language model based on the transformer architecture. |
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* Finetuned from model: [Vicuna-7B-v1.5 model](https://huggingface.co/lmsys/vicuna-7b-v1.5). |
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## Model Sources |
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* Repository: [https://github.com/HKUDS/GraphGPT](https://github.com/HKUDS/GraphGPT) |
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* Paper: []() |
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* Project: [https://graphgpt.github.io/](https://graphgpt.github.io/) |
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## Uses |
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This version of GraphGPT is tuned utilizing the mixing instruction data, which is able to handle both node classification and link prediction for different graph datasets. |
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## How to Get Started with the Model |
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* Command line interface: Plaese refer to [https://github.com/HKUDS/GraphGPT](https://github.com/HKUDS/GraphGPT) to evaluate our GraphGPT. |
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* Gradio demo is under development. |
