Text Generation
Transformers
hyperlm_qwen3
hypergraph
large-language-models
qwen3
projector
hyper-align
hypergraph-as-language
Instructions to use MengqiLei/hyper-align with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MengqiLei/hyper-align with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MengqiLei/hyper-align")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("MengqiLei/hyper-align", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use MengqiLei/hyper-align with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MengqiLei/hyper-align" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MengqiLei/hyper-align", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MengqiLei/hyper-align
- SGLang
How to use MengqiLei/hyper-align with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "MengqiLei/hyper-align" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MengqiLei/hyper-align", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "MengqiLei/hyper-align" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MengqiLei/hyper-align", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MengqiLei/hyper-align with Docker Model Runner:
docker model run hf.co/MengqiLei/hyper-align
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If you use this checkpoint, please cite:
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```bibtex
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@
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title={Hypergraph as Language},
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author={
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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doi={10.48550/arXiv.2605.21858}
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}
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```
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If you use this checkpoint, please cite:
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```bibtex
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@article{lei2026hypergraph,
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title={Hypergraph as Language},
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author={Lei, Mengqi and Xie, Guohuan and Ying, Shihui and Du, Shaoyi and Yong, Jun-Hai and Li, Siqi and Gao, Yue},
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journal={arXiv preprint arXiv:2605.21858},
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year={2026}
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}
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```
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