Instructions to use NikitaKlimenko/HypergraphFormer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NikitaKlimenko/HypergraphFormer with PEFT:
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- Notebooks
- Google Colab
- Kaggle
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Verified signature--- license: apache-2.0 language: - en base_model: Qwen/Qwen3-4B-Instruct-2507 pipeline_tag: text-generation library_name: peft tags: - lora - peft - qwen3 - floorplan - hypergraph --- # HypergraphFormer LoRA adapters fine-tuning **Qwen/Qwen3-4B-Instruct-2507** for hypergraph-based floorplan generation. The repo contains several adapters trained on different dataset sizes. Link to paper: https://arxiv.org/abs/2605.18932 ## Checkpoints | Subfolder | Train samples | Step | |---|---|---| | `qwen_hypergraphformer_1000_samples/checkpoint-240` | 1,000 | 240 | | `qwen_hypergraphformer_5000_samples/checkpoint-750` | 5,000 | 750 | | `qwen_hypergraphformer_10000_samples/checkpoint-1500`| 10,000 | 1500 | | `qwen_hypergraphformer_25000_samples/checkpoint-3900`| 25,000 | 3900 | | `qwen_hypergraphformer/checkpoint-8700` | full | 8700 | ## LoRA configuration - Rank `r = 64`, `lora_alpha = 128`, `lora_dropout = 0.1` - Target modules: `q_proj, k_proj, v_proj, o_p…d9a7566 -
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