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- ZJUVAI/GenesisGeo
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- Qwen/Qwen3-0.6B-Base
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- ZJUVAI/GenesisGeo
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base_model:
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- Qwen/Qwen3-0.6B-Base
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# GenesisGeo Model
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[📃Paper]() • [📚 Github](https://github.com/ZJUVAI/Newclid) • [📊 Dataset](https://huggingface.co/datasets/ZJUVAI/GenesisGeo)
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This model is **specialized in automated geometric theorem proving**, capable of proposing auxiliary constructions to solve challenging geometry problems. It forms the core of the [**GenesisGeo**](https://github.com/ZJUVAI/Newclid) project—a neuro-symbolic system that reproduces the AlphaGeometry framework using the Newclid infrastructure.
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Developed through large-scale synthetic training, this model demonstrates strong performance in geometric reasoning tasks. It is built upon the Qwen3-0.6B-Base architecture, fine-tuned specifically for generating auxiliary points and constructions in complex proof scenarios.
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## Model Description
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- **Architecture:** Transformer-based language model
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- **Base Model:** Qwen3-0.6B-Base
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- **Training Dataset:** [GenesisGeo Dataset](https://huggingface.co/datasets/ZJUVAI/GenesisGeo) (21.8 million synthetically generated geometric theorems)
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- **Purpose:** Proposing auxiliary constructions in geometric proofs within a neuro-symbolic reasoning loop
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## Performance
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The integrated neuro-symbolic system achieves:
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- **24/30** problems solved on the IMO-AG-30 benchmark
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- Close to the original AlphaGeometry performance (25/30)
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