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README.md
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---
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language:
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- en
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library_name: transformers
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tags:
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- chemistry
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- molecule-optimization
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- agentic-rl
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- grpo
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license: apache-2.0
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datasets:
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- little1d/mol_opt_data
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base_model:
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- little1d/MolEditAgent-3B
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---
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# MolOptAgent-{3B/7B}
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**MolOptAgent** is the Stage-2 model of the **MolAct** framework, continued training from MolEditAgent using **Agentic Reinforcement Learning (GRPO)**.
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### Key Features
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- **Objective:** Optimized for multi-step molecular property optimization (e.g., LogP, Solubility, QED, Bioactivity).
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- **Zero-Tolerance for Errors:** Guided by real-time tool feedback, it minimizes "Chemical Hallucinations" and ensures nearly 100% molecular validity.
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- **Performance:** Outperforms strong reasoning models like Claude-3.7 and DeepSeek-R1 in complex property-guided editing tasks.
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### Links
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- **GitHub Repository:** [https://github.com/little1d/MolAct](https://github.com/little1d/MolAct)
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- **Framework:** Agentic RL with tool-integrated feedback.
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