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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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+
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+ # MolOptAgent-{3B/7B}
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+
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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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+
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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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+
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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.