Improve model card with metadata and links

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale
+
+The model was presented in the paper [MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at
+  Scale](https://huggingface.co/papers/2506.04405).
+
+# Paper abstract
+
+We introduce MedAgentGYM, the first publicly available training environment
+designed to enhance coding-based medical reasoning capabilities in large
+language model (LLM) agents. MedAgentGYM comprises 72,413 task instances across
+129 categories derived from authentic real-world biomedical scenarios. Tasks
+are encapsulated within executable coding environments, each featuring detailed
+task descriptions, interactive feedback mechanisms, verifiable ground-truth
+annotations, and scalable training trajectory generation. Extensive
+benchmarking of over 30 LLMs reveals a notable performance disparity between
+commercial API-based models and open-source counterparts. Leveraging
+MedAgentGYM, Med-Copilot-7B achieves substantial performance gains through
+supervised fine-tuning (+36.44%) and continued reinforcement learning
+(+42.47%), emerging as an affordable and privacy-preserving alternative
+competitive with gpt-4o. By offering both a comprehensive benchmark and
+accessible, expandable training resources within unified execution
+environments, MedAgentGYM delivers an integrated platform to develop LLM-based
+coding assistants for advanced biomedical research and practice.
+
+Project page: [https://huggingface.co/MedAgentGym](https://huggingface.co/MedAgentGym)
+
+Code: [https://github.com/MedAgentGym/MedAgentGym](https://github.com/MedAgentGym/MedAgentGym) (Please replace with the actual link if different)