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MedResearcher-R1-32B

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This PR significantly enhances the model card for MedResearcher-R1-32B by:

• Adding library_name: transformers to the metadata, enabling the automated code snippet on the Hugging Face Hub, as confirmed by the model's config.json (Qwen2ForCausalLM architecture, transformers_version, and Qwen2Tokenizer class).
• Setting pipeline_tag: text-generation to ensure the model is discoverable for relevant tasks at https://huggingface.co/models?pipeline_tag=text-generation, aligning with its role as an LLM-based agent.
• Integrating a more comprehensive description of the MedResearcher-R1 framework, including its key features, performance highlights, and open-sourced dataset, directly sourced from the project's GitHub README. This provides a richer context for the model's capabilities.
• Adding a "Quick start: Run Model for Evaluation" section with a sglang server setup, directly reflecting usage instructions found in the GitHub repository, to guide users on how to deploy and evaluate the model.
• Correcting the BibTeX citation format for better parsing and consistency.
• Including the Star History chart from the GitHub README for community engagement.

These changes aim to provide a more informative and user-friendly experience for anyone interacting with the model on the Hub. The existing arXiv paper link and GitHub repository link are maintained.