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MetaMath-Mistral-7B-DFT2

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This PR significantly improves the model card for siqi00/MetaMath-Mistral-7B-DFT2 by:

• Adding the pipeline_tag: text-generation to the metadata, which ensures proper categorization and discoverability on the Hugging Face Hub.
• Including direct links to the paper (Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data) and the official GitHub repository (https://github.com/PenGuln/DFT).
• Populating the "Model description", "Intended uses & limitations", and "Training and evaluation data" sections with detailed information extracted from the paper abstract and the project's GitHub README.
• Adding comprehensive "Performance" tables for both mathematical reasoning and general language tasks, making the model's capabilities clear at a glance.
• Providing a practical "Usage" example to help users quickly get started with text generation and chat completion.
• Including detailed sections on "Installation", "Generating negative samples", "Evaluation", and "Precompute Log-likelihood" from the GitHub repository, enhancing reproducibility and practical utility.
• Adding the BibTeX "Citation" for proper academic attribution.
• Removing the automatically generated comment at the top.

This update makes the model card much more informative and user-friendly for the community.