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MiniCPM-o-2_6-gguf

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This PR significantly enhances the model card for openbmb/MiniCPM-o-2_6-gguf by:

• Adding license: apache-2.0 and library_name: transformers to the metadata. The library_name is justified by the presence of transformers-based code examples in the official GitHub repository, enabling automated "How to use" snippets on the Hub.
• Updating the model description with key highlights and a clear introduction of MiniCPM-o 2.6, linking it to its foundational paper MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe.
• Including direct links to the main GitHub repository (https://github.com/OpenBMB/MiniCPM-V) and the project homepage (https://minicpm-omni-webdemo-us.modelbest.cn/).
• Adding a "Quickstart" section with a Python code snippet demonstrating how to use the base MiniCPM-o 2.6 model with the Hugging Face transformers library, as found in the original project's GitHub README.
• Retaining and clearly separating the existing, valuable instructions for converting to and using the GGUF format with llama.cpp.
• Adding a citation section for proper attribution.

These changes aim to make the model card more informative, discoverable, and user-friendly for a wider audience, catering to both transformers users and those utilizing the GGUF format.