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RAIF-DeepScaleR-1.5B

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Hi! This PR significantly improves the model card for yolay/RAIF-DeepScaleR-1.5B by adding:

• Comprehensive metadata tags including license, language, and metrics for better discoverability.
• The full abstract of the paper "Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models".
• A high-level overview of the RAIF method from the project's GitHub README.
• The detailed "Table 2" performance metrics on ComplexBench, which was previously missing.
• A "Sample Usage" section with Python code snippets using the transformers library, demonstrating both basic text generation and chat completion with the model's specific chat template.
• A link to the related Hugging Face collection.

These updates aim to provide users with a more complete understanding of the model, its capabilities, and how to use it effectively.