Update README.md

README.md

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 Calcium-Opus-14B-Elite is based on the Qwen 2.5 14B modality architecture, designed to enhance the reasoning capabilities of 14B-parameter models. These models have proven effective in context understanding, reasoning, and mathematical problem-solving.It has been fine-tuned using a long chain-of-thought reasoning model and specialized datasets, with a focus on chain-of-thought (CoT) reasoning for problem-solving. This model is optimized for tasks requiring logical reasoning, detailed explanations, and multi-step problem-solving, making it ideal for applications such as instruction-following, text generation, and complex reasoning tasks.
 
+# **Open-Evals
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+| Rank | Type | Model                                    | Average | IFEval | BBH   | MATH  | GPQA  | MUSR  | MMLU  | CO₂ Consumption | Dated |
+|------|------|-----------------------------------------|---------|--------|-------|-------|-------|-------|-------|-----------------|---------|
+| 108  | 🔶   | [prithivMLmods/Calcium-Opus-14B-Elite](https://huggingface.co/prithivMLmods/Calcium-Opus-14B-Elite)   | 38.38   | 60.52  | 46.93 | 37.69 | 16.55 | 20.78 | 47.80 | 2.01 | 01/23/2025
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 Key improvements include:  
 1. **Enhanced Knowledge and Expertise**: The model demonstrates significantly more knowledge and greatly improved capabilities in coding and mathematics, thanks to specialized expert models in these domains.  
 2. **Improved Instruction Following**: It shows significant advancements in following instructions, generating long texts (over 8K tokens), understanding structured data (e.g., tables), and producing structured outputs, especially in JSON format.