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README.md

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 QwQ-LCoT-14B-Conversational is a highly advanced AI model built upon the foundation of the Qwen 2.5 14B Instruct model, further refined and fine-tuned to handle complex, chain-of-thought-based long conversational scenarios. This fine-tuning enables the model to excel in tasks that require step-by-step reasoning, detailed explanations, and nuanced understanding of intricate topics. By leveraging its robust architecture and advanced training, QwQ-LCoT-14B-Conversational is optimized for use cases that demand precision, depth, and adaptability in dialogue. This makes it particularly effective for applications such as long-form discussions, detailed problem-solving, and multi-step reasoning processes, allowing it to cater to a broad range of complex and versatile use cases. Its ability to maintain coherent and meaningful conversations over extended contexts positions it as an ideal choice for scenarios requiring thoughtful and dynamic interaction.
 
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+| Rank | Type | Model                             | Average | IFEval | BBH   | MATH  | GPQA  | MUSR  | MMLU  | CO₂ C  | Dated |
+|------|------|-----------------------------------|---------|--------|-------|-------|-------|-------|-------|--------|----------|
+| 323  | 🔶   | [prithiv/MLmods/QwQ-LCoT-14B-Conversational](#) | 33.17   | 40.47  | 45.63 | 31.42 | 13.31 | 20.62 | 47.54 | 1.95 |01/20/2025|
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 ## **Key Features**
 
 ### **Enhanced Knowledge and Capabilities**