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@@ -69,7 +69,7 @@ The **QwQ-4B-Instruct** is a lightweight and efficient fine-tuned language model
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  ### **Training Dataset:**
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- - **Dataset Name:** [amphora/QwQ-LongCoT-130K](https://huggingface.co/amphora/QwQ-LongCoT-130K)
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  - **Size:** 133k examples.
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  - **Focus:** Chain-of-Thought reasoning for detailed and logical outputs.
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  ### **Training Dataset:**
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+ - **Dataset Name:** [amphora/QwQ-LongCoT-130K](https://huggingface.co/datasets/amphora/QwQ-LongCoT-130K)
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  - **Size:** 133k examples.
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  - **Focus:** Chain-of-Thought reasoning for detailed and logical outputs.
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