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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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# **QwQ-LCoT1-Merged**
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The QwQ-LCoT-7B-Instruct is a fine-tuned language model designed for advanced reasoning and instruction-following tasks. It leverages the Qwen2.5-7B base model and has been fine-tuned on the chain of thought reasoning datasets, focusing on chain-of-thought (CoT) reasoning for problems. 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.
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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