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--- |
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base_model: |
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- prithivMLmods/QwQ-LCoT-7B-Instruct |
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- Qwen/Qwen2.5-7B-Instruct |
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- prithivMLmods/QwQ-LCoT2-7B-Instruct |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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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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### Merge Method |
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [prithivMLmods/QwQ-LCoT-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT-7B-Instruct) |
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* [prithivMLmods/QwQ-LCoT2-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT2-7B-Instruct) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: prithivMLmods/QwQ-LCoT2-7B-Instruct |
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- model: prithivMLmods/QwQ-LCoT-7B-Instruct |
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merge_method: model_stock |
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base_model: Qwen/Qwen2.5-7B-Instruct |
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normalize: true |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
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