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--- |
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license: other |
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language: |
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- en |
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pipeline_tag: text-generation |
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inference: false |
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tags: |
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- transformers |
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- gguf |
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- imatrix |
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- QwQ-LCoT-7B-Instruct |
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Quantizations of https://huggingface.co./prithivMLmods/QwQ-LCoT-7B-Instruct |
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### Inference Clients/UIs |
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* [llama.cpp](https://github.com/ggerganov/llama.cpp) |
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* [KoboldCPP](https://github.com/LostRuins/koboldcpp) |
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* [ollama](https://github.com/ollama/ollama) |
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* [text-generation-webui](https://github.com/oobabooga/text-generation-webui) |
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* [jan](https://github.com/janhq/jan) |
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* [GPT4All](https://github.com/nomic-ai/gpt4all) |
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# From original readme |
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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 **amphora/QwQ-LongCoT-130K** dataset, focusing on chain-of-thought (CoT) reasoning. |
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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 complex tasks. |
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### **Use Cases:** |
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1. **Instruction Following:** |
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Handle user instructions effectively, even for multi-step tasks. |
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2. **Reasoning Tasks:** |
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Perform logical reasoning and generate detailed step-by-step solutions. |
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3. **Text Generation:** |
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Generate coherent, context-aware responses. |
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