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  - text-generation-inference
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  ---
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  <pre align="center">
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- ________ ________ _____ ___.
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- / / \ \ \ \/ \/ / / / \ \ / | |_ | __ \
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- / \_/. \ \ / / \_/. \ / ^ / | \_\ \
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- \_____\ \_/ \/\_/ \_____\ \_/ \____ | |___ /
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  </pre>
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  The **QwQ-4B-Instruct** is a lightweight and efficient fine-tuned language model for instruction-following tasks and reasoning. It is based on a quantized version of the **Qwen2.5-7B** model, optimized for inference speed and reduced memory consumption, while retaining robust capabilities for complex tasks.
 
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  - text-generation-inference
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  ---
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  <pre align="center">
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+ ________ ________ _____ ___.
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+ \_____ \ __ _ __\_____ \ / | | \_ |__
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+ / / \ \ \ \/ \/ / / / \ \ ______ / | |_ | __ \
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+ / \_/. \ \ / / \_/. \ /_____/ / ^ / | \_\ \
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+ \_____\ \_/ \/\_/ \_____\ \_/ \____ | |___ /
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+ \__> \__> |__| \/
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  </pre>
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  The **QwQ-4B-Instruct** is a lightweight and efficient fine-tuned language model for instruction-following tasks and reasoning. It is based on a quantized version of the **Qwen2.5-7B** model, optimized for inference speed and reduced memory consumption, while retaining robust capabilities for complex tasks.