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@@ -17,7 +17,7 @@ Compared with the state-of-the-art opensource language models, including the pre
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  Qwen2-7B-Instruct-GPTQ-Int4 supports a context length of up to 131,072 tokens, enabling the processing of extensive inputs. Please refer to [this section](#processing-long-texts) for detailed instructions on how to deploy Qwen2 for handling long texts.
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- For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwen2/) and [GitHub](https://github.com/QwenLM/Qwen2).
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  **Note**: If you encounter ``RuntimeError: probability tensor contains either `inf`, `nan` or element < 0`` during inference with ``transformer``, we recommand installing ``autogpq>=0.7.1`` or [deploying this model with vLLM](https://qwen.readthedocs.io/en/latest/deployment/vllm.html).
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  <br>
 
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  Qwen2-7B-Instruct-GPTQ-Int4 supports a context length of up to 131,072 tokens, enabling the processing of extensive inputs. Please refer to [this section](#processing-long-texts) for detailed instructions on how to deploy Qwen2 for handling long texts.
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+ For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwen2/), [GitHub](https://github.com/QwenLM/Qwen2), and [Documentation](https://qwen.readthedocs.io/en/latest/).
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  **Note**: If you encounter ``RuntimeError: probability tensor contains either `inf`, `nan` or element < 0`` during inference with ``transformer``, we recommand installing ``autogpq>=0.7.1`` or [deploying this model with vLLM](https://qwen.readthedocs.io/en/latest/deployment/vllm.html).
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  <br>