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@@ -153,7 +153,7 @@ The model was evaluated on OpenLLM Leaderboard [V1](https://huggingface.co/space
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  ## Inference Performance
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- This model achieves up to xxx speedup in single-stream deployment and up to xxx speedup in multi-stream asynchronous deployment, depending on hardware and use-case scenario.
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  The following performance benchmarks were conducted with [vLLM](https://docs.vllm.ai/en/latest/) version 0.7.2, and [GuideLLM](https://github.com/neuralmagic/guidellm).
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  <details>
 
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  ## Inference Performance
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+ This model achieves up to 1.87x speedup in single-stream deployment and up to 1.69x speedup in multi-stream asynchronous deployment, depending on hardware and use-case scenario.
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  The following performance benchmarks were conducted with [vLLM](https://docs.vllm.ai/en/latest/) version 0.7.2, and [GuideLLM](https://github.com/neuralmagic/guidellm).
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  <details>