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This model achieves up to 1.6x speedup in both single-stream and 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.
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<details>
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<summary>Benchmarking Command</summary>
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This model achieves up to 1.6x speedup in both single-stream and 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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<summary>Benchmarking Command</summary>
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