neuralmagic
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Qwen2.5-VL-7B-Instruct-quantized.w4a16

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text-generation-inference

Inference Endpoints

compressed-tensors

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shubhrapandit commited on 25 days ago

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@@ -309,7 +309,7 @@ lm_eval \
 ## Inference Performance
-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.
 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).
 <details>

 ## Inference Performance
+This model achieves up to 2.35x speedup in single-stream deployment and up to 2.02x speedup in multi-stream asynchronous deployment, depending on hardware and use-case scenario.
 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).
 <details>