Update README.md

README.md

@@ -281,14 +281,14 @@ lm_eval \
 ## Inference Performance
 
 
-This model achieves up to 1.6x speedup in both single-stream and multi-stream asynchronous deployment, depending on hardware and use-case scenario.
+This model achieves up to 2.6x speedup in single-stream deployment and up to 1.5x 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 0.6.7.2, and [GuideLLM](https://github.com/neuralmagic/guidellm).
 
 <details>
 <summary>Benchmarking Command</summary>
 
 ```
-guidellm --model neuralmagic/DeepSeek-R1-Distill-Qwen-7B-quantized.w8a8 --target "http://localhost:8000/v1" --data-type emulated --data "prompt_tokens=<prompt_tokens>,generated_tokens=<generated_tokens>" --max seconds 360 --backend aiohttp_server
+guidellm --model neuralmagic/DeepSeek-R1-Distill-Qwen-7B-quantized.w4a16 --target "http://localhost:8000/v1" --data-type emulated --data "prompt_tokens=<prompt_tokens>,generated_tokens=<generated_tokens>" --max seconds 360 --backend aiohttp_server
 ```
 </details>