Update README.md

README.md

@@ -86,7 +86,7 @@ and is comparable with Mistral-7B-Instruct-v0.1 on MMLU and MT-Bench in English.
 
 ## Inference Performance
 In this test, we use the first 700 characters of the [web article](https://health.udn.com/health/story/5976/7699252?from=udn_ch1005_main_index) as the input and ask the model to write the same article again.
-All models were inferenced with `vllm` on 2 NVIDIA RTX A6000  (TP=2).
+All inferences run on 2 RTX A6000 GPUs (using `vllm`, with a tensor-parallel size of 2).
 
 | Models                                                             | Inference Time (sec)|Estimated Max Input Length (Char)|
 |--------------------------------------------------------------------|-------------------|--------------------------|