Update README.md

README.md

@@ -84,7 +84,7 @@ Or you can install vLLM from [source](https://github.com/vllm-project/vllm/).
 3. **Model Deployment**: Utilize vLLM to deploy your model. For instance, you can set up an openAI-like server using the command:
 
  ```bash
- python -m vllm.entrypoints.openai.api_server --served-model-name Qwen2-7B-Instruct --model path/to/weights
+ python -m vllm.entrypoints.openai.api_server --served-model-name CarrotAI/Rabbit-Ko-15B-Instruct --model path/to/weights
  ```
 
  Then you can access the Chat API by:
@@ -101,9 +101,6 @@ Or you can install vLLM from [source](https://github.com/vllm-project/vllm/).
  }'
  ```
 
- For further usage instructions of vLLM, please refer to our [Github](https://github.com/QwenLM/Qwen2).
-
-
 ### Applications
 This fine-tuned model is particularly suited for [mention applications, e.g., chatbots, question-answering systems, etc.]. Its enhanced capabilities ensure more accurate and contextually appropriate responses in these domains.