LM Studio Support with Q4_K_S please?

README.md

@@ -25,8 +25,6 @@ library_name: transformers
 | IQuest-Coder-V1-40B-Instruct | [🤗 Hugging Face](https://huggingface.co/IQuestLab/IQuest-Coder-V1-40B-Instruct) |
 | IQuest-Coder-V1-40B-Loop-Instruct | [🤗 Hugging Face](https://huggingface.co/IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct) |
 
-[Clarification: Regarding the Performance of IQuest-Coder-V1](https://github.com/IQuestLab/IQuest-Coder-V1/issues/14#issuecomment-3705756919)
-
 ## Sampling Parameters
 For the IQuest-Coder-V1-Instruct: We suggest using Temperature=0.6, TopP=0.85, TopK=20.
 
@@ -124,13 +122,13 @@ model_name = "IQuest/IQuest-Coder-V1-40B-Thinking"
 For production deployment, you can use vLLM to create an OpenAI-compatible API endpoint. Please refer to the [vLLM PR](https://github.com/vllm-project/vllm/pull/31575/files) for implementation details.
 
 ```bash
-vllm serve IQuestLab/IQuest-Coder-V1-40B-Instruct --tensor-parallel-size 8
+vllm serve IQuest/IQuest-Coder-V1-40B-Instruct --tensor-parallel-size 8
 ```
 
 For Thinking models with reasoning support:
 
 ```bash
-vllm serve IQuestLab/IQuest-Coder-V1-40B-Thinking --reasoning-parser qwen3 --tensor-parallel-size 8
+vllm serve IQuest/IQuest-Coder-V1-40B-Thinking --reasoning-parser qwen3 --tensor-parallel-size 8
 ```