Update README.md

README.md

@@ -83,21 +83,24 @@ print("thinking content:", thinking_content)
 print("content:", content)
 ```
 
-For deployment, you can use `vllm>=0.8.5` or `sglang>=0.4.5.post2` to create an OpenAI-compatible API endpoint:
+For deployment, you can use `sglang>=0.4.6.post1` or `vllm>=0.8.4` or  to create an OpenAI-compatible API endpoint:
+- SGLang:
+    ```shell
+    python -m sglang.launch_server --model-path Qwen/Qwen3-0.6B --reasoning-parser qwen3
+    ```
 - vLLM:
     ```shell
     vllm serve Qwen/Qwen3-0.6B --enable-reasoning --reasoning-parser deepseek_r1
     ```
-- SGLang:
+
-    ```shell
+For local use, applications such as llama.cpp, Ollama, LMStudio, and MLX-LM have also supported Qwen3.
-    python -m sglang.launch_server --model-path Qwen/Qwen3-0.6B --reasoning-parser deepseek-r1
+
-    ```
 
 ## Switching Between Thinking and Non-Thinking Mode
 
 > [!TIP]
-> The `enable_thinking` switch is also available in APIs created by vLLM and SGLang. 
+> The `enable_thinking` switch is also available in APIs created by SGLang and vLLM. 
-> Please refer to our documentation for [vLLM](https://qwen.readthedocs.io/en/latest/deployment/vllm.html#thinking-non-thinking-modes) and [SGLang](https://qwen.readthedocs.io/en/latest/deployment/sglang.html#thinking-non-thinking-modes) users.
+> Please refer to our documentation for [SGLang](https://qwen.readthedocs.io/en/latest/deployment/sglang.html#thinking-non-thinking-modes) and [vLLM](https://qwen.readthedocs.io/en/latest/deployment/vllm.html#thinking-non-thinking-modes) users.
 
 ### `enable_thinking=True`
 
@@ -117,7 +120,6 @@ In this mode, the model will generate think content wrapped in a `<think>...</th
 > [!NOTE]
 > For thinking mode, use `Temperature=0.6`, `TopP=0.95`, `TopK=20`, and `MinP=0` (the default setting in `generation_config.json`). **DO NOT use greedy decoding**, as it can lead to performance degradation and endless repetitions. For more detailed guidance, please refer to the [Best Practices](#best-practices) section.
 
-
 ### `enable_thinking=False`
 
 We provide a hard switch to strictly disable the model's thinking behavior, aligning its functionality with the previous Qwen2.5-Instruct models. This mode is particularly useful in scenarios where disabling thinking is essential for enhancing efficiency.