Update README.md

README.md

@@ -48,8 +48,31 @@ tags:
 | **Llama-3.2 (11B vision)**      | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(11B)-Vision.ipynb)               | 2x faster | 60% less |
 | **Qwen2.5 (7B)**      | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_(7B)-Alpaca.ipynb)               | 2x faster | 60% less |
 | **Phi-4 (14B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4-Conversational.ipynb)               | 2x faster | 50% less |
-# Qwen3-30B-A3B
 
+# To Switch Between Thinking and Non-Thinking
+If you are using llama.cpp, Ollama, Open WebUI etc., you can add `/think` and `/no_think` to user prompts or system messages to switch the model's thinking mode from turn to turn. The model will follow the most recent instruction in multi-turn conversations.
+
+Here is an example of multi-turn conversation:
+
+```
+> Who are you /no_think
+
+<think>
+
+</think>
+
+I am Qwen, a large-scale language model developed by Alibaba Cloud. [...]
+
+> How many 'r's are in 'strawberries'? /think
+
+<think>
+Okay, let's see. The user is asking how many times the letter 'r' appears in the word "strawberries". [...]
+</think>
+
+The word strawberries contains 3 instances of the letter r. [...]
+```
+
+# Qwen3-30B-A3B
 ## Qwen3 Highlights
 
 Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features: