Update README.md

README.md

@@ -13,7 +13,7 @@ base_model:
 # Granite-3.3-8B-Instruct
 
 **Model Summary:**
-Granite-3.3-8B-Instruct is a 8-billion parameter 128K context length language model fine-tuned for improved reasoning and instruction-following capabilities. Built on top of Granite-3.3-8B-Base, the model delivers significant gains on benchmarks for measuring generic performance including AlpacaEval-2.0 and Arena-Hard, and improvements in mathematics, coding, and instruction following. It also supports Fill-in-the-Middle (FIM) for code completion tasks and structured reasoning through \<think\>\<\/think\> and \<response\>\<\/response\> tags, providing clear separation between internal thoughts and final outputs. The model has been trained on a carefully balanced combination of permissively licensed data and curated synthetic tasks.
+Granite-3.3-8B-Instruct is a 8-billion parameter 128K context length language model fine-tuned for improved reasoning and instruction-following capabilities. Built on top of Granite-3.3-8B-Base, the model delivers significant gains on benchmarks for measuring generic performance including AlpacaEval-2.0 and Arena-Hard, and improvements in mathematics, coding, and instruction following. It has been trained with Fill-in-the-Middle (FIM) for code completion tasks and supprts structured reasoning through \<think\>\<\/think\> and \<response\>\<\/response\> tags, providing clear separation between internal thoughts and final outputs. The model has been trained on a carefully balanced combination of permissively licensed data and curated synthetic tasks.
 
 - **Developers:** Granite Team, IBM
 - **Website**: [Granite Docs](https://www.ibm.com/granite/docs/)
@@ -27,7 +27,7 @@ English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian,
 This model is designed to handle general instruction-following tasks and can be integrated into AI assistants across various domains, including business applications.
 
 **Capabilities**
-* **Thinking**
+* Thinking
 * Summarization
 * Text classification
 * Text extraction
@@ -36,7 +36,7 @@ This model is designed to handle general instruction-following tasks and can be
 * Code related tasks
 * Function-calling tasks
 * Multilingual dialog use cases
-* **Fill-in-the-middle**
+* Fill-in-the-middle
 * Long-context tasks including long document/meeting summarization, long document QA, etc.