Update README.md

README.md

@@ -13,7 +13,7 @@ base_model:
 # Granite-3.3-2B-Instruct
 
 **Model Summary:**
-Granite-3.3-2B-Instruct is a 2-billion parameter 128K context length language model fine-tuned for improved reasoning and instruction-following capabilities. Built on top of Granite-3.3-2B-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-3.3-2B-Instruct is a 2-billion parameter 128K context length language model fine-tuned for improved reasoning and instruction-following capabilities. Built on top of Granite-3.3-2B-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 also been trained with Fill-in-the-Middle (FIM) for code completion tasks and supports 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
@@ -29,7 +29,7 @@ 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
@@ -38,7 +38,7 @@ 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.