Update README.md

README.md

@@ -42,17 +42,17 @@ Huggingface [04/25/2025] via https://huggingface.co/nvidia/OpenCode-Nemotron-14B
 
 
 ## Input
-**Input Type(s):** Text <br>
-**Input Format(s):** String <br>
-**Input Parameters:** One-Dimensional (1D) <br>
-**Other Properties Related to Input:** Context length up to 32,768 tokens <br>
+- **Input Type(s):** Text <br>
+- **Input Format(s):** String <br>
+- **Input Parameters:** One-Dimensional (1D) <br>
+- **Other Properties Related to Input:** Context length up to 32,768 tokens <br>
 
 
 ## Output
-**Output Type(s):** Text <br>
-**Output Format:** String <br>
-**Output Parameters:** One-Dimensional (1D) <br>
-**Other Properties Related to Output:** Context length up to 32,768 tokens <br> 
+- **Output Type(s):** Text <br>
+- **Output Format:** String <br>
+- **Output Parameters:** One-Dimensional (1D) <br>
+- **Other Properties Related to Output:** Context length up to 32,768 tokens <br> 
 
 Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions. <br> 
 
@@ -93,8 +93,8 @@ We used the datasets listed in the next section to evaluate OpenCodeReasoning-32
 
 
 ## Inference
-**Engine:** vLLM <br>
-**Test Hardware** NVIDIA H100-80GB <br>
+- **Engine:** vLLM <br>
+- **Test Hardware** NVIDIA H100-80GB <br>
 
 
 ## Ethical Considerations: