Update README.md

README.md

@@ -18,13 +18,13 @@ tags:
 
 # Nemotron-Terminal Model Family
 
-**Nemotron-Terminal** is a family of models specialized for autonomous terminal interaction, fine-tuned from the Qwen3 base (8B, 14B, and 32B). Developed by NVIDIA, these models utilize [Terminal-Corpus](https://huggingface.co/datasets/nvidia/Terminal-Corpus), a large-scale open-source dataset for terminal tasks, to achieve performance that rivals frontier models many times their size.
+**Nemotron-Terminal** is a family of models specialized for autonomous terminal interaction, fine-tuned from the Qwen3 (8B, 14B, and 32B). Developed by NVIDIA, these models utilize [Terminal-Corpus](https://huggingface.co/datasets/nvidia/Terminal-Corpus), a large-scale open-source dataset for terminal tasks, to achieve performance that rivals frontier models many times their size.
 
 
 ## Model Variants
 We release the following variants of the Nemotron-Terminal family:
 
-- Nemotron-Terminal-8B
+- **Nemotron-Terminal-8B**
 - Nemotron-Terminal-14B
 - Nemotron-Terminal-32B
 
@@ -34,9 +34,9 @@ The Nemotron-Terminal family demonstrates profound leaps in capability compared
 
 | Model | Size | Base Accuracy | **Nemotron-Terminal Accuracy** |
 | :--- | :---: | :---: | :---: |
-| Nemotron-Terminal-8B | 8B | 2.47% | **13.0%** |
+| **Nemotron-Terminal-8B** | 8B | 2.47% | **13.0%** |
 | Nemotron-Terminal-14B | 14B | 4.04% | **20.2%** |
-| **Nemotron-Terminal-32B** | 32B | 3.37% | **27.4%** |
+| Nemotron-Terminal-32B | 32B | 3.37% | **27.4%** |
 
 ## Usage
 The models are trained using the **Terminus 2** scaffolding and output a structured JSON format.