Update README.md

README.md

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----
-license: cc-by-4.0
----
+---
+library_name: transformers
+license: other
+license_name: nvidia-open-model-license
+license_link: >-
+  https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
+pipeline_tag: text-generation
+language:
+  - en
+tags:
+  - nvidia
+  - nemotron-terminal
+  - terminal
+  - code-agent
+  - SFT
+  - pytorch
+---
+
+# 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.
+
+[Image of Terminal-Task-Gen pipeline architecture]
+
+## Model Variants
+We release the following variants of the Nemotron-Terminal family:
+
+- Nemotron-Terminal-8B
+- Nemotron-Terminal-14B
+- Nemotron-Terminal-32B
+
+
+## Performance on Terminal-Bench 2.0
+The Nemotron-Terminal family demonstrates profound leaps in capability compared to the Qwen3 baselines across multiple specialized categories.
+
+| Model | Size | Base Accuracy | **Nemotron-Terminal Accuracy** |
+| :--- | :---: | :---: | :---: |
+| Nemotron-Terminal-8B | 8B | 2.47% | **13.0%** |
+| Nemotron-Terminal-14B | 14B | 4.04% | **20.2%** |
+| **Nemotron-Terminal-32B** | 32B | 3.37% | **27.4%** |
+
+## Usage
+The models are trained using the **Terminus 2** scaffolding and output a structured JSON format.
+
+### Expected Output Format
+```json
+{
+  "analysis": "Analysis of the current terminal state...",
+  "plan": "Step-by-step plan for the next command...",
+  "commands": [
+    {
+      "keystrokes": "ls -la\n",
+      "duration": 0.1
+    }
+  ],
+  "task_complete": false
+}
+
+