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Model: nvidia/Nemotron-Terminal-32B
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2026-06-15 14:16:29 +08:00
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---
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 (8B, 14B, and 32B). Developed by NVIDIA, these models utilize [Nemotron-Terminal-Corpus](https://huggingface.co/datasets/nvidia/Nemotron-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-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.
For evaluation on Terminal Bench 2.0, we encourage using Terminus 2 scaffolding to maintain consistency with training.
### 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
}
```
## 📜 Citation
If you use this dataset in your research, please cite the following work:
```bibtex
@misc{pi2026dataengineeringscalingllm,
title={On Data Engineering for Scaling LLM Terminal Capabilities},
author={Renjie Pi and Grace Lam and Mohammad Shoeybi and Pooya Jannaty and Bryan Catanzaro and Wei Ping},
year={2026},
eprint={2602.21193},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2602.21193},
}

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{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0].role == 'system' %}
{{- messages[0].content + '\n\n' }}
{%- endif %}
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- for message in messages[::-1] %}
{%- set index = (messages|length - 1) - loop.index0 %}
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- endif %}
{%- endfor %}
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{%- if message.content is string %}
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{%- else %}
{%- set content = '' %}
{%- endif %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
{%- endif %}
{%- endif %}
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{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '<think>\n\n</think>\n\n' }}
{%- endif %}
{%- endif %}

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"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": {},
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

1
vocab.json Normal file

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