Nemotron-Terminal-14B is a 14 billion parameter model developed by NVIDIA, fine-tuned from Qwen3, and specialized for autonomous terminal interaction. It leverages the Nemotron-Terminal-Corpus dataset to achieve high performance on terminal tasks, significantly outperforming its Qwen3 baseline. This model is designed to generate structured JSON outputs for terminal commands and plans, making it ideal for automating command-line operations and system management.
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Nemotron-Terminal-14B Overview
Nemotron-Terminal-14B is a 14 billion parameter model from the Nemotron-Terminal family, developed by NVIDIA. It is fine-tuned from the Qwen3 architecture and specifically designed for autonomous terminal interaction. The model was trained using the extensive Nemotron-Terminal-Corpus dataset, which focuses on terminal-specific tasks.
Key Capabilities
- Specialized for Terminal Tasks: Demonstrates significant performance improvements over its Qwen3 baseline on the Terminal-Bench 2.0, achieving 20.2% accuracy compared to the baseline's 4.04%.
- Structured Output: Generates structured JSON outputs, including analysis, step-by-step plans, and specific keystroke commands, facilitating automated execution.
- Terminus 2 Scaffolding: Utilizes the Terminus 2 scaffolding for training and is recommended for consistent evaluation.
Good for
- Automating complex command-line operations.
- Developing agents for system administration and task execution in terminal environments.
- Research and development in autonomous computing and human-computer interaction via command-line interfaces.