| | --- |
| | license: apache-2.0 |
| | pipeline_tag: text-generation |
| | library_name: transformers |
| | base_model: |
| | - Qwen/Qwen3-8B |
| | datasets: |
| | - DedeProGames/Terminal-Reasoning-SFT |
| | tags: |
| | - text-generation |
| | - transformers |
| | - agent |
| | - reasoning |
| | - terminal |
| | - swe-bench |
| | --- |
| | |
| | # OpenAgent |
| |
|
| | <p align="center"> |
| | <img src="assets/logo.png" alt="OpenAgent logo" width="220"/> |
| | </p> |
| |
|
| | <p align="center"> |
| | <strong>OpenAgent</strong> is an open-source effort to curate the best datasets for training agents. |
| | </p> |
| |
|
| | --- |
| |
|
| | **OpenAgent** is a model trained for agentic tasks such as **Terminal-Bench 2.0** and **SWE-Bench**. |
| |
|
| | It was trained on the dataset: |
| |
|
| | - [`DedeProGames/Terminal-Reasoning-SFT`](https://huggingface.co/datasets/DedeProGames/Terminal-Reasoning-SFT) |
| |
|
| | OpenAgent is designed to improve performance on terminal-based reasoning, software engineering, and tool-using workflows. |
| |
|
| | --- |
| |
|
| | ## Benchmarks |
| |
|
| | | Model | Harness | Terminal-Bench 2.0 | SWE-Bench Verified | |
| | | --- | --- | ---: | ---: | |
| | | [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) | Terminus-2 | 0.0 | 0.7 | |
| | | **[OpenAgent](https://huggingface.co/DedeProGames/OpenAgent)** | Terminus-2 | **4.9** | **15.7** | |
| | | [Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B) | Terminus-2 | 1.9 | 5.7 | |
| | | [Qwen/Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct) | OpenHands | 10.1 | 49.2 | |
| |
|
| | --- |
| |
|
| | ## Hugging Face |
| |
|
| | - **Model:** [`DedeProGames/OpenAgent`](https://huggingface.co/DedeProGames/OpenAgent) |
| | - **Dataset:** [`DedeProGames/Terminal-Reasoning-SFT`](https://huggingface.co/datasets/DedeProGames/Terminal-Reasoning-SFT) |
| |
|
| | OpenAgent is an open-source effort focused on building stronger agentic models through better datasets, practical training, and real benchmark evaluation. |
