---
title: TerminalTraj-7B
canonical_url: "https://www.modelscope.ai/models/m-a-p/TerminalTraj-7B"
md_url: "https://www.modelscope.ai/models/m-a-p/TerminalTraj-7B.md"
repository: m-a-p/TerminalTraj-7B
last_updated: 2026-02-14
model_type:
  - qwen2
architectures:
  - Qwen2ForCausalLM
parameters: 7.6B
tensor_type:
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 140
stars: 0
---

# TerminalTraj-7B

> TerminalTraj-7B - An open-source model by m-a-p on ModelScope. This is the 7B model for the paper Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments.

- **Repository**: m-a-p/TerminalTraj-7B
- **Parameters**: 7.6B
- **Downloads**: 140
- **Stars**: 0
- **Last updated**: 2026-02-14

Source: https://www.modelscope.ai/models/m-a-p/TerminalTraj-7B

---

This is the 7B model for the paper [Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments](https://huggingface.co/papers/2602.01244).

## Citation

**BibTeX:**

```bibtex
@misc{wu2026largescaleterminalagentictrajectory,
      title={Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments}, 
      author={Siwei Wu and Yizhi Li and Yuyang Song and Wei Zhang and Yang Wang and Riza Batista-Navarro and Xian Yang and Mingjie Tang and Bryan Dai and Jian Yang and Chenghua Lin},
      year={2026},
      eprint={2602.01244},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2602.01244}, 
}
```