---
base_model:
- Qwen/Qwen3-4B-Instruct-2507
license: mit
library_name: transformers
pipeline_tag: text-generation
---

## **LiteCoder-Terminal-4b-sft**

[**Paper**](https://huggingface.co/papers/2605.29559) | [**Code**](https://github.com/icip-cas/LiteCoder) | [**Blog Post**](https://huggingface.co/blog/Lite-Coder/releasing-litecoder-terminal)

**LiteCoder-Terminal-4b-sft** is part of our latest release on lightweight code agents. The model is fine-tuned from `Qwen3-4B-Instruct-2507` on the [LiteCoder-Terminal-SFT](https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-SFT) dataset. 

Compared to our previous preview version, we scaled up the training data from under 1,000 samples to 11,255 trajectories, incorporating a broader task taxonomy and diverse agent scaffolds. With these updates, the model shows consistent improvements across Terminal Bench evaluations.

## **Released Artifacts**

| Date | Type | Link |
| --- | --- | --- |
| 2026/04/13 | Model | [**LiteCoder-Terminal-30b-a3b-sft**](https://huggingface.co/Lite-Coder/LiteCoder-Terminal-30b-a3b-sft) |
| 2026/04/13 | Model | [**LiteCoder-Terminal-4b-sft**](https://huggingface.co/Lite-Coder/LiteCoder-Terminal-4b-sft) |
| 2026/04/13 | Dataset | [**LiteCoder-Terminal-SFT**](https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-SFT) |
| 2026/04/13 | Dataset | [**LiteCoder-Terminal-World-Model-SFT**](https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-World-Model-SFT) |
| 2026/04/13 | Dataset | [**LiteCoder-Terminal-RL-preview**](https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-RL-preview) |
| 2026/04/13 | Code | [**icip-cas/LiteCoder**](https://github.com/icip-cas/LiteCoder) |

## **Results**

### Terminal Bench 1.0 Performance

| Model | Agent | pass@1 | pass@4 |
| --- | --- | --- | --- |
| **LiteCoder-Terminal-30b-a3b-sft** | Terminus 2 | **24.38%** | **40%** |
| Qwen3-30B-A3B-Nex-N1 | Openhands | 18.44% | 32.5% |
| LiteCoder-30a3b-Terminal-preview | Terminus 2 | 16.56% | 27.5% |
| Qwen3-30B-A3B-Instruct | Terminus 2 | 16.56% | 28.75% |
| **LiteCoder-Terminal-4b-sft** | Terminus 2 | **14.69%** | **28.75%** |
| OpenThinker-Agent-v1 | Terminus 2 | 11.25% | 25% |
| LiteCoder-4b-Terminal-preview | Terminus 2 | 9.38% | 20% |
| Qwen3-4B-Instruct | Terminus 2 | 6.25% | 15% |

### Terminal Bench 2.0 Performance

| Model | Agent | pass@1 | pass@4 |
| --- | --- | --- | --- |
| **LiteCoder-Terminal-30b-a3b-sft** | Terminus 2 | **12.36%** | **23.60%** |
| Qwen3-30B-A3B-Nex-N1 | Openhands | 12.36% | 23.60% |
| LiteCoder-30a3b-Terminal-preview | Terminus 2 | 6.18% | 13.75% |
| Qwen3-30B-A3B-Instruct | Terminus 2 | 5.34% | 11.24% |
| **LiteCoder-Terminal-4b-sft** | Terminus 2 | **4.78%** | **10.11%** |
| OpenThinker-Agent-v1 | Terminus 2 | 4.49% | 10.1% |
| LiteCoder-4b-Terminal-preview | Terminus 2 | 4.78% | 12.36% |
| Qwen3-4B-Instruct | Terminus 2 | 1.12% | 3.37% |

### Terminal Bench Pro Performance

| Model | Agent | pass@1 |
| --- | --- | --- |
| **LiteCoder-Terminal-30b-a3b-sft** | Terminus 2 | **31.5%** |
| LiteCoder-30a3b-Terminal-preview | Terminus 2 | 22.0% |
| **LiteCoder-Terminal-4b-sft** | Terminus 2 | **21.5%** |
| Qwen3-30B-A3B-Nex-N1 | Openhands | 21.0% |
| Qwen3-30B-A3B-Instruct | Terminus 2 | 20.5% |
| OpenThinker-Agent-v1 | Terminus 2 | 19.5% |
| LiteCoder-4b-Terminal-preview | Terminus 2 | 15.0% |
| Qwen3-4B-Instruct | Terminus 2 | 3.5% |

## **Citation**

```bibtex
@article{peng2026litecoderterminal,
  title={LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents},
  author={Peng, Xiaoxuan and Zhang, Kaiqi and Lu, Xinyu and Cao, Boxi and Lu, Yaojie and Lin, Hongyu and Han, Xianpei and Sun, Le},
  journal={arXiv preprint arXiv:2605.29559},
  year={2026}
}
```