| --- |
| license: mit |
| base_model: |
| - Qwen/Qwen3-4B-Instruct-2507 |
| --- |
| |
| ## **LiteCoder-Terminal-4b-sft** |
|
|
| **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** |
|
|
| | 2026/04/13 | | | |
| | --- | --- | --- | |
| | LiteCoder-Terminal-30b-a3b-sft | Model | [**https://huggingface.co/Lite-Coder/LiteCoder-Terminal-30b-a3b-sft**](https://huggingface.co/Lite-Coder/LiteCoder-Terminal-30b-a3b-sft) | |
| | LiteCoder-Terminal-4b-sft | Model | [**https://huggingface.co/Lite-Coder/LiteCoder-Terminal-4b-sft**](https://huggingface.co/Lite-Coder/LiteCoder-Terminal-4b-sft) | |
| | LiteCoder-Terminal-SFT | Dataset | [**https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-SFT**](https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-SFT/settings) | |
| | LiteCoder-Terminal-World-Model-SFT | Dataset | [**https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-World-Model-SFT**](https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-World-Model-SFT) | |
| | LiteCoder-Terminal-RL-preview | Dataset | [**https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-RL-preview**](https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-RL-preview/tree/main) | |
|
|
| ## **Results** |
|
|
| ### Terminal Bench 1.0 Performance |
|
|
| | Model | Agent | pass@1 | pass@4 | |
| | --- | --- | --- | --- | |
| | **LiteCoder-Terminal-30b-a3b-sft** | Terminus 2 | **24.38%** | **30%** | |
| | 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 | **13.44%** | **30%** | |
| | 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% | |
| | **LiteCoder-Terminal-4b-sft** | Terminus 2 | **5.62%** | **12.36%** | |
| | Qwen3-30B-A3B-Instruct | Terminus 2 | 5.34% | 11.24% | |
| | 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% | |
| | Qwen3-30B-A3B-Nex-N1 | Openhands | 21.0% | |
| | Qwen3-30B-A3B-Instruct | Terminus 2 | 20.5% | |
| | OpenThinker-Agent-v1 | Terminus 2 | 19.5% | |
| | **LiteCoder-Terminal-4b-sft** | Terminus 2 | **15.5%** | |
| | LiteCoder-4b-Terminal-preview | Terminus 2 | 15.0% | |
| | Qwen3-4B-Instruct | Terminus 2 | 3.5% | |
|
|
| ## **Citation** |
|
|
| ```bash |
| @misc{litecoder2026, |
| title={LiteCoder: Advancing Small and Medium-sized Code Agents}, |
| author={Xiaoxuan Peng and Xinyu Lu and Kaiqi Zhang and Taosong Fang and Boxi Cao and Yaojie Lu}, |
| year={2026}, |
| } |
| ``` |
