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README.md

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+## **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},
+}
+```