初始化项目，由ModelHub XC社区提供模型

Model: sxiong/DeepControl-Qwen2.5-3B
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-3B-Instruct
+tags:
+  - qwen2.5
+  - deepcontrol
+  - search-augmented
+  - reinforcement-learning
+  - text-generation
+language:
+  - en
+pipeline_tag: text-generation
+---
+
+# DeepControl-Qwen2.5-3B
+
+Deep search agent checkpoint from Qwen2.5-3B-Instruct under *[Adaptive Information Control for Search-Augmented LLM Reasoning](https://arxiv.org/abs/2602.01672)* (EMNLP 2026).
+
+## Quick start
+
+See our repo [DeepControl](https://github.com/xiongsiheng/DeepControl) for more details.
+
+Recommended Configuration:
+
+| Setting | Value |
+|---|---:|
+| Inference dtype | BF16 |
+| Context length | 8,192 |
+| Generation temperature | 0 |
+| Maximum new tokens per action | 512 |
+| Maximum agent turns | 8 |
+| Retrieval top-k | 5 |
+| Retrieval corpus | Wikipedia 2018 (`wiki18`) |
+
+For example, the model server can be started with:
+
+```bash
+vllm serve sxiong/DeepControl-Qwen2.5-3B \
+  --dtype bfloat16 \
+  --max-model-len 8192
+```
+
+Loading the model alone does not provide retrieval. It requires the DeepControl system prompt, action parser, and `wiki18` corpus.
+
+## Citation
+
+```bibtex
+@article{xiong2026adaptive,
+  title={Adaptive Information Control for Search-Augmented LLM Reasoning},
+  author={Xiong, Siheng and Gungordu, Oguzhan and Kerce, James C and Fekri, Faramarz},
+  journal={arXiv preprint arXiv:2602.01672},
+  year={2026}
+}
+```