初始化项目，由ModelHub XC社区提供模型

Model: Jianwen/Webshop-7B-SFT
Source: Original Platform

README.md

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+---
+license: mit
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- Qwen/Qwen2.5-7B-Instruct
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+## Introduction
+
+**SkillRL-Webshop-SFT** is a cold-start checkpoint for the webshop RL environment. 
+
+- Task: WebShop
+- Stage: SFT
+
+## Key Features
+
+- Experience-based Skill Distillation: Transforms successful trajectories into strategic patterns and failed ones into concise lessons from failure.
+
+- Hierarchical SKILLBANK: Organizes knowledge into General Skills for universal strategic guidance and Task-Specific Skills for category-level heuristics.
+
+- Recursive Skill Evolution: A dynamic mechanism where the skill library co-evolves with the agent's policy during RL by analyzing validation failures.
+
+- Context Efficiency: Achieves 10-20% token compression compared to raw trajectory storage while enhancing reasoning utility.
+
+## Download
+You can download the model then run the training scipts in https://github.com/aiming-lab/SkillRL.
+
+## Citation
+
+* [Model Paper](https://arxiv.org/abs/2602.08234)
+
+```bibtex
+@article{xia2026skillrl,
+  title={SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning},
+  author={Xia, Peng and Chen, Jianwen and Wang, Hanyang and Liu, Jiaqi and Zeng, Kaide and Wang, Yu and Han, Siwei and Zhou, Yiyang and Zhao, Xujiang and Chen, Haifeng and others},
+  journal={arXiv preprint arXiv:2602.08234},
+  year={2026}
+}
+```