by NJUxlj · Agent Tool · ★ 80
基于Qwen2.5+LoRA微调+RLHF+RAG的旅游路径规划智能体 注: 如果各位运行项目出现问题无法解决的话,可以直接给我提issue,我会抽空fix的。 最好附上报错截图。 近期修复: 2026-04-15 代码全面审查与修复:共修复26个问题 训练器修复:ppo/dpo/grpo/sft初始化、参数误用、语法错误、混合精度 RAG系统:correctiverag实现、rag()方法、导入路径、数据库初始化逻辑 安全修复:移除toolexecutor中的eval安全风险 代码质量:环境变量配置、循环导入、代码重复、梯度检查点 导入路径:修复main.py、rag.py、ragwebdemo.py等处的所有导入错误 项目的组成部分 本项目希望借助轻量级大模型帮助用户在本地更好地规划旅行路径,提高旅行体验。本项目是基于Qwen2.5+SFT微调+RLHF+RAG的旅游路径规划智能体。 项目的整体框架如下: RAG系统 辅助工具: 工具调用系统 (Google Search + Weather API + Hotel Booking API + Plane Ticket API + Shortest Path API) 自定义的Prompt模板, 继承了...
| Stars | 80 |
| Forks | 6 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 61.6214568532374/100 |
| Open Issues | 5 |
| Last Updated | 2026-07-06 |
| Created | 2024-04-19 |
| Platforms | python |
| Est. Tokens | ~15k |
These tools work well together with Travel-Agent-based-on-Qwen2-RLHF for enhanced workflows:
Explore other popular agent tool tools:
Travel-Agent-based-on-Qwen2-RLHF is A travel agent based on Qwen2.5, fine-tuned by SFT + DPO/PPO/GRPO using traveling question-answer dataset, a mindmap can be output using the response. A RAG system is build upon the tuned qwen2, using. It is categorized as a Agent Tool with 80 GitHub stars.
Travel-Agent-based-on-Qwen2-RLHF is primarily written in Python. It covers topics such as agent, dpo, grpo.
You can find installation instructions and usage details in the Travel-Agent-based-on-Qwen2-RLHF GitHub repository at github.com/NJUxlj/Travel-Agent-based-on-Qwen2-RLHF. The project has 80 stars and 6 forks, indicating an active community.