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换了个deepseek模型,就跑不下去了 #134
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这是模型没有办法很好的遵循指令造成的 |
是不是啊,我感觉也是,这个只能先用书生的模型来跑,至于是2还是2.5还没测试 |
书生有提供api服务吗?自己部署成本多高啊,deepseek现在可是llm界的pdd,价格便宜量又足 |
书生没有api,自己部署 |
siliconflow 上有 Internlm 的 API |
同问,InternLM-2.5系列模型是不是对对相应的指令进行了优化?使用其他模型就没有相应的效果,是不是需要微调以下才能有较好的效果? |
我在更换BingBrowser类的fetcher方法之后,模型还是会调用这个方法,说明InternLM确实对这个Agent的指令进行了优化 |
确实似乎是微调过的 |
需要修改提示词,看我这个issue:#233 |
python -m mindsearch.terminal
<|action_start|><|interpreter|>```python
初始化 WebSearchGraph 实例
graph = WebSearchGraph()
添加根节点
graph.add_root_node("上海今天适合穿什么衣服")
添加子问题节点:查询上海今天的天气
graph.add_node("weather_today", "上海今天的天气怎么样")
添加边:根节点到天气查询节点
graph.add_edge("root", "weather_today")
你的思考过程...<|action_start|><|plugin|>{"name": "BingBrowser.search", "parameters": {"query": ["上海今天天气"]}}<|action_end|>
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