(图片来自:https://semaphoreci.com/blog/function-calling) 2. Ollama模型及相关API_KEY的准备 2.1 安装Ollama Ollama中下载大语言模型,在本试验中,将使用Ollama部署本地模型Qwen:14b,通过ollama pull qwen:14b即可下载,在本机运行这个模型推荐16G内存/显存,如果内存或显存不够,可以下载qwen:7b版本,但Function...
最后通过SemanticKernel的KernelFunction的InvokeAsync进行真正的函数调用,获取到函数的回调内容,接着我们需要将模型的原始输出和回调内容一同添加到chatHistory后,再度递归发起GetChatMessageContentsAsync调用,这一次模型就会拿到前一次回调的城市天气内容来进行回答了。 第二次回调前的prompt如下,可以看到模型的输出虽然是json,...
if function_to_call := available_functions.get(tool.function.name): print('Calling function:', tool.function.name) print('Arguments:', tool.function.arguments) print('Function output:', function_to_call(**tool.function.arguments)) else: print('Function', tool.function.name, 'not found') ...
if function_to_call := available_functions.get(tool.function.name): print('Calling function:', tool.function.name) print('Arguments:', tool.function.arguments) print('Function output:', function_to_call(**tool.function.arguments)) else: print('Function', tool.function.name, 'not found') ...
solate:LlamaIndex 本地部署Qwen2.5 实现RAG OpenAI llama3调用api和openAI 一致,所以需要导入包 pip install openai 使用时 #ollama服务默认端 client = OpenAI( base_url='http://localhost:11434/', api_key='llama3.2:1b' ) function-caling function-calling:这个可以参考openai的写法,platform.openai.com/...
Does Spring AI support the Qwen large language model? Spring AI supports Ollama, so you just have to usethe Ollama starter package. Doesspring-ai-ollama-spring-boot-startersupport function calling? Spring AI does [1][2][3], but Ollama doesn't officially support function calling yet [4]...
Model: ollama/codeqwen Function calling: False Context window: 8000 Max tokens: 1200 Auto run: False API base: None Offline: True Curl output: Not local # Messages System Message: You are Open Interpreter, a world-class programmer that can execute code on the user's machine. ...
LLMs are not well suited to answering prompts that require mathematical operations. But through Ollama’s support for function calling, developers can tell an LLM to pick up a calculator and input values, then use the result. Or in a weather app, where the LLM will not understand c...
我还想了解的是，我下载了Qwen/Qwen2-7B-Instruct,它支持工具，但不能在Ollama中使用。
这里比较核心的部分就是将LLM回调的内容使用JSON序列化来检测是否涉及到函数调用,简单来讲由于类似qwen这样没有专门针对function calling专项微调过的(glm-4-9b原生支持function calling)模型,其function calling并不是每次都能准确的回调,所以这里我们需要对回调的内容进行反序列化和信息抽取,确保模型的调用符合回调函数的...