xLAM-2-3b-fc-r-gguf

pip install huggingface-hub

huggingface-cli login

pip install llama-cpp-python

from llama_cpp import Llama
llm = Llama(
      model_path="[PATH-TO-MODEL]"
)
output = llm.create_chat_completion(
      messages = [
        {
          "role": "system",
          "content": "You are a helpful assistant that can use tools. You are developed by Salesforce xLAM team."

        },
        {
          "role": "user",
          "content": "Extract Jason is 25 years old"
        }
      ],
      tools=[{
        "type": "function",
        "function": {
          "name": "UserDetail",
          "parameters": {
            "type": "object",
            "title": "UserDetail",
            "properties": {
              "name": {
                "title": "Name",
                "type": "string"
              },
              "age": {
                "title": "Age",
                "type": "integer"
              }
            },
            "required": [ "name", "age" ]
          }
        }
      }],
      tool_choice={
        "type": "function",
        "function": {
          "name": "UserDetail"
        }
      }
)
print(output['choices'][0]['message'])