functionary-medium-v3.1-GGUF

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functionary-medium-v3.1-GGUF

Original Model

meetkai/functionary-medium-v3.1

Run with LlamaEdge

• LlamaEdge version: v0.14.10 and above

• Prompt template

  • Prompt type: functionary-31

  • Prompt string

    <|start_header_id|>system<|end_header_id|>
    
    Environment: ipython
    
    Cutting Knowledge Date: December 2023
    
    
    You have access to the following functions:
    
    Use the function 'get_current_weather' to 'Get the current weather'
    {"name":"get_current_weather","description":"Get the current weather","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"}},"required":["location"]}}
    
    
    Think very carefully before calling functions.
    If a you choose to call a function ONLY reply in the following format:
    <{start_tag}={function_name}>{parameters}{end_tag}
    where
    
    start_tag => `<function`
    parameters => a JSON dict with the function argument name as key and function argument value as value.
    end_tag => `</function>`
    
    Here is an example,
    <function=example_function_name>{"example_name": "example_value"}</function>
    
    Reminder:
    - If looking for real time information use relevant functions before falling back to brave_search
    - Function calls MUST follow the specified format, start with <function= and end with </function>
    - Required parameters MUST be specified
    - Only call one function at a time
    - Put the entire function call reply on one line
    
    <|eot_id|><|start_header_id|>user<|end_header_id|>
    
    What is the weather like in Beijing today?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
    

• Context size: 128000

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:functionary-medium-v3.1-Q5_K_M.gguf \
    llama-api-server.wasm \
    --model-name functionary-medium-v3.1 \
    --prompt-template functionary-31 \
    --ctx-size 128000
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:functionary-medium-v3.1-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template functionary-31 \
    --ctx-size 128000
  

Quantized GGUF Models

Quantized with llama.cpp b3807