---

functionary-small-v3.2-GGUF

Original Model

meetkai/functionary-small-v3.2

Run with LlamaEdge

• LlamaEdge version: coming soon

• Prompt template

  • Prompt type: functionary-32

  • Prompt string

    <|start_header_id|>system<|end_header_id|>
    
    You are capable of executing available function(s) if required.
    Only execute function(s) when absolutely necessary.
    Ask for the required input to:recipient==all
    Use JSON for function arguments.
    Respond in this format:
    >>>${recipient}
    ${content}
    Available functions:
    // Supported function definitions that should be called when necessary.
    namespace functions {
    
        // Get the current weather
        type get_current_weather = (_: {
    
            // The city and state, e.g. San Francisco, CA
            location: string,
    
        }) => any;
    
    
    } // namespace functions<|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-small-v3.2-Q5_K_M.gguf \
    llama-api-server.wasm \
    --model-name functionary-small-v3.2 \
    --prompt-template functionary-32 \
    --ctx-size 128000
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:functionary-small-v3.2-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template functionary-32 \
    --ctx-size 128000
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
functionary-small-v3.2-Q2_K.gguf	Q2_K	2	3.18 GB	smallest, significant quality loss - not recommended for most purposes
functionary-small-v3.2-Q3_K_L.gguf	Q3_K_L	3	4.32 GB	small, substantial quality loss
functionary-small-v3.2-Q3_K_M.gguf	Q3_K_M	3	4.02 GB	very small, high quality loss
functionary-small-v3.2-Q3_K_S.gguf	Q3_K_S	3	3.66 GB	very small, high quality loss
functionary-small-v3.2-Q4_0.gguf	Q4_0	4	4.66 GB	legacy; small, very high quality loss - prefer using Q3_K_M
functionary-small-v3.2-Q4_K_M.gguf	Q4_K_M	4	4.92 GB	medium, balanced quality - recommended
functionary-small-v3.2-Q4_K_S.gguf	Q4_K_S	4	4.69 GB	small, greater quality loss
functionary-small-v3.2-Q5_0.gguf	Q5_0	5	5.60 GB	legacy; medium, balanced quality - prefer using Q4_K_M
functionary-small-v3.2-Q5_K_M.gguf	Q5_K_M	5	5.73 GB	large, very low quality loss - recommended
functionary-small-v3.2-Q5_K_S.gguf	Q5_K_S	5	5.60 GB	large, low quality loss - recommended
functionary-small-v3.2-Q6_K.gguf	Q6_K	6	6.60 GB	very large, extremely low quality loss
functionary-small-v3.2-Q8_0.gguf	Q8_0	8	8.54 GB	very large, extremely low quality loss - not recommended
functionary-small-v3.2-f16.gguf	f16	16	16.1 GB

Quantized with llama.cpp b3807