---
base_model: meetkai/functionary-small-v3.2
license: mit
model_creator: meetkai
model_name: functionary-small-v3.2
quantized_by: Second State Inc.
---

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# functionary-small-v3.2-GGUF

## Original Model

[meetkai/functionary-small-v3.2](https://huggingface.co/meetkai/functionary-small-v3.2)

## Run with LlamaEdge

- LlamaEdge version: coming soon

<!-- - LlamaEdge version: [v0.14.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.3) -->

- Prompt template

  - Prompt type: `functionary-32`

  - Prompt string

    ```text
    <|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

  ```bash
  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

  ```bash
  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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/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](https://huggingface.co/second-state/functionary-small-v3.2-GGUF/blob/main/functionary-small-v3.2-f16.gguf)       | f16    | 16 | 16.1 GB| |

*Quantized with llama.cpp b3807*