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---
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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<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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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*
|