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---
language:
- en
license: apache-2.0
model_name: Octopus-V2-2B
base_model: NexaAIDev/Octopus-v2
inference: false
model_creator: NexaAIDev
quantized_by: Second State Inc.
tags:
- function calling
- on-device language model
- android
---

<!-- header start -->
<!-- 200823 -->
<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;">
<!-- header end -->

# Octopus-v2-2B-GGUF

## Original Model

[NexaAIDev/Octopus-v2](https://huggingface.co/NexaAIDev/Octopus-v2)

## Run with LlamaEdge

- LlamaEdge version: [v0.8.1](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.8.1) and above

  - Prompt template

    - Prompt type: `octopus`

    - Prompt string

      ```console
      {system_prompt}\n\nQuery: {input_text} \n\nResponse:
      ```

- Context size: `2048`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Octopus-v2-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template octopus \
    --ctx-size 2048 \
    --model-name octopus-v2
  ```

  Example of a user request in json format:

  ```json
  {
      "messages": [
          {
              "role": "system",
              "content": "Below is the query from the users, please call the correct function and generate the parameters to call the function."
          },
          {
              "role": "user",
              "content": "Take a selfie for me with front camera"
          }
      ],
      "model": "octopus-v2",
      "stream": false
  }
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Octopus-v2-Q2_K.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q2_K.gguf)     | Q2_K   | 2 | 1.16 GB| smallest, significant quality loss - not recommended for most purposes |
| [Octopus-v2-Q3_K_L.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q3_K_L.gguf) | Q3_K_L | 3 | 1.47 GB| small, substantial quality loss |
| [Octopus-v2-Q3_K_M.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q3_K_M.gguf) | Q3_K_M | 3 | 1.38 GB| very small, high quality loss |
| [Octopus-v2-Q3_K_S.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q3_K_S.gguf) | Q3_K_S | 3 | 1.29 GB| very small, high quality loss |
| [Octopus-v2-Q4_0.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q4_0.gguf)     | Q4_0   | 4 | 1.55 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Octopus-v2-Q4_K_M.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q4_K_M.gguf) | Q4_K_M | 4 | 1.63 GB| medium, balanced quality - recommended |
| [Octopus-v2-Q4_K_S.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q4_K_S.gguf) | Q4_K_S | 4 | 1.56 GB| small, greater quality loss |
| [Octopus-v2-Q5_0.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q5_0.gguf)     | Q5_0   | 5 | 1.8 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Octopus-v2-Q5_K_M.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q5_K_M.gguf) | Q5_K_M | 5 | 1.84 GB| large, very low quality loss - recommended |
| [Octopus-v2-Q5_K_S.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q5_K_S.gguf) | Q5_K_S | 5 | 1.8 GB| large, low quality loss - recommended |
| [Octopus-v2-Q6_K.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q6_K.gguf)     | Q6_K   | 6 | 2.06 GB| very large, extremely low quality loss |
| [Octopus-v2-Q8_0.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-Q8_0.gguf)     | Q8_0   | 8 | 2.67 GB| very large, extremely low quality loss - not recommended |
| [Octopus-v2-f16.gguf](https://huggingface.co/second-state/Octopus-v2-GGUF/blob/main/Octopus-v2-f16.gguf)     | f16   | 16 | 10 GB|  |

*Quantized with llama.cpp b2589*