---
base_model: Qwen/Qwen2.5-Coder-0.5B-Instruct
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct/blob/main/LICENSE
model_creator: Qwen
model_name: Qwen2.5-Coder-0.5B-Instruct
quantized_by: Second State Inc.
pipeline_tag: text-generation
library_name: transformers
tags:
- code
- codeqwen
- chat
- qwen
- qwen-coder
language:
- en
---

<!-- 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 -->

# Qwen2.5-Coder-0.5B-Instruct-GGUF

## Original Model

[Qwen/Qwen2.5-Coder-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct)

## Run with LlamaEdge

- LlamaEdge version: [v0.14.14](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.14) and above

- Prompt template

  - Prompt type: `chatml`

  - Prompt string

    ```text
    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    ```

- Context size: `32000`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-0.5B-Instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --model-name Qwen2.5-Coder-0.5B-Instruct \
    --prompt-template chatml \
    --ctx-size 32000
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-0.5B-Instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --ctx-size 32000
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Qwen2.5-Coder-0.5B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 339 MB| smallest, significant quality loss - not recommended for most purposes |
| [Qwen2.5-Coder-0.5B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 369 MB| small, substantial quality loss |
| [Qwen2.5-Coder-0.5B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 355 MB| very small, high quality loss |
| [Qwen2.5-Coder-0.5B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 338 MB| very small, high quality loss |
| [Qwen2.5-Coder-0.5B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 352 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Qwen2.5-Coder-0.5B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 398 MB| medium, balanced quality - recommended |
| [Qwen2.5-Coder-0.5B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 385 MB| small, greater quality loss |
| [Qwen2.5-Coder-0.5B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 397 MB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Qwen2.5-Coder-0.5B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 420 MB| large, very low quality loss - recommended |
| [Qwen2.5-Coder-0.5B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 413 MB| large, low quality loss - recommended |
| [Qwen2.5-Coder-0.5B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 506 MB| very large, extremely low quality loss |
| [Qwen2.5-Coder-0.5B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 531 MB| very large, extremely low quality loss - not recommended |
| [Qwen2.5-Coder-0.5B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-0.5B-Instruct-f16.gguf)       | f16    | 16 | 994 MB| |

*Quantized with llama.cpp b4033*