---
title: Qwen2.5-7B-Instruct-GGUF
canonical_url: "https://www.modelscope.ai/models/second-state/Qwen2.5-7B-Instruct-GGUF"
md_url: "https://www.modelscope.ai/models/second-state/Qwen2.5-7B-Instruct-GGUF.md"
repository: second-state/Qwen2.5-7B-Instruct-GGUF
last_updated: 2026-11-11
license: apache-2.0
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - qwen2
architectures:
  - Qwen2ForCausalLM
base_model:
  - Qwen/Qwen2.5-7B-Instruct
base_model_relation: quantized
library_name:
  - gguf
  - other
frameworks:
  - other
language:
  - en
downloads: 339
stars: 0
tags:
  - chat
  - gguf
---

# Qwen2.5-7B-Instruct-GGUF

> Qwen2.5-7B-Instruct-GGUF - An open-source model by second-state on ModelScope. Qwen2.5-7B-Instruct-GGUF

second-state/Qwen2.5-7B-Instruct-GGUF is a text-generation model on ModelScope. licensed under apache-2.0. derived from Qwen/Qwen2.5-7B-Instruct.

- **Repository**: second-state/Qwen2.5-7B-Instruct-GGUF
- **License**: apache-2.0
- **Tasks**: text-generation
- **Base model**: Qwen/Qwen2.5-7B-Instruct
- **Tags**: chat, gguf
- **Downloads**: 339
- **Stars**: 0
- **Last updated**: 2026-11-11

Source: https://www.modelscope.ai/models/second-state/Qwen2.5-7B-Instruct-GGUF

---

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# Qwen2.5-7B-Instruct-GGUF

## Original Model

[Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)

## Run with LlamaEdge

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

- 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: `128000`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-7B-Instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --model-name Qwen2.5-7B-Instruct \
    --prompt-template chatml \
    --ctx-size 128000
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-7B-Instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --ctx-size 128000
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Qwen2.5-7B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 3.02 GB| smallest, significant quality loss - not recommended for most purposes |
| [Qwen2.5-7B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.09 GB| small, substantial quality loss |
| [Qwen2.5-7B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 3.81 GB| very small, high quality loss |
| [Qwen2.5-7B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.49 GB| very small, high quality loss |
| [Qwen2.5-7B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 4.43 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Qwen2.5-7B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.68 GB| medium, balanced quality - recommended |
| [Qwen2.5-7B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.46 GB| small, greater quality loss |
| [Qwen2.5-7B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 5.32 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Qwen2.5-7B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.44 GB| large, very low quality loss - recommended |
| [Qwen2.5-7B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.32 GB| large, low quality loss - recommended |
| [Qwen2.5-7B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 6.25 GB| very large, extremely low quality loss |
| [Qwen2.5-7B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 8.21 GB| very large, extremely low quality loss - not recommended |
| [Qwen2.5-7B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-7B-Instruct-GGUF/blob/main/Qwen2.5-7B-Instruct-f16.gguf)       | f16    | 16 | 15.2 GB| |

*Quantized with llama.cpp b3751*