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---
base_model: Qwen/Qwen2-VL-7B-Instruct
license: apache-2.0
model_creator: Qwen
model_name: Qwen2-VL-7B-Instruct
quantized_by: Second State Inc.
language:
- en
pipeline_tag: image-text-to-text
tags:
- multimodal
library_name: transformers
---
<!-- header start -->
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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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# Qwen2-VL-7B-Instruct-GGUF
## Original Model
[Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct)
## Run with LlamaEdge
- LlamaEdge version: [v0.16.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.16.0)
- Prompt template
- Prompt type: `qwen2-vision`
- Prompt string
```text
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
<|vision_start|>{image_placeholder}<|vision_end|>{user_prompt}<|im_end|>
<|im_start|>assistant
```
- Context size: `128000`
- Run as LlamaEdge service
```bash
wasmedge --dir .:. \
--nn-preload default:GGML:AUTO:Qwen2-VL-7B-Instruct-Q5_K_M.gguf \
llama-api-server.wasm \
--model-name Qwen2-VL-7B-Instruct \
--prompt-template qwen2-vision \
--llava-mmproj Qwen2-VL-7B-Instruct-vision-encoder.gguf \
--ctx-size 128000
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Qwen2-VL-7B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q2_K.gguf) | Q2_K | 2 | 3.02 GB| smallest, significant quality loss - not recommended for most purposes |
| [Qwen2-VL-7B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.09 GB| small, substantial quality loss |
| [Qwen2-VL-7B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 3.81 GB| very small, high quality loss |
| [Qwen2-VL-7B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.49 GB| very small, high quality loss |
| [Qwen2-VL-7B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 4.43 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Qwen2-VL-7B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.68 GB| medium, balanced quality - recommended |
| [Qwen2-VL-7B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.46 GB| small, greater quality loss |
| [Qwen2-VL-7B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 5.32 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Qwen2-VL-7B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.44 GB| large, very low quality loss - recommended |
| [Qwen2-VL-7B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.32 GB| large, low quality loss - recommended |
| [Qwen2-VL-7B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q6_K.gguf) | Q6_K | 6 | 6.25 GB| very large, extremely low quality loss |
| [Qwen2-VL-7B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 8.21 GB| very large, extremely low quality loss - not recommended |
| [Qwen2-VL-7B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-f16.gguf) | f16 | 16 | 15.2 GB| |
| [Qwen2-VL-7B-Instruct-vision-encoder.gguf](https://huggingface.co/second-state/Qwen2-VL-7B-Instruct-GGUF/blob/main/Qwen2-VL-7B-Instruct-vision-encoder.gguf) | f16 | 16 | 2.70 GB| |
*Quantized with llama.cpp b4329*
|