---

base_model: Qwen/Qwen3.8-27B

library_name: gguf

license: apache-2.0

pipeline_tag: image-text-to-text

tags:

• qwen
• quantized
• gguf
• llama-cpp
• vision

---

Qwen3.8-27B GGUF (Vision-Language)

This repository contains the GGUF format quantization of the Qwen3.8-27B model, a native vision-language model.

The model has been quantized using llama.cpp (release b10430) to the Q4_K_M format.

File Details

• Model Name: Qwen3.8-27B
• Quantization: Q4_K_M
• Main Model: Qwen3.8-27B-Q4_K_M.gguf (16.8 GB)
• Vision Adapter: mmproj-F16.gguf (Required for vision/multimodal tasks)
• Quantization Tool: llama.cpp (b10430)

About Qwen3.8-27B

Qwen3.8-27B is the most capable generation in the Qwen open-model family, built on the architectural foundation of Qwen3.5. It is a native vision-language model that understands images and videos, delivering substantial gains across coding, professional work, research, and long-horizon agentic tasks.

For more information, please visit the original model card.

Usage

llama.cpp (Text Only)

To run this model as a text-only model using llama.cpp from the command line:

./llama-cli -m Qwen3.8-27B-Q4_K_M.gguf -p "Write a Python function to merge two sorted linked lists." -n 5124

llama.cpp (Vision-Language)

To utilize the vision capabilities, you must provide the mmproj file using the --mmproj flag:

./llama-cli -m Qwen3.8-27B-Q4_K_M.gguf \
  --mmproj mmproj-F16.gguf \
  --image path/to/your/image.jpg \
  -p "Describe the contents of this image."

LM Studio / Ollama / GPT4All

This GGUF file is compatible with popular local LLM inference tools. When configuring the model in your preferred client, ensure you attach the mmproj-F16.gguf file in the "Vision Adapter" or "Multimedia Projection" setting to enable image processing.

Acknowledgements

The original model was developed and released by the Qwen Team.