Qwen3.8-27B-GGUF by lmstudio-community

Qwen3.8-27B-GGUF by lmstudio-community

A GGUF quantization of Qwen's Qwen3.8-27B made by the LM Studio team with llama.cpp, for people who run a 27B model on their own computer.

Made by lmstudio-community on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: Qwen3.8-27B-GGUF is a GGUF copy of Qwen3.8-27B, a model made by Qwen. The LM Studio team produced the quantization with a llama.cpp build, release b10430. The record lists 27.3B parameters and about 13.7 GB of weights at 4-bit, as an estimate.

It appears in the LM Studio community models program, which highlights new and notable models from the community.

Who it suits: It suits people who run language models on their own machine and use llama.cpp based tools such as LM Studio. You need a computer with room for a file of about 13.7 GB.

Industry | Who uses it | How they use it | Example
Software | Developers | Run a 27B model locally for coding help | Asking it to explain a function
Research | Analysts | Work with a large model without a hosted service | Summarizing a long document
Education | Students and teachers | Try a large open model offline | Asking it to explain a topic
Home labs | Enthusiasts | Compare local models on their own hardware | Testing it against a smaller model

Skip it if you use a hosted chat service and do not run models yourself.

Where to use it:

• LM Studio, the app behind the community models program
• Other tools that load GGUF files through llama.cpp
• Windows, macOS or Linux, with Python for the download step

Use case | Who | What they get back
Local chat | Anyone with a suitable machine | Text replies from a 27B model on your own computer
Developer experiments | Developers | A local model to test prompts against

How to set it up: You need a few things in place first.

• Python and pip, for the download command
• LM Studio or another tool that loads GGUF files
• About 13.7 GB of free disk space, from the record's 4-bit estimate

1. Install the Hugging Face hub package with pip.
2. Download the repository with the hf command.
3. Load the GGUF file in your local app. The source does not list run commands here.

pip install -U huggingface_hub
hf download lmstudio-community/Qwen3.8-27B-GGUF

How to use it: After loading the file in your local app, you chat with the model in that app. The model card itself holds no run commands, so the details come from the app you use.

Example: You download the repository and open the GGUF file in LM Studio. You then ask the model to explain a function you pasted in, and it writes its answer in the chat window.

For newcomers and experts: Start by downloading the file and opening it in an app you already know. A 27B model is large, so check that your machine has room before you begin.

This is a quantized copy, so it trades some precision for a smaller file. The quantization came from the LM Studio team using llama.cpp release b10430, and the original model is Qwen3.8-27B. The card gives no benchmark numbers for the copy, so judge the quality on your own tasks.

Download the GGUF file with hf
Open it in LM Studio or another app
Chat with the model
Receive text replies

Good to know:

• License: Apache 2.0
• Cost to run: none named
• Data it reaches: it downloads files from Hugging Face onto your computer
• Not for: relying on its answers without checking, since the card says community models can give inaccurate or inappropriate output

On Hugging Face, 13 November 2026

• Parameters: 27.3B
• Weights: about 13.7 GB at 4-bit (estimate)
• Formats: GGUF
• Downloads in the last 30 days: 1,081,301
• Likes: 102
• License: apache-2.0
• Based on: Qwen/Qwen3.8-27B
• Tags: gguf, conversational

Links

• Model: https://huggingface.co/lmstudio-community/Qwen3.8-27B-GGUF
• Files: https://huggingface.co/lmstudio-community/Qwen3.8-27B-GGUF/tree/main

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download lmstudio-community/Qwen3.8-27B-GGUF

Then follow the usage in its model card. Nothing in this kit runs by itself.