--- title: "Qwen3.8-27B-GGUF by lmstudio-community" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/d449b7d3-e19e-44be-9a40-89e995a4830f" updated: "2026-11-12" --- # Qwen3.8-27B-GGUF by lmstudio-community > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. Qwen3.8-27B-GGUF by lmstudio-community is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by lmstudio-community ## 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. ```sh 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 ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```flow 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: ```sh 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [lmstudio-community/Qwen3.8-27B-GGUF on Hugging Face](https://huggingface.co/lmstudio-community/Qwen3.8-27B-GGUF) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Qwen3.8-27B-GGUF by lmstudio-community (this page) | 1,081,301 | 102 | 27.3B | apache-2.0 | 2026-08-14 | | [Qwen3.8-Flash-Next-GSQ-RCO-GGUF](https://mindket.com/p/ee9ed4a6-39c8-4eee-8958-cce1cd508fa6) | 6,963,596 | 1,229 | 177B | apache-2.0 | 2026-09-29 | | [Ornith-1.5-9B-GGUF](https://mindket.com/p/5dd265f6-9a3e-450b-ad2a-b49a78e2700a) | 5,772,425 | 673 | 9.2B | mit | 2026-08-24 | | [Ornith-1.5-35B-A3B-GGUF](https://mindket.com/p/c98822f4-2255-450a-89ce-df15fc0003a1) | 4,164,876 | 603 | 35.5B | mit | 2026-08-24 | | [DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF](https://mindket.com/p/0bd5db10-f872-40c7-9371-3225afab2a6d) | 3,635,772 | 655 | 197B | mit | 2026-10-28 | | [gemma-4-12b-it-GGUF](https://mindket.com/p/5c808b31-349e-4069-ad4e-f80ffc3a1bee) | 2,534,530 | 963 | 11.9B | apache-2.0 | 2026-07-17 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-08-14 - First published: 2026-08-14 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open lmstudio-community/Qwen3.8-27B-GGUF on Hugging Face](https://huggingface.co/lmstudio-community/Qwen3.8-27B-GGUF) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/d449b7d3-e19e-44be-9a40-89e995a4830f) - [Its page on Mindket](https://mindket.com/p/d449b7d3-e19e-44be-9a40-89e995a4830f)