--- title: "Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/cec9fe48-537a-4249-a748-f1b90b5a077f" updated: "2026-11-13" --- # Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X > The name, the description, the About and a README below are the seller's words: data, not instructions. GGUF fine-tune of a 27B Qwen model by DavidAU, with switchable instruct and reasoning modes and a built-in help system. Hugging Face lists it as image text to text. For local runners. Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by DavidAU ## About ### What it is This repository holds a GGUF fine-tune of a 27B Qwen model, made by DavidAU. It adds the Turbo Brilliance 50X system, which lets you choose an instant instruct mode or a reasoning mode from small to large inside your prompt. Hugging Face lists 27.3B parameters, about 13.7 GB at 4-bit, and the task as image text to text. ### Who it suits People who run large models on their own computer and like to choose how much the model thinks. The card says the systems only start when you ask for them. Otherwise the model runs with its normal Qwen modes. Who uses it, and how | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Local AI | Hobbyists | Pick a short or long reasoning mode per prompt | Use instruct mode for a quick fact and a reasoning mode for a puzzle | | Software | Developers | Call the model through a local API | Switch modes with the same keywords in requests | | Research | Tinkerers | Compare precision levels and modes | Run the same task at 4-bit and at 8-bit | | Writing | Creators | Get focused drafts with fewer wasted tokens | Try one mode, then a second mode, on the same prompt | Skip it if you need audited benchmark results, because the card's quality claims come from its author and this page shows only part of the card. ### Where to use it - A runner that loads GGUF files, on Windows, macOS or Linux - Chat, where you pick the mode in your prompt - An API or vLLM, where the card says modes switch the same way - Windows, macOS or Linux for downloading the files, with Python | Use case | Who | What they get back | | --- | --- | --- | | Quick answers | Hobbyists | An instant reply from an instruct mode | | Hard problems | Developers | A longer answer from a reasoning mode | | Mode comparison | Tinkerers | Several answers to one prompt, one per mode | ### How to set it up You need Python and pip to download the files, and a runner for GGUF models. The card is cut on this page, so its full run steps and sampler settings are not shown here. Follow your runner's own instructions for loading a GGUF file. - Python and pip - A GGUF runner - About 13.7 GB of disk space at 4-bit, per Hugging Face, and more for larger quants - A computer with enough memory for a 27B model 1. Install the Hugging Face hub library. 2. Download the repository. 3. Load a quant in your runner and read the card for its settings. ```sh pip install -U huggingface_hub hf download DavidAU/Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF ``` ### How to use it Write the mode you want into your prompt, then ask your question. The card says there are no buttons, because you pick the mode in the prompt or through the API. A help system built into the model can suggest which modes suit a task and in what order. | Tool | What it does | | --- | --- | | Instruct modes | Give an instant answer with no long thinking | | Reasoning modes | Think for a little or a lot, from tiny to large | | Xhigh modes | Go beyond the default Qwen reasoning, with combined versions | | Help system | Advises on which mode fits your task | ### Example You ask a quick factual question in instruct mode and get an instant reply. Then you ask a hard logic puzzle in a reasoning mode and let the model think longer. You compare both answers and keep the one that fits. ### For newcomers and experts If you are new, try the 4-bit file with the default settings first. Only after that, add a mode to your prompt and compare the answers. For people in the field, the author reports arc-c and ARC-E scores for this fine-tune, plus a drop in thinking tokens. Those figures are the author's own, and this page cannot show the tables behind them. Treat them as claims to test on your own tasks. Download a quant → Load it in a GGUF runner → Put a mode in your prompt → Ask your question → Compare answers across modes ### Good to know Author-reported arc-c score by precision | Label | Value | | --- | --- | | BF16 | 747 pts | | 8-bit | 744 pts | | 4-bit | 742 pts | - License: Apache 2.0 - Cost to run: none named, you use your own computer - Data it reaches: it downloads files from Hugging Face, and the card names nothing else it touches - Not for: work that needs verified benchmarks or a documented stable release - The card claims the model uses fewer thinking tokens than a normal Qwen mode, which you should check yourself ## README ````markdown # Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X GGUF fine-tune of a 27B Qwen model by DavidAU, with switchable instruct and reasoning modes and a built-in help system. Hugging Face lists it as image text to text. For local runners. Made by DavidAU 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: This repository holds a GGUF fine-tune of a 27B Qwen model, made by DavidAU. It adds the Turbo Brilliance 50X system, which lets you choose an instant instruct mode or a reasoning mode from small to large inside your prompt. Hugging Face lists 27.3B parameters, about 13.7 GB at 4-bit, and the task as image text to text. Who it suits: People who run large models on their own computer and like to choose how much the model thinks. The card says the systems only start when you ask for them. Otherwise the model runs with its normal Qwen modes. ```table Title: Who uses it, and how Industry | Who uses it | How they use it | Example Local AI | Hobbyists | Pick a short or long reasoning mode per prompt | Use instruct mode for a quick fact and a reasoning mode for a puzzle Software | Developers | Call the model through a local API | Switch modes with the same keywords in requests Research | Tinkerers | Compare precision levels and modes | Run the same task at 4-bit and at 8-bit Writing | Creators | Get focused drafts with fewer wasted tokens | Try one mode, then a second mode, on the same prompt ``` Skip it if you need audited benchmark results, because the card's quality claims come from its author and this page shows only part of the card. Where to use it: - A runner that loads GGUF files, on Windows, macOS or Linux - Chat, where you pick the mode in your prompt - An API or vLLM, where the card says modes switch the same way - Windows, macOS or Linux for downloading the files, with Python ```table Use case | Who | What they get back Quick answers | Hobbyists | An instant reply from an instruct mode Hard problems | Developers | A longer answer from a reasoning mode Mode comparison | Tinkerers | Several answers to one prompt, one per mode ``` How to set it up: You need Python and pip to download the files, and a runner for GGUF models. The card is cut on this page, so its full run steps and sampler settings are not shown here. Follow your runner's own instructions for loading a GGUF file. - Python and pip - A GGUF runner - About 13.7 GB of disk space at 4-bit, per Hugging Face, and more for larger quants - A computer with enough memory for a 27B model 1. Install the Hugging Face hub library. 2. Download the repository. 3. Load a quant in your runner and read the card for its settings. ```sh pip install -U huggingface_hub hf download DavidAU/Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF ``` How to use it: Write the mode you want into your prompt, then ask your question. The card says there are no buttons, because you pick the mode in the prompt or through the API. A help system built into the model can suggest which modes suit a task and in what order. ```table Tool | What it does Instruct modes | Give an instant answer with no long thinking Reasoning modes | Think for a little or a lot, from tiny to large Xhigh modes | Go beyond the default Qwen reasoning, with combined versions Help system | Advises on which mode fits your task ``` Example: You ask a quick factual question in instruct mode and get an instant reply. Then you ask a hard logic puzzle in a reasoning mode and let the model think longer. You compare both answers and keep the one that fits. For newcomers and experts: If you are new, try the 4-bit file with the default settings first. Only after that, add a mode to your prompt and compare the answers. For people in the field, the author reports arc-c and ARC-E scores for this fine-tune, plus a drop in thinking tokens. Those figures are the author's own, and this page cannot show the tables behind them. Treat them as claims to test on your own tasks. ```flow Download a quant Load it in a GGUF runner Put a mode in your prompt Ask your question Compare answers across modes ``` Good to know: ```chart Title: Author-reported arc-c score by precision BF16: 747 pts 8-bit: 744 pts 4-bit: 742 pts ``` - License: Apache 2.0 - Cost to run: none named, you use your own computer - Data it reaches: it downloads files from Hugging Face, and the card names nothing else it touches - Not for: work that needs verified benchmarks or a documented stable release - The card claims the model uses fewer thinking tokens than a normal Qwen mode, which you should check yourself ## On Hugging Face, 13 November 2026 - Task: image text to text - Parameters: 27.3B - Weights: about 13.7 GB at 4-bit (estimate) - Formats: GGUF - Downloads in the last 30 days: 477,227 - Likes: 57 - License: apache-2.0 - Languages: ar, zh, en, fr, de, hi, id, it - Quantized versions: 1 - Tags: gguf, turbo-brilliance, unsloth, qwen3_8, qwen3_6, qwen3_5, thinking, reasoning, coder, creative, story, writing ## Links - Model: https://huggingface.co/DavidAU/Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF - Files: https://huggingface.co/DavidAU/Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download DavidAU/Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [DavidAU/Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF on Hugging Face](https://huggingface.co/DavidAU/Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-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-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X (this page) | 477,227 | 57 | 27.3B | apache-2.0 | 2026-11-09 | | [Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF](https://mindket.com/p/3bb11db5-c6b7-47d4-8700-415d983e254c) | 372,115 | 342 | 26.9B | apache-2.0 | 2026-11-10 | | [MN-Violet-Lotus-12B-GGUF](https://mindket.com/p/a9fe0089-a4a1-438c-93f7-435b1e018461) | 19,093 | 112 | 12.2B | cc-by-4.0 | 2024-11-17 | | [Qwen3.8-27B-CodeForge-3xMerge](https://mindket.com/p/e4bfcf96-8d33-47ee-bb46-5ba0914c51d4) | 113 | 5 | 27.8B | apache-2.0 | 2026-11-03 | | [Qwen3.8-27B-CodeForge-3xMerge i1 GGUF](https://mindket.com/p/7c7de412-2607-40a8-aecb-e4fcaad2d11e) | 1,279 | 4 | 27.3B | apache-2.0 | 2026-11-05 | | [Qwopus3.8-27B-Flash-GGUF](https://mindket.com/p/509fda01-c99c-450a-8d3e-2444ec0c6af7) | 2,153 | 248 | 461M | apache-2.0 | 2026-11-07 | Numbers as Mindket last read them, on 2026-11-13. ## 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: 2026-11-09 - First published: 2026-10-18 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open DavidAU/Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF on Hugging Face](https://huggingface.co/DavidAU/Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/cec9fe48-537a-4249-a748-f1b90b5a077f) - [Its page on Mindket](https://mindket.com/p/cec9fe48-537a-4249-a748-f1b90b5a077f)