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support

by David Belton DavidAU/support

support is an open-weight model for any to any from David Belton, released under Apache License 2.0. Its published files total 23.1 MB.

https://huggingface.co/collections/DavidAU/turbo-brilliance-ai-constructs-50x-reasoning-instruct To support our team, sponsor, "Buy Me A Coffee", commission project(s), access premium item(s)/model(s)/module(s), model modifications, GET HELP, see a sorted…

Parameters—
Context—
Weights23.1 MB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By David Belton, published under apache-2.0, revision 31484730a2ee.

https://huggingface.co/collections/DavidAU/turbo-brilliance-ai-constructs-50x-reasoning-instruct To support our team, sponsor, "Buy Me A Coffee", commission project(s), access premium item(s)/model(s)/module(s), model modifications, GET HELP, see a sorted list of models (380+) and more please see below. We build precision models at scale for the community. We are user-funded, and use local hardware to create, tune and deploy models worldwide. We also create systems for fine tuning, and specialized model systems too as well as "augment" current model/AI technology. - Model fine tuning across a diverse arch type of models and sizes, including MOEs/sparse moes. (over 1000) - Model…

Read David Belton's full model card

TURBO BRILLIANCE 50x: Reduce tokens, increase quality and IQ: The new tech from DavidAU to change and improve all models see the collection (3B to 120B; and growing fast): https://huggingface.co/collections/DavidAU/turbo-brilliance-ai-constructs-50x-reasoning-instruct

SUPPORT / HELP / SPONSOR / PROJECTS / PREMIUM / SORT Models (multi) / FAQs

To support our team, sponsor, "Buy Me A Coffee", commission project(s), access premium item(s)/model(s)/module(s), model modifications, GET HELP, see a sorted list of models (380+) and more please see below.

We build precision models at scale for the community.

We are user-funded, and use local hardware to create, tune and deploy models worldwide.

We also create systems for fine tuning, and specialized model systems too as well as "augment" current model/AI technology.

That includes: - Model fine tuning across a diverse arch type of models and sizes, including MOEs/sparse moes. (over 1000) - Model merging (and also fine tuning) (over 2700) - Model expansion/contraction (27B-> 40B ; 27B to 21B, 13B... and so on => both "dense" and "moe models") - Cold Fusion Training Technology for model fine tuning. - Brainstorm Universal model adapter to improve intelligence and creativity. - Turbo Brilliance => A universal model generation, IQ, and token reduction / enhancement technology. - NEO Imatrix dataset => Strongest Imatrix dataset ever built.

Some models took hours to tune, whereas others took days to weeks including the countless hours of testing; especially for our SOTA models.

If you would like to sponsor our work the "Buy Me a Coffee" system was just added as per multiple requests and the fact is we can do a lot more, we just need the equipment to do it:

https://buymeacoffee.com/davidbelton

Thank you in advance.

Turbo Brilliance Collection - 50X - 27+27 (or higher) reasoning and instruct modes plus 15 (or higher) AI Constructs:

15 AI CONSTRUCTS: Each a precision engineered "consciousness" to help you in every task, using fewer tokens and generating better answers. This model has significant internal upgrades under user control that are "on the fly" (you set in your prompt(s) and/or API). Please read this model card carefully to get the most from it - including all the reasoning and instruct modes (27+27) that feature model suggestions ("context help") for all use cases. The Turbo Brilliance system will begin appearing in other model sizes/types shortly (IE: Qwen, Gemma, Mistral, GLM, Llama, and our fine tunes too).

https://huggingface.co/collections/DavidAU/turbo-brilliance-ai-constructs-50x-reasoning-instruct

ABOUT DavidAU: - As of this writing my repo (DavidAU) has over 4 million downloads per month. This does not account for "user setup repos" / mirrors of my teams models. - I have published over 2000 models over the past 3 years - Llama, Qwen, Mistral, LFM, OpenAI, GLM, Gemmas and many others. (see details below) - After surpassing 10,000 followers on Huggingface, it is now time to take things to the next level. - The journey is just getting underway... - PS: about "actual me"... see below.

Our latest project(s) (MAJOR) is here (names subject to change):

  • https://huggingface.co/DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF
  • https://huggingface.co/DavidAU/Qwen3.8-27B-UltimateDetails2-stage1__The-Harley-Pelican
  • MOST RECENT MODELS: https://huggingface.co/DavidAU/models?sort=created

Contact / About Me - David Belton: - I am a master software engineer with 45 years of experience (programming in machine code since age 11) and 30+ years of business experience. - I have been experimenting, merging and tuning models now for close to 4 years. - I don't worry about if it is impossible, I get it done. - REPO (380+ models): https://huggingface.co/DavidAU - COLLECTIONS (38): https://huggingface.co/DavidAU/collections - LinkedIN: https://www.linkedin.com/in/david-belton-5855b6370/ - Contact me on Discord (or VIA LinkedIN above): David_AU [drawless111]

Main partner "in crime" is "nightmedia": - REPO: https://huggingface.co/nightmedia - COLLECTIONS: https://huggingface.co/nightmedia/collections - LinkedIN: https://www.linkedin.com/in/gchesler/

Here are some of the (380+ :: Number was 1500 at one point, but cut due to HGF storage limits) strongest models so far:

NOTE: I generate source and GGUF quants, for many of my models, the community has generated additional quant types/variations like MLX, NVFP4, and so on... you will find these quants in the "community" tab at the repo and/or under "Quantizations" on the main repo page.

BY SORT - GENERAL: - Most Likes: https://huggingface.co/DavidAU/models?sort=likes - Most Downloads: https://huggingface.co/DavidAU/models?sort=downloads - Least parameters: https://huggingface.co/DavidAU/models?sort=least_params - Most parameters: https://huggingface.co/DavidAU/models?sort=most_params - Trending on Hugging Face: https://huggingface.co/models?sort=trending&search=DavidAU - Trending on Hugging Face + Inference available (try it in your browser): https://huggingface.co/models?inference_provider=all&sort=trending&search=DavidAU

ADVANCED SORT:

Start with: - https://huggingface.co/models?sort=trending&search=DavidAU - then enter model / size / name etc separated (each) by a SPACE ; this is far stronger than the "repo" only search (single keyword)

BY SORT - MOEs/Sparse MOES: - In house created, MOES: https://huggingface.co/DavidAU/models?search=moe - Sparse MOES (4b) IE Gemma and others: https://huggingface.co/DavidAU/models?search=-a4 - Sparse MOES (3b) IE Qwen: https://huggingface.co/DavidAU/models?search=-a3 - Sparse MOES (1b) IE LFM/smaller MOES: https://huggingface.co/DavidAU/models?search=-a1

By SORT - SIZE (there will be other sizes/oddball sizes too): - 1B : https://huggingface.co/DavidAU/models?search=1b - 3B : https://huggingface.co/DavidAU/models?search=3b - 8B : https://huggingface.co/DavidAU/models?search=8b - 9B : https://huggingface.co/DavidAU/models?search=9b - 12B : https://huggingface.co/DavidAU/models?search=12b - 13B : https://huggingface.co/DavidAU/models?search=13b - 24B : https://huggingface.co/DavidAU/models?search=24b - 27B : https://huggingface.co/DavidAU/models?search=27b - 40B : https://huggingface.co/DavidAU/models?search=40b

BY SORT - MODEL: - QWENS: https://huggingface.co/DavidAU/models?sort=downloads&search=qwen - GEMMAS: https://huggingface.co/DavidAU/models?sort=downloads&search=gemma - LFMS: https://huggingface.co/DavidAU/models?sort=downloads&search=lfm - LLAMA: https://huggingface.co/DavidAU/models?sort=downloads&search=llama - LLAMA 3,3.1,3.2,3.3: https://huggingface.co/DavidAU/models?search=l3 - MISTRAL: https://huggingface.co/DavidAU/models?sort=downloads&search=mistral - GLM: https://huggingface.co/DavidAU/models?sort=downloads&search=glm - OPENAI/GPT-OSS: https://huggingface.co/DavidAU/models?sort=downloads&search=gpt - "Horror": https://huggingface.co/DavidAU/models?search=horror&sort=likes

Special note - "Out of print" models: - A number of my models no longer are listed at my repo due to storage limits. You can however find them at other repos at HGF using: https://huggingface.co/search/full-text?q=davidau&type=model - I also keep local backups where possible.

SOTA MODELS By My Team:

NOTE: Most models have benchmarks, and 3rd party benchmarks (at repo or in the community section)

Qwen3.6 27B: The strongest, overall qwen ever beating all other Qwens in total operational power with over 2400 likes // 4 million+ total downloads and has over 70 additional repos with additional quant types: - https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF - Benchmarks (spoiler: It beats everyone): https://blog.robai.net/27bevals/

Qwen3.8 27B: The highest scoring Qwen in brute, raw intelligence, using Qwen 3.8's 3 new reasoning modes, plus token reduction (1/2 to 1/10) enhancements and over 1600 likes + and 100+ additional quant repos: - https://huggingface.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF

Qwen3.8 27B: Super smart and 1/2 to 1/20 the reasoning tokens AND 5 reasoning/5 instruct modes switchable on the fly (even in chat): - https://huggingface.co/DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF

Qwen3.8 27B: 99% power of BF 16 at 4 and 8 bit. Power, Control and NO DE censoring for ultimate performance also with reasoning token reductions: - https://huggingface.co/DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF

Qwen3.6 40B: The 40B Monster, specializing in creative and research with 730+ likes and over 2 million downloads: - https://huggingface.co/DavidAU/Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF

Qwen3.5 9B: At just 9B parameters it beats most untuned 27B models in both intelligence (640 ARC-C) and performance, over 1000 likes, plus features 5 reasoning and 5 instruct modes (Qwen 3.8) too: - https://huggingface.co/DavidAU/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF - This is our office workhorse ; bullet proof, stable, fast and off the scale IQ to boot.

For model specific issues/help/FAQ see: - https://huggingface.co/DavidAU - Search for your model. - Check the model repo page AND community section. - FAQS for all models: https://huggingface.co/collections/DavidAU/davids-software-docs-and-how-to-for-models

Support our team, sponsor, "Buy Me A Coffee": - https://buymeacoffee.com/davidbelton

Commission project(s): - coming soon.

Access premium item(s)/model(s)/module(s): - coming soon.

Model Modifications: - coming soon.

ALL OTHER INQUIRES: - Open a discussion in the community tab at this repo.

Identity and Version

Repository
DavidAU/support
Publisher
David Belton
Task
Any to any
Modality
Multimodal
Library
transformers
Parameters
Not stated by the source
Languages
en
Revision
31484730a2eec5a7cda38114b02e99e195f3d3ff
First published
2026-10-07
Last updated
2026-10-17

Files and Weights

5 files, 23.1 MB in total.

Documentation1 file · 10.8 KB
Other3 files · 23.1 MB
Repository1 file · 1.7 KB
Every file
FileTypeSizeSHA-256
README.mdDocumentation10.8 KB —
cannonball.webpOther883.6 KB 1ce64a8d89ac
free-mind.gifOther17.9 MB 988bc94e5dee
valhalla.webpOther4.3 MB 010bce05f9f6
.gitattributesRepository1.7 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download from David Belton

Released by David Belton through its official repository on Hugging Face. Read the license.

Questions About support

Can I use support commercially?

Yes. support is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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