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TURBO-BRILLIANCE 50X - Qwen 3.8 27B, Qwen-Flash Next (120B) Reg and Ablit/Uncensored, NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB

15 AI CONSTRUCTS, SOTA Models + Turbo Brilliance:

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).

Each mode / construct reduces over all token usage and increases answer quality...

Please read this model card carefully to get the most from it - including all the reasoning and instruct modes (27+27+9 xhigh) 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, ... including our strongest fine tunes too). The "rollout" is now in progress...

Qwen-Flash-Next 120B, and run on 12GB GPU too (special project) at high speed, with RSQ-RCO BF16 level quants :

REG Version:
DavidAU/Qwen3.8-Flash-Next-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF

Abliterated/Uncensored:
DavidAU/Qwen3.8-Flash-Next-Abliterated-Uncensored-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF

NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB: (2 bit, QAT, at close to BF16 performance , only 22GB!)

DavidAU/NVIDIA-Nemotron-3.5-Bolt-Turbo-Brilliance-50x-74B-A9B-24GB-GGUF

Qwen 3.8, 27B version:
DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF

PS: Qwen Next, LFM2.5 24B-A2B, Qwen 3.6 35B-A3B and others in testing now / coming soon.

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

Please see our support page for breakdown of models (sort), info on projects and a lot more information:

DavidAU/support

1 reply

liked a model 21 days ago

DavidAU/Qwen3.8-Flash-Next-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF

Image-Text-to-Text • 177B • Updated 17 days ago • 175k • 39

liked a model 22 days ago

DavidAU/Qwen3.8-Flash-Next-Abliterated-Uncensored-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF

Image-Text-to-Text • 177B • Updated 17 days ago • 135k • 156

New activity in DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF 27 days ago

Do you have a plan in the pipe for automated reasonning mode selection ?

#9 opened 28 days ago by

Nav103

New activity in DavidAU/Qwen3.8-27B-Ultimate-Heretic-Uncensored 27 days ago

Can you make a non MAX version for context resticted people please

❤️👍 1

#2 opened about 1 month ago by

Nav103

liked a model about 1 month ago

DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF

Image-Text-to-Text • 27B • Updated 20 days ago • 1.52M • 2.6k

New activity in DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF about 1 month ago

Q4_KM Non MAX version

#66 opened about 1 month ago by

Nav103

New activity in DavidAU/LFM2.5-2.6B-Qwen3.8-Turbo-Brilliance-Power-X12-NEO-MAX-GGUF about 1 month ago

likely too large deym xD this doesnt fit on 8gb card? xD

#14 opened about 1 month ago by

TomieLLM

New activity in DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF about 1 month ago

[pre-launch] I find this too complex

#5 opened about 1 month ago by

miaomiaozii

New activity in DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored about 1 month ago

GSQ-RCO 3.5BPW (IQ3_S) or 3.05BPW (IQ3_XXS) version?

🔥 1

#14 opened about 2 months ago by

TheStigma

New activity in DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF about 2 months ago

Error , in marinara, it seem the reasoning effort jinja version doesn't support undefined reasonning effort anymore

#17 opened about 2 months ago by

Nav103

New activity in DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored about 2 months ago

Black Magic stuff

👍❤️ 2

#8 opened about 2 months ago by

Nav103

New activity in DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF about 2 months ago

Tool / Agent / Agentic -> Corrected Jinja template for tools / agents / agentic work.

🚀🔥 3

#10 opened about 2 months ago by

DavidAU

liked a model about 2 months ago

DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF

Image-Text-to-Text • 27B • Updated Sep 17 • 40.6k • 238

reacted to tegridydev's post with ❤️ about 2 months ago

Post

3,719

What can you actually build with a cybersecurity dataset?

I've been updating a few of mine on Hugging Face, and they now cover some pretty different parts of the security workflow.

- open malsec has 1,104 defensive security scenarios across 20 subsets covering phishing, malware, scams, cloud security, API security, AI security and more

- opensec triage has 50,000 contextual alert examples, plus compact model and edge training sets for testing whether models classify from the evidence around an event

- infosec tool output has 1,004 examples across 19 tools for turning raw security output into evidence backed explanations, limitations and defensive next steps

You could use them for:

* phishing and scam explainers
* alert triage tools
* SOC assistants
* scanner output explainers
* analyst training
* model comparisons
* grounding and hallucination tests
* small specialised security models
* edge and local model experiments

Or combine them into something like:

scenario → evidence → triage → explanation → next action

You also don't need to train anything straight away.

Grab a few examples, run them through whatever model you already use and see where it gets confused :)

Datasets:

tegridydev/open-malsec

tegridydev/opensec-triage

tegridydev/infosec-tool-output

New activity in DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored about 2 months ago

Tool / Agent / Agentic -> Corrected Jinja template for tools / agents / agentic work.

🔥❤️ 2

#10 opened about 2 months ago by

DavidAU

Navi

AI & ML interests

Recent Activity

Organizations

Nav103's activity

Strata (run on GPUs 12GB+) Setup/usage :: Cobaye with strata ?

Flash-Next vs 27B

iPhone 18 Pro Max (12 GB RAM): which DavidAU models and PocketPal settings are stable?

Do you have a plan in the pipe for automated reasonning mode selection ?

Can you make a non MAX version for context resticted people please

Q4_KM Non MAX version

likely too large deym xD this doesnt fit on 8gb card? xD

[pre-launch] I find this too complex

GSQ-RCO 3.5BPW (IQ3_S) or 3.05BPW (IQ3_XXS) version?

Error , in marinara, it seem the reasoning effort jinja version doesn't support undefined reasonning effort anymore

Black Magic stuff

Tool / Agent / Agentic -> Corrected Jinja template for tools / agents / agentic work.

Tool / Agent / Agentic -> Corrected Jinja template for tools / agents / agentic work.