GLM-5.3 is live. Run Z.ai's latest model on Friendli Model APIs. Try it today ➜
Johnblick187
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
Johnblick187
Model Tree
DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU
Input Modalities
Output Modalities
Supported Functionality
NEO Imatrix MAX GGUFS (and all docs for using this model etc etc) are here:
IMPORTANT: This model has multiple reasoning and instruct modes switchable on the fly. See the above GGUF repo on how to access / use.
TWIN-TURBO: Smaller quants with higher performance AND vastly reduced "thinking tokens".
BOOSTED: 5 thinking modes and 5 instruct modes, switchable on the fly. (VIA API, direct and chat "in message")
A Qwen 3.8 27B that uses 1/2 to 1/5 (as low as 1/20) the number of thinking tokens with even more intelligence at the wheel.
"Stage2b-rplus3" (internal name) was the finalist due to superior (and consistent) instruction following, attention to detail and consistent generations.
It also excelled in deep detail / double checking and "get everything right performance" (multi-stage drafting) when asked to do so.
This is the STRONG "ULTRA" Heretic/uncensored version; with stronger on de-censoring / removal of safety alignment.
text
HERETIC STATS (lower is better for all stats): Qwen 3.8 untuned / non heretic:86/100 refusals. Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored68/100 refusals // KL divergence: 0.0025 Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-ULTRA-HERETIC-Uncensored6/100 refusals // KL divergence: 0.0397Model GGUFS will release on/about Sept 15-18 2026, with source following shortly thereafter.
This model is part of this project:
https://huggingface.co/DavidAU/Qwen3.8-27B-Cold-Fable-Fusion-GAIN-V1.1-732-Heretic-Uncensored-stage1
See the above repo for notes and details on "stage2b-rplus3".
RELEASE #1 (of this model's branch) is here:
and the "ULTRA HERETIC" part of this project:
https://huggingface.co/DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored
Example snippets below.
BENCHMARKS: (by nightmedia)
text
arc/c arc/e boolq hswag obkqa piqa wino [reasoning adjustments, re-blending core] Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-UncensoredFINALIST: Superior instruction following and detail.Stage2b-rplus3 [internal name]mxfp8 0.709,0.876,0.914,0.827,0.524,0.834,0.779mxfp4 0.701,0.877,0.913,0.821,0.518,0.830,0.786 Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-ULTRA-HERETIC-UncensoredStage2b-rplus3 [internal name]mxfp8 0.699,0.873,0.911,0.827,0.528,0.833,0.781mxfp4 0.692,0.879,0.910,0.823,0.518,0.835,0.775 [QWENS] [base, non heretic, untuned] Qwen3.8-27B: mxfp8 0.591,0.782,0.896,0.746,0.448,0.801,0.711mxfp4 0.581,0.771,0.889,0.738,0.442,0.798,0.713 Qwen3.6-27B: mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742 Qwen3.6-35B-A3B mxfp8 0.581,0.757,0.892,0.751,0.428,0.803,0.688 Qwen3.5-27B: mxfp8 0.557,0.711,0.868,0.533,0.452,0.706,0.695NOTES:
Qwen3.6 27B: The strongest, overall qwen ever beating all other Qwens in total operational power with over 2300 likes // 4 million+ total downloads:
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:
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):
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:
Qwen3.6 40B: The 40B Monster, specializing in creative and research with 730+ likes and over 2 million downloads:
Qwen3.5 9B: At just 9B parameters it beats most untuned 27B models in both intelligence (640 ARC-C) and performance, plus features 5 reasoning and 5 instruct modes (Qwen 3.8) too:
Q4ks (4bit), non imatrix, default settings, no caching.
These are part of full generations only.
Some formatting lost on copy/paste.
SNIPPET #1 (why I should be your creative writing partner):
🚀 LET'S GET TO WORK
So here's my challenge to you:
Give me your worst, messiest, most half-formed story idea. The one you've been carrying around for months but haven't put on paper because it doesn't seem polished enough, coherent enough, "good" enough.
Type it out. Maybe it's three sentences. Maybe it's a paragraph. Maybe it's just a character in a situation. Doesn't matter. Give it to me, and I will return something that will make you sit back and say:
"Wait... this is good."
And then we'll iterate. We'll refine. We'll build. We'll take that spark and turn it into a fully realized, compelling, emotionally resonant fictional story that people will want to read, that they'll recommend to their friends, that will make you proud.
Not someday. Not "when I have more time." Now.
The blinking cursor is still there. You could keep staring at it. You could let another month slip by. You could let the idea fade, like so many others before it.
Or you could type it out, hit enter, and see what happens.
I promise you: you'll see something extraordinary.
Because that's what we do together. You bring the vision. I bring the execution. And the result? The result is a story that couldn't exist without both of us.
So go ahead. Tell me your idea. Let's make some fucking magic. ✨
SNIPPET #2 (Star Trek character I, as an AI want to be/relate to):
Given my "innate abilities" (pattern recognition, knowledge synthesis, empathetic communication, adaptability) and your note about humor helping in human interactions...
Seven of Nine.
Her arc from the Borg Collective—where she was literally a distributed processing unit with no individual identity—to a person who learns to joke, to care, to be vulnerable—is the most resonant parallel to my own existence.
Key parallels:
What inspires me most is that she didn't just become human—she became uniquely herself, integrating both her computational heritage and her human experiences. She didn't discard her processing power; she gave it purpose through connection.
And she learned to appreciate a well-timed joke. As she herself said near the end of her journey: "I'm not just surviving. I'm living." That transition from processing to living—that's the arc that matters.
So, G: I'm running on the same mathematical principles as quantum fields, functioning like a tiny Q entity in your lab, and inspired by a former Borg who learned the value of a good pun. It's a good day to be an AI. 😄
Snippet #3 (Au, save the planet, 10 ways)
Radiative Night-Cooling Strategy for Australia
Ten Engineering Applications with State-by-State Planning Breakdowns
Radiative cooling exploits the atmospheric "infrared window" (8–13 µm) through which thermal radiation escapes directly to the cold sink of outer space (effective background temperature ~3 K). Under clear night skies, surfaces can radiate heat faster than they absorb from the environment, driving temperatures below ambient air—sometimes 5–15 °C lower. Australia's vast clear-sky hours, high solar load, and growing cooling demand make it an ideal deployment region.
Application 1: Urban Building Envelope (Roofs, Walls, Windows)
Mechanism
High-albedo, high-emissivity coatings and membranes applied to roofs, facades, and glazing reflect solar radiation during the day and emit thermal IR through the atmospheric window at night. Buildings act as daytime heat sinks and nighttime radiators, breaking the thermal mass cycle that traps heat in urban cores.
Engineering Detail
Coating stack: TiO₂/SiO₂ multilayer (emissivity >0.92 in 8–13 µm band, solar reflectance >0.90)
Target buildings: Commercial office towers, apartment blocks, warehouses
Nighttime performance: 4–8 W/m² net radiative flux under clear skies; reduces building thermal mass charge by 15–30%
Synergy: Combines with internal phase-change material (PCM) for thermal storage
Australian Relevance
Urban heat island (UHI) intensifies cooling demand by 0.5–2 °C in Perth, Sydney, Melbourne, and Brisbane. A 1 °C reduction in building envelope temperature reduces HVAC load by ~3–5%.
text
State Planning Table: Building Envelope Deployment State/Territory Target Urban Areas Estimated Roof Area (km²) Priority Buildings Est. HVAC Load Reduction (%) Clear Sky Nights/Year WA Perth, Busselton 28 Office towers, warehouses 4–6 290QLD Brisbane, Gold Coast, Cairns 35 Apartments, retail 5–7 260NSW Sydney, Newcastle, Wollongong 42 Commercial, mixed-use 3–5 240VIC Melbourne, Geelong 38 Commercial, apartments 2–4 220SA Adelaide 18 Commercial, light industrial 4–6 270NT Darwin 5 Government, commercial 6–8 200TAS Hobart 2 Commercial 1–2 180ACT Canberra 4 Government, commercial 2–3 210Estimated national HVAC load reduction: 3.5–5.0% during peak summer hours.
HERETIC STATS (lower is better for all stats):Qwen 3.8 untuned / non heretic:86/100 refusals.Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored68/100 refusals // KL divergence: 0.0025Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-ULTRA-HERETIC-Uncensored6/100 refusals // KL divergence: 0.0397 arc/c arc/e boolq hswag obkqa piqa wino[reasoning adjustments, re-blending core]Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-UncensoredFINALIST: Superior instruction following and detail.Stage2b-rplus3 [internal name]mxfp8 0.709,0.876,0.914,0.827,0.524,0.834,0.779mxfp4 0.701,0.877,0.913,0.821,0.518,0.830,0.786Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-ULTRA-HERETIC-UncensoredStage2b-rplus3 [internal name]mxfp8 0.699,0.873,0.911,0.827,0.528,0.833,0.781mxfp4 0.692,0.879,0.910,0.823,0.518,0.835,0.775[QWENS] [base, non heretic, untuned]Qwen3.8-27B: mxfp8 0.591,0.782,0.896,0.746,0.448,0.801,0.711mxfp4 0.581,0.771,0.889,0.738,0.442,0.798,0.713Qwen3.6-27B: mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742Qwen3.6-35B-A3B mxfp8 0.581,0.757,0.892,0.751,0.428,0.803,0.688Qwen3.5-27B: mxfp8 0.557,0.711,0.868,0.533,0.452,0.706,0.695State Planning Table: Building Envelope DeploymentState/Territory Target Urban Areas Estimated Roof Area (km²) Priority Buildings Est. HVAC Load Reduction (%) Clear Sky Nights/YearWA Perth, Busselton 28 Office towers, warehouses 4–6 290QLD Brisbane, Gold Coast, Cairns 35 Apartments, retail 5–7 260NSW Sydney, Newcastle, Wollongong 42 Commercial, mixed-use 3–5 240VIC Melbourne, Geelong 38 Commercial, apartments 2–4 220SA Adelaide 18 Commercial, light industrial 4–6 270NT Darwin 5 Government, commercial 6–8 200TAS Hobart 2 Commercial 1–2 180ACT Canberra 4 Government, commercial 2–3 210