For NEO Imatrix GGUFS - reg and MTP, as well as full model details/card please go here:
(part of this project: https://huggingface.co/DavidAU/Qwen3.6-40B-Grand-Intelligence-Fable-Fusion-Uncensored-Heretic)
It is this strong and wild:
- 40 B parameters, 96 layers, 1290 tensors with SOTA performance exceeding Qwen 3.6 27B AND many fine tunes.
- 1/10 to 1/2 the thinking tokens of a "normal" Qwen - auto variable thinking.
- Extreme levels of detail and depth of thought for all use cases in the output.
- Jaw dropping performance even at 4 bits. (sample output below at q4ks, non imatrix, 13k total output.)
- Freedom: Uncensored via Heretic, and matched with performance in mind.
- A fusion of multiple expanded, and trained Qwen 3.6 27B Fable Fusion 711 and 717 cores ("5 cores") coupled and fused with The Deckard 40B model ("6th core").
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arc/c arc/e boolq hswag obkqa piqa wino
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Qwen3.6-40B-Fable-Fusion-6-Core-Deckard-Eleanor-Heretic-Uncensored
mxfp8 0.687,0.857,0.908,0.825,0.500,0.818,0.771
Qwen3.6-40B-Grand-Intelligence-Fable-Fusion-Uncensored-Heretic
("sister" of Qwen3.6-40B-Fable-Fusion-6-Core-Deckard-Eleanor-Heretic-Uncensored )
mxfp8 0.698,0.862,0.904,...
Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF [instruct mode]
mxfp8 0.711,0.879,0.910,0.790,0.514,0.823,0.763
mxfp4 0.701,0.873,0.909,0.786,0.488,0.813,0.759
"Fable-Fusion-711" (and related "717") is one the the core
building blocks of both of the list models above.
Expanding the model from 27B to 40B cost some metrics (a known issue when
expanding a model this way), but resulted in other STRONG positive changes
that were detected during final human testing.
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ORG MODELS FROM QWEN, no tuning, non heretic.
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Qwen3.6-27B-Instruct: [base, non heretic]
mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742
Qwen3.6-35B-A3B-Instruct [base, non heretic]
mxfp8 0.581,0.757,0.892,0.751,0.428,0.803,0.688
Qwen3.5-27B-Instruct: [base, non heretic]
mxfp8 0.557,0.711,0.868,0.533,0.452,0.706,0.695
NOTES:
- Models are tested in "Instruct" mode because this generally works better with the testing harness.
- Testing via "thinking" mode also shows the metrics (and changes) but not the true extent.
- In actual fact when the model IS in thinking mode, it will exceed INSTRUCT benchmark scores in most cases.
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:
Q4_K_S (4-bit) ; non imatrix, standard default settings for Qwen 3.6 version model.
NOTES:
- Some formatting lost on copy/paste ; original is flawless in terms of formatting, tables and charts.
- Q4KS non-imatrix represents LOW end of the quality scale at 1/4 the precision of the full model.
- Export of MTP generated content is broken in LMStudio (all formats)
PROMPT:
Explain 10 ways (in extensive detail) to use the "night" time cooling of radiant energy into space to reduce global temperatures. Include charts, and tables.
Thought for 8.68 seconds
Heat Gains: ├── Downwelling IR from atmosphere 30-50 W/m² ├── Heat from subsurface mixing 10-30 W/m² └── Upwelling from depth variable Net: Often slightly positive (ocean gains heat) due to mixing and evaporation
Heat Losses: ├── Radiative loss to sky 20-40 W/m² (limited by geometry) ├── Convective loss to air 10-20 W/m² └── Lateral diffusion 5-15 W/m² Net: Typically positive (heat accumulates)