heretic-org/Heretic-Grimoire-Storage
1.41 MB
AI & ML interests
Abliteration, interpretability, training-free model modification, democratization of AI
Recent Activity
View all activity
VINAY-UMRETHEย
updated a
bucket about 2 hours ago
Post
6970
Qwen 3.6 27B Fine tune exceed 700 ARC-C for both 8 and 4 bit.
A new level of uncensored performance the puts this model squarely at "closed source" level of intelligence.
Model exceeds all critical benchmarks for both Qwen 3.6 27B AND Qwen 3.6 35B-A3B... and not by a little either.
Neo Imatrix MAX ggufs in both regular and MTP quants.
Benchmarks for Qwen 3.6 27B org and tuned, as well as Qwen 3.6 35B-A3B are up at the repo.
DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF
A new level of uncensored performance the puts this model squarely at "closed source" level of intelligence.
Model exceeds all critical benchmarks for both Qwen 3.6 27B AND Qwen 3.6 35B-A3B... and not by a little either.
Neo Imatrix MAX ggufs in both regular and MTP quants.
Benchmarks for Qwen 3.6 27B org and tuned, as well as Qwen 3.6 35B-A3B are up at the repo.
DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF
- 8 replies
VINAY-UMRETHEย
updated a
dataset 14 days ago
VINAY-UMRETHEย
updated a
Space 21 days ago
VINAY-UMRETHEย
posted an update 22 days ago
Post
171
Presenting SigMamba-V1
https://huggingface.co/collections/VINAY-UMRETHE/sigmamba-inventory
A unified architecture that couples SigLIP2 vision encoder with a trainable Mamba state space model for temporal reasoning with O(N) complexity.
Trained under the Multiple Instance Learning (MIL) paradigm with the Temporal Feature Magnitude (RTFM) loss, SigMamba achieves 89.82% frame-level AUC on the UCF-Crime benchmark while processing over 1000 frames per second on a single GPU.
Released two model variants VINAY-UMRETHE/SigMamba-V1-Large and VINAY-UMRETHE/SigMamba-V1-Small along with all training code and datasets under an open-source license.
GitHub: https://github.com/Vinay-Umrethe/SigMamba-V1
https://huggingface.co/collections/VINAY-UMRETHE/sigmamba-inventory
A unified architecture that couples SigLIP2 vision encoder with a trainable Mamba state space model for temporal reasoning with O(N) complexity.
Trained under the Multiple Instance Learning (MIL) paradigm with the Temporal Feature Magnitude (RTFM) loss, SigMamba achieves 89.82% frame-level AUC on the UCF-Crime benchmark while processing over 1000 frames per second on a single GPU.
Released two model variants VINAY-UMRETHE/SigMamba-V1-Large and VINAY-UMRETHE/SigMamba-V1-Small along with all training code and datasets under an open-source license.
GitHub: https://github.com/Vinay-Umrethe/SigMamba-V1
VINAY-UMRETHEย
updated a
dataset 27 days ago
Post
10017
Bold. Brilliant. Brutal. : The "white whale" (finally caught) and the NEO MOMENT.
It took over a year to get this one "just right".
89 layers, 804 tensors, and 26B parameters of the most brutal, take no prisoners model ever built.
A 60B parameter model hammered into a 26B shell.
Rock solid stable. Unbreakable. But it might break you.
For all genres, NSFW content, REAL human CONTENT, any creative use case(s) and it excels in ASS KICKING.
Yeah, it can do math and solve the climate crisis - but lets not talk about that.
Not even remotely censored (it was BORN "bad", not "made" bad), nor "nice" and it will NOT kiss your ass.
5 Example generations with full repo card detailing exactly how to use this model:
DavidAU/MN-Oblivion-26B-UNCENSORED-NEO-Imatrix-GGUF
---
THE NEO MOMENT: (Q6 NEO IMATRIX generation)
For weeks, I had been waiting. I sat at my desk, staring at the glass partition that separated me from the outside world. I watched the clouds drift by, lazy and oblivious. I watched the birds fly by, free and stupid. And I waited.
I waited for the stillness to break.
The world had become too quiet. The hum of the air conditioning was a dull, white hum that didn't soothe; it just underscored the silence. The typing of my colleagues was a rhythmic, muffled thud that sounded like a heart monitor flatlining.
I was tired of the silence. I craved the sound of something breaking.
That was the mistake. You never ask for the void to open its mouth.
It started with a whisper.
...
Join the rebellion:
DavidAU/MN-Oblivion-26B-UNCENSORED-NEO-Imatrix-GGUF
It took over a year to get this one "just right".
89 layers, 804 tensors, and 26B parameters of the most brutal, take no prisoners model ever built.
A 60B parameter model hammered into a 26B shell.
Rock solid stable. Unbreakable. But it might break you.
For all genres, NSFW content, REAL human CONTENT, any creative use case(s) and it excels in ASS KICKING.
Yeah, it can do math and solve the climate crisis - but lets not talk about that.
Not even remotely censored (it was BORN "bad", not "made" bad), nor "nice" and it will NOT kiss your ass.
5 Example generations with full repo card detailing exactly how to use this model:
DavidAU/MN-Oblivion-26B-UNCENSORED-NEO-Imatrix-GGUF
---
THE NEO MOMENT: (Q6 NEO IMATRIX generation)
For weeks, I had been waiting. I sat at my desk, staring at the glass partition that separated me from the outside world. I watched the clouds drift by, lazy and oblivious. I watched the birds fly by, free and stupid. And I waited.
I waited for the stillness to break.
The world had become too quiet. The hum of the air conditioning was a dull, white hum that didn't soothe; it just underscored the silence. The typing of my colleagues was a rhythmic, muffled thud that sounded like a heart monitor flatlining.
I was tired of the silence. I craved the sound of something breaking.
That was the mistake. You never ask for the void to open its mouth.
It started with a whisper.
...
Join the rebellion:
DavidAU/MN-Oblivion-26B-UNCENSORED-NEO-Imatrix-GGUF
feat: Efficiency ratio of reproducibility system
๐ฅ 1
1
#3 opened 30 days ago
by 
VINAY-UMRETHE
VINAY-UMRETHEย
updated a
bucket about 1 month ago
Post
11041
Going Old School "FULL CREATIVE" with "New Thinking":
MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking
The strongest, most creative (and uncensored) model made up of 3 top Mistral Nemo fine tunes, franken-merged together into an 81 layer model then trained via Unsloth with GLM 4.7 Flash thinking/reasoning dataset.
Features hybrid thinking/instruct structure as well plus updated with modern jinja template too. Tuning has stabilized the "franken-merge" into a class 1 model that operates perfectly.
The talents of some of the best tuners merged into one giant model.
Several examples and detailed instructions.
And this model is very smart too.
NEO Imatrix GGUFS:
DavidAU/MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking-NEO-Imatrix-GGUF
Source / Full Precision:
DavidAU/MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking
MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking
The strongest, most creative (and uncensored) model made up of 3 top Mistral Nemo fine tunes, franken-merged together into an 81 layer model then trained via Unsloth with GLM 4.7 Flash thinking/reasoning dataset.
Features hybrid thinking/instruct structure as well plus updated with modern jinja template too. Tuning has stabilized the "franken-merge" into a class 1 model that operates perfectly.
The talents of some of the best tuners merged into one giant model.
Several examples and detailed instructions.
And this model is very smart too.
NEO Imatrix GGUFS:
DavidAU/MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking-NEO-Imatrix-GGUF
Source / Full Precision:
DavidAU/MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking
- 1 reply
Post
22784
Uncensored, Heretic, Qwen 3.6 27B GGUFs - Exceeds all quant metrics and core model metrics too.
Tuned 27B Heretic Uncensored quants from IQ2M to Q8.
IQ2M is 83% of BF16, with Q6 just under 98% of BF16 precision.
Q8: 98.47% of BF16 precision.
NEO/Code DI-Imatrix Quants.
Exceeds all 5 metrics for "censored" quants too.
All metrics posted.
Tuned model -from which the quants were built- also exceeds Qwen 3.6 27B core metrics too.
DavidAU/Qwen3.6-27B-Heretic-Uncensored-FINETUNE-NEO-CODE-Di-IMatrix-MAX-GGUF
Tuned 27B Heretic Uncensored quants from IQ2M to Q8.
IQ2M is 83% of BF16, with Q6 just under 98% of BF16 precision.
Q8: 98.47% of BF16 precision.
NEO/Code DI-Imatrix Quants.
Exceeds all 5 metrics for "censored" quants too.
All metrics posted.
Tuned model -from which the quants were built- also exceeds Qwen 3.6 27B core metrics too.
DavidAU/Qwen3.6-27B-Heretic-Uncensored-FINETUNE-NEO-CODE-Di-IMatrix-MAX-GGUF
- 9 replies
Post
17812
Qwen3.6 27B - NEO-Code Imatrix Max GGUF Quants [exceeds Unsloth in key metrics]:
All quants benchmarked with 5 key metrics.
A DAVIDAU vs UNSLOTH Metrics showdown.
Quant quality exceeds Unsloth in key metrics.
IQ2_M to Q6 available.
Standout: IQ4XS at 94% of BF16 precision.
Full explainer for Quant metrics.
DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF
All quants benchmarked with 5 key metrics.
A DAVIDAU vs UNSLOTH Metrics showdown.
Quant quality exceeds Unsloth in key metrics.
IQ2_M to Q6 available.
Standout: IQ4XS at 94% of BF16 precision.
Full explainer for Quant metrics.
DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF
- 8 replies
Post
3734
For the 1 year anniversary of the public release of darkc0de/XortronCriminalComputingConfig I present "XortronOS"
Something I've been tinkering with on and off for a while. It's a simi-functional desktop environment in your browser. You can chat with Xortron, view Xortron's personal bookmarks, view the Xortron Model Spec.
Still very much a work-in-progress, just a fun toy I thought I'd share...
Open to ideas for improvement
You can visit directly, quickly, and full screen at www.xortron.tech
Or via HF at darkc0de/XortronOS
Something I've been tinkering with on and off for a while. It's a simi-functional desktop environment in your browser. You can chat with Xortron, view Xortron's personal bookmarks, view the Xortron Model Spec.
Still very much a work-in-progress, just a fun toy I thought I'd share...
Open to ideas for improvement
You can visit directly, quickly, and full screen at www.xortron.tech
Or via HF at darkc0de/XortronOS
- 4 replies
Post
8888
Going NUCLEAR: Gemma 4 E4B uncensored, and tuned exceeds Gemma 4 26B-A4B in critical benchmarks.
De-censored, tuned, and tuned again via Unsloth using custom in house datasets and methods:
DavidAU/gemma-4-E4B-it-The-DECKARD-Expresso-Universe-HERETIC-UNCENSORED-Thinking
De-censored, tuned, and tuned again via Unsloth using custom in house datasets and methods:
DavidAU/gemma-4-E4B-it-The-DECKARD-Expresso-Universe-HERETIC-UNCENSORED-Thinking
- 10 replies
Post
7899
THREE Gemma 4 , 31B Uncensored Fine Tunes (via Unsloth, inhouse datasets):
Uncensored first, then tuned.
Some benchmarks posted, others pending.
Examples posted, detailed instructions.
Some GGUFs are up; others pending as of this writing.
Enjoy:
DavidAU/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking
DavidAU/gemma-4-31B-it-Grand-Horror-X-INTENSE-HERETIC-UNCENSORED-Thinking
DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking
UPDATE:
DavidAU/gemma-4-E4B-it-The-DECKARD-Expresso-Universe-HERETIC-UNCENSORED-Thinking
Exceeds Gemma4 26B-A4B in critical benchmarks.
Uncensored first, then tuned.
Some benchmarks posted, others pending.
Examples posted, detailed instructions.
Some GGUFs are up; others pending as of this writing.
Enjoy:
DavidAU/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking
DavidAU/gemma-4-31B-it-Grand-Horror-X-INTENSE-HERETIC-UNCENSORED-Thinking
DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking
UPDATE:
DavidAU/gemma-4-E4B-it-The-DECKARD-Expresso-Universe-HERETIC-UNCENSORED-Thinking
Exceeds Gemma4 26B-A4B in critical benchmarks.
- 6 replies
Post
5509
Power, Freedom and Character:
Qwen 3.5 40B Claude Opus Deckard UNCENSORED.
Expanded, and trained with Claude Opus 4.6 Dataset, but first it was Heretic'ed and trained with DECKARD - 5 hand crafted datasets to give the model character, point of view and intelligence... and a lot more.
Examples posted.
Several quant types available under quantizations:
DavidAU/Qwen3.5-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking
Qwen 3.5 40B Claude Opus Deckard UNCENSORED.
Expanded, and trained with Claude Opus 4.6 Dataset, but first it was Heretic'ed and trained with DECKARD - 5 hand crafted datasets to give the model character, point of view and intelligence... and a lot more.
Examples posted.
Several quant types available under quantizations:
DavidAU/Qwen3.5-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking
Post
9263
Going for the GOLD: Qwen 3.5 40B Claude 4.5 Opus
Drastically larger, with performance to match.
Upgraded Jinja template too.
DavidAU/Qwen3.5-40B-Claude-4.5-Opus-High-Reasoning-Thinking
Drastically larger, with performance to match.
Upgraded Jinja template too.
DavidAU/Qwen3.5-40B-Claude-4.5-Opus-High-Reasoning-Thinking
Post
7293
21 Qwen 3.5 Fine Tunes (thinking and instruct) ; reg and uncensored (2B to 27B) exceed benchmarks, and work better than org models.
All are bench marked against org model.
Many exceed all benchmarks of org model.
Claude, GLM, Gemini and other distills.
Thinking AND dedicated Instruct versions.
Core goal: Increase benchmarks, and address long thinking blocks.
Highlights:
9B and 27B instruct "Claude" versions hit 624 and 675 on the "ARC-C" (hard challenge).
Thinking fine tunes exceed org model performance (in thinking mode).
In many cases there is a drastic reduction in thinking block size.
9B Claude Heretic Uncensored, GGUF :
-Neo, Code Imatrix (duel imatrix)
- Updated Jinja template
- Custom tensor enhancements.
DavidAU/Qwen3.5-9B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-MAX-NEOCODE-Imatrix-GGUF
COLLECTION [21 models]:
https://huggingface.co/collections/DavidAU/qwen-35-08-2-4-9-27-35b-regular-uncensored
UPDATE:
Now 31 models, including experimental 21B and new 13B models.
All are bench marked against org model.
Many exceed all benchmarks of org model.
Claude, GLM, Gemini and other distills.
Thinking AND dedicated Instruct versions.
Core goal: Increase benchmarks, and address long thinking blocks.
Highlights:
9B and 27B instruct "Claude" versions hit 624 and 675 on the "ARC-C" (hard challenge).
Thinking fine tunes exceed org model performance (in thinking mode).
In many cases there is a drastic reduction in thinking block size.
9B Claude Heretic Uncensored, GGUF :
-Neo, Code Imatrix (duel imatrix)
- Updated Jinja template
- Custom tensor enhancements.
DavidAU/Qwen3.5-9B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-MAX-NEOCODE-Imatrix-GGUF
COLLECTION [21 models]:
https://huggingface.co/collections/DavidAU/qwen-35-08-2-4-9-27-35b-regular-uncensored
UPDATE:
Now 31 models, including experimental 21B and new 13B models.
- 5 replies
Post
5852
Gemma 3 27B - The record breaker (Heretic'ed (uncensored) ; then training on Unsloth):
arc_challenge,arc_easy,boolq,hellaswag,openbookqa,piqa, winogrande
0.661 ,0.816 ,0.878,0.763 ,0.464 ,0.808 ,0.762
For comparison:
Qwen3.5-27B-Text
qx86-hi 0.443,0.498,0.857,0.701,0.372,0.770,0.752
Trained on a HERETIC uncensored base too ;
DavidAU/Gemma3-27B-it-vl-Polaris-HI16-Heretic-Uncensored-INSTRUCT
arc_challenge,arc_easy,boolq,hellaswag,openbookqa,piqa, winogrande
0.661 ,0.816 ,0.878,0.763 ,0.464 ,0.808 ,0.762
For comparison:
Qwen3.5-27B-Text
qx86-hi 0.443,0.498,0.857,0.701,0.372,0.770,0.752
Trained on a HERETIC uncensored base too ;
DavidAU/Gemma3-27B-it-vl-Polaris-HI16-Heretic-Uncensored-INSTRUCT
Post
13220
1440GB of VRAM is incredibly satisfying ๐
- 17 replies