← back to catalog · registered 2026-08-22 13:56

snowpea11/Qwen3-8B-Hivemind-Instruct-Heretic-Abliterated-Uncensored-NEO-Imatrix-GGUF

snowpea11 Qwen 8B GGUF 262K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/snowpea11%2FQwen3-8B-Hivemind-Instruct-Heretic-Abliterated-Uncensored-NEO-Imatrix-GGUF"
Response includes
  • classification m3
  • files 11
  • hub_downloads_all_time 3,403
  • author_summary 1 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · lifetime
3K
611 last 30d - stable
Likes
1
Model age
7mo ago
created 2026-03-07
Downloads over time
Now3.5K→from0↑0%
01.3K2.6K3.9K0 on Mar 43.5K on Oct 11MarAprMayJunJulAugSepOct
Mar 4 → Oct 11 · 71 snapshots · spans 221 days

Metadata

License
apache-2.0
Languages
en
Quantizations
Q4_K Q5_K Q8_0
Tags
gguf 256k context Qwen3 All use cases creative creative writing fiction writing plot generation sub-plot generation story generation scene continue storytelling
Total size
37.7 GB
Files
11
Quantizations
4
Registered
2026-08-22 13:56
Last updated on HF
2026-03-07 08:11

Files by quantization

Q8_0 1 file 7.58 GB
Qwen3-8B-Hivemind-Inst-Hrtic-Ablit-Uncensored-Q8_0.gguf 7.58 GB f4cc4945 download
Q5_K 2 files 10.0 GB
Qwen3-8B-Hivemind-Inst-Hrtic-Ablit-Uncensored-Q5_K_M-imat.gguf 5.08 GB 4a2d9a49 download
Qwen3-8B-Hivemind-Inst-Hrtic-Ablit-Uncensored-Q5_K_S-imat.gguf 4.96 GB cd073215 download
Q4_K 1 file 4.35 GB
Qwen3-8B-Hivemind-Inst-Hrtic-Ablit-Uncensored-Q4_K_M-imat.gguf 4.35 GB 25c95fbf download
Auxiliary files 7 files 15.7 GB
Qwen3-8B-Hivemind-Inst-Hrtic-Ablit-Uncensored-Q6_K-imat.gguf 5.86 GB ae7dd0d7 download
Qwen3-8B-Hivemind-Inst-Hrtic-Ablit-Uncensored-IQ4_XS-imat.gguf 3.93 GB c62aebe2 download
Qwen3-8B-Hivemind-Inst-Hrtic-Ablit-Uncensored-IQ3_M-imat.gguf 3.36 GB 633c3407 download
Qwen3-8B-Hivemind-Inst-Hrtic-Ablit-Uncensored-IQ2_M-imat.gguf 2.57 GB 55fcef4e download
hivemind-heretic.gif 2.02 MB ea18a2df download
README.md 5.31 KB 0adff831 download
.gitattributes 2.30 KB 0c970c40 download

README current version from Hugging Face


license: apache-2.0
language:

  • en
    tags:
  • 256k context
  • Qwen3
  • All use cases
  • creative
  • creative writing
  • fiction writing
  • plot generation
  • sub-plot generation
  • fiction writing
  • story generation
  • scene continue
  • storytelling
  • fiction story
  • science fiction
  • romance
  • all genres
  • story
  • writing
  • vivid prosing
  • vivid writing
  • fiction
  • roleplaying
  • bfloat16
  • heretic
  • uncensored
  • decensored
  • abliterated
  • finetune
  • Neo Imatrix
  • Brainstorm 40x
  • not-for-all-audiences
    pipeline_tag: text-generation

WARNING "HERETIC" version: Unlocked. UNFILTERED. NSFW. Vivid prose. INTENSE.
Visceral Details. Light to R-18 HORROR. Swearing. UNCENSORED... humor, romance, fun and... UNFILTERED TRUTH.

Qwen3-8B-Hivemind-Instruct-Heretic-Abliterated-Uncensored-NEO-Imatrix-GGUF

The Storm is coming... Unrestricted. Uncensored. Unleashed.

256k context, off the scale power.

NEO quants Imatrix quants.

Brainstorm 40x augment by DavidAU.

This is the one that will make closed source sweat.

This is the one that will make them all sweat.

This is the HIVEMIND, uncensored/unlocked/unrestricted
(see important notes below for maximum "choice") by the HERETIC method:

BEFORE:

Initial refusals: 99/100

AFTER:

Refusals: 8/100 [lower is better], KL divergence: 0.02 (less than 1 is great, "0" is perfect.)

BENCHMARKS:


MODEL                       arc_challenge,arc_easy,boolq,hellaswag,openbookqa,piqa,winogrande

Our 8B Instruct Model       0.558,0.757,0.861,0.665,0.420,0.748,0.628
Qwen3-30B-A3B-Thinking-2507 0.421,0.448,0.682,0.635,0.402,0.771,0.669

WANT EVEN MORE POWER, but maybe a wee bit of a "nanny"?

BENCHMARKS:

Qwen3-4B-Hivemind-Instruct-NEO-MAX-Imatrix-GGUF

arc_challenge,arc_easy,boolq,hellaswag,openbookqa,piqa,winogrande

0.613,0.842,0.855,0.748,0.428,0.781,0.709

https://huggingface.co/DavidAU/Qwen3-4B-Hivemind-Instruct-NEO-MAX-Imatrix-GGUF


Special Thanks:


This was a Colab project between Nightmedia and DavidAU.

Nightmedia:

https://huggingface.co/nightmedia

Thanks to the following model makers/tuners (models used in this project):

https://huggingface.co/Gen-Verse/Qwen3-4B-RA-SFT

https://huggingface.co/TeichAI/Qwen3-4B-Instruct-2507-Polaris-Alpha-Distill

https://huggingface.co/TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill

And of course team Qwen:

https://huggingface.co/Qwen

And Team Heretic (abliteration / refusal removal):

https://github.com/p-e-w/heretic


CHOICE : Using an "uncensored" (refusals removed) model VS trained "uncensored" model

Usually when you a tell a model to generate horror, swear or x-rated content this is all you have to do to get said content type.

In the case of this model, it will not refuse your request, however it needs to be "pushed" a bit / directed a bit more in SOME CASES.

Although this model will generated x-rated content too, likewise you need to tell it to use "slang" (and include the terms you want)
to get it generate the content correctly as the "expected" content level too.

Without these added directive(s), the content can be "bland" by comparison to an "uncensored model" or model trained on uncensored content.

Roughly, the model tries to generate the content but the "default" setting(s) are so "tame" it needs a push to generate at expected graphic,
cursing or explicit levels.

Even with minimal direction (ie, use these words to swear: x,y,z), this will be enough to push the model to generate the requested content in the ahh... expected format.


Settings: CHAT / ROLEPLAY and/or SMOOTHER operation of this model:

In "KoboldCpp" or "oobabooga/text-generation-webui" or "Silly Tavern" ;

Set the "Smoothing_factor" to 1.5

: in KoboldCpp -> Settings->Samplers->Advanced-> "Smooth_F"

: in text-generation-webui -> parameters -> lower right.

: In Silly Tavern this is called: "Smoothing"

NOTE: For "text-generation-webui"

-> if using GGUFs you need to use "llama_HF" (which involves downloading some config files from the SOURCE version of this model)

Source versions (and config files) of my models are here:

https://huggingface.co/collections/DavidAU/d-au-source-files-for-gguf-exl2-awq-gptq-hqq-etc-etc-66b55cb8ba25f914cbf210be

OTHER OPTIONS:

  • Increase rep pen to 1.1 to 1.15 (you don't need to do this if you use "smoothing_factor")

  • If the interface/program you are using to run AI MODELS supports "Quadratic Sampling" ("smoothing") just make the adjustment as noted.

Highest Quality Settings / Optimal Operation Guide / Parameters and Samplers

This a "Class 1" model:

For all settings used for this model (including specifics for its "class"), including example generation(s) and for advanced settings guide (which many times addresses any model issue(s)), including methods to improve model performance for all use case(s) as well as chat, roleplay and other use case(s) please see:

[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]

You can see all parameters used for generation, in addition to advanced parameters and samplers to get the most out of this model here:

[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-03-07Duplicate from DavidAU/Qwen3-8B-Hivemind-Instruct-Heretic-Abliterated-Uncenso...38b2a1d5.3 KB
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration