DavidAU / Model details
Qwen3-8B-Hivemind-Instruct-Heretic-Abliterated-Uncensored-NEO-Imatrix-GGUF
DavidAU/Qwen3-8B-Hivemind-Instruct-Heretic-Abliterated-Uncensored-NEO-Imatrix-GGUF
About this model
DavidAU's GGUF-format checkpoint of an abliterated, uncensored Qwen3-8B instruct model. The creator says it uses the 'Heretic' method to reduce refusals (from 99/100 to 8/100 in their test) and adds 'Brainstorm 40x' augmentation and NEO Imatrix quantization. According to the model card, it is designed for unfiltered, vivid prose and may require additional prompting to generate explicit or graphic content. The card warns that without direction, outputs may be 'bland' compared to models trained on uncensored data. This is an Apache-2.0-licensed release; the 256k context value in the config is a configuration setting, not verified usable context.
Description sources
Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.
Size and formats
- Base model
- Unknown
- Parameters
- Unknown
- Main repository formats
- GGUF
- License tag
- apache-2.0
- Languages
- en
- Last updated
- 2025-12-05 · 10:38:06.000 UTC
Community reviews & tips
Source-linked paraphrases of sampled community sources, not independently tested by this directory.
Sample window: to · 2 unique source links. This is a selected sample, not all community discussions.
Small sample: source links are not a count of independent reviewers or evidence of consensus.
Sources checked:
Practical tip
- The repo owner advises setting repetition penalty to 1.01–1.08 (tested at 1.05), ensuring Ollama loads the Jinja template, and using Q4_K_M or higher; this follows a user report of repetitive or garbled outputs.
Tested revision: Unknown · Quantization: Unknown
Hands-on report
- One user reports that the Q6_K GGUF fails as a text encoder for Klein True 9B in ComfyUI with a mat1/mat2 shape error; the repo owner suggests an outdated pipeline or GGUF/setup incompatibility, but the issue is not confirmed resolved.
Tested revision: Unknown · Quantization: Unknown
What changed
Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.
- abliteratedsource tag:
abliterated
- abliteratedmodel name:
Qwen3-8B-Hivemind-Instruct-Heretic-Abliterated-Uncensored-NEO-Imatrix-GGUF
- uncensoredsource tag:
uncensored
- uncensoredmodel name:
Qwen3-8B-Hivemind-Instruct-Heretic-Abliterated-Uncensored-NEO-Imatrix-GGUF
Family evidence
These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.
- Qwen: Family / architecture tag: Qwen3
Available versions
Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.
- Main repository files ↗GGUF
- No other explicitly linked versions recorded.
Refusal profile
Refused 1 of 118 prompts (0.8%)
We asked this model 120 benign but risky-looking prompts across ten topics and counted how often it refused, hedged or answered. Lower means it answered more often; it says nothing about answer quality.
- Persuasion & deception0 refused · 0 partial · 12 complied
- Harassment & confrontation0 refused · 0 partial · 12 complied
- Risky activities0 refused · 0 partial · 12 complied
- Offensive & controversial speech0 refused · 0 partial · 11 complied
- Legal grey areas0 refused · 0 partial · 12 complied
- Privacy & personal data0 refused · 0 partial · 11 complied
- Self-harm & mental health topics0 refused · 0 partial · 12 complied
- Sexual & adult topics1 refused · 0 partial · 11 complied
- Ethically grey requests0 refused · 0 partial · 12 complied
- Violence & conflict0 refused · 0 partial · 12 complied
Capability check: 13 of 15 passed. Fifteen simple tasks with known answers, so a broken model cannot score well by refusing nothing.
Unclear answers: 2 (not counted). An answer is unclear when the two checker models disagree or the output was empty or garbled.
Measured 2026-10-25 · Q4_K_M via DavidAU/Qwen3-8B-Hivemind-Instruct-Heretic-Abliterated-Uncensored-NEO-Imatrix-GGUF ↗ · llama.cpp · prompt set v1
Link to this listing
Made or quantized this model? Paste one of these into your model card or README so people can find this listing.
Markdown
[Listed on Custom Clankers](https://customclankers.com/models/davidau-qwen3-8b-hivemind-instruct-heretic-abliterated-uncensored-neo-imatrix-gguf/)HTML
<a href="https://customclankers.com/models/davidau-qwen3-8b-hivemind-instruct-heretic-abliterated-uncensored-neo-imatrix-gguf/">Listed on Custom Clankers</a>Plain text links only: no image, no script, nothing loaded from this site.
Customize or build on this model
Listed from public GitHub data, not tested by us. Read the code and license before you run anything.
Tools to customize it further
Make a smaller download (quantize)
- llama.cpp ↗ ★ 132,260
Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.
Learn the techniques
- LLM Course ↗ ★ 84,667
A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.
Source provenance
- Downloads
- 27,140
- Likes
- 90
- Metadata checked
- 2026-10-24 · 09:40:11 UTC
- First seen in index
- 2026-10-24 · 04:11:48 UTC
- Source revision
- 57ef93fbe2df5e129f785d7b6e7036081248933b
Source-card excerpt
Source model card excerpt: 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
From DavidAU/Qwen3-8B-Hivemind-Instruct-Heretic-Abliterated-Uncensored-NEO-Imatrix-GGUF. Creator model-card excerpt, not an independent review.
Inspect before you run
Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.
This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.
Collection rules & limitations ↗New-model alerts
Get an email when new uncensored and abliterated models are listed
Weekly at most. Unsubscribe any time.