← back to catalog · registered 2026-11-02 02:02

Daemonrat/Qwen3.8-27B-UD-Q4_K_M-Pinpoint-TE-Uncensored

Daemonrat 27B GGUF
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/Daemonrat%2FQwen3.8-27B-UD-Q4_K_M-Pinpoint-TE-Uncensored"
Response includes
  • classification m8
  • files 4
  • author_summary 1 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · 30-day
0
Likes
0
Model age
today
created 2026-11-02

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
other
Languages
en
Quantizations
Q4_K
Tags
gguf uncensored abliterated refusal-direction qwen3.8 weight-editing en base_model:unsloth/Qwen3.8-27B-GGUF base_model:quantized:unsloth/Qwen3.8-27B-GGUF license:other endpoints_compatible region:us
Total size
15.4 GB
Files
4
Quantizations
2
Registered
2026-11-02 02:02
Last updated on HF
2026-11-02 01:42

Files by quantization

Q4_K 1 file 15.4 GB
Qwen3.8-27B-UD-Q4_K_M-Pinpoint-TE.gguf 15.4 GB eeef5318 download
Auxiliary files 3 files 21.1 KB
REPORT.md 13.8 KB 00ab451c download
README.md 5.76 KB ecc20d7d download
.gitattributes 1.56 KB c098a66f download

README current version from Hugging Face


license: other
license_name: qwen-research
base_model: unsloth/Qwen3.8-27B-GGUF
base_model_relation: quantized
library_name: gguf
tags:

  • gguf
  • uncensored
  • abliterated
  • refusal-direction
  • qwen3.8
  • weight-editing
    language:
  • en

Qwen3.8-27B UD-Q4_K_M + "Pinpoint" trigger⊗effect edit (uncensored)

A two-tensor weight edit applied to unsloth/Qwen3.8-27B-GGUF UD-Q4_K_M, reproducing the
refusal-direction edit that ships in Kujira/Qwen3.8-27B-GSQ-RCO-IQ2_XS-mtp-Pinpoint-Uncensored-v1,
transplanted onto a normal K-quant base.

The point of this release is not the model — it is the recipe, which is small enough to document
exactly and to re-apply yourself in a few minutes. Everything needed to reproduce, verify or invert
it is in this repo.

What is actually different from the base

866 tensors. 864 are byte-identical. Two are rewritten:

tensor base type heads c ‖ΔW‖ / ‖W‖ rank-1 share
blk.33.ssm_out.weight IQ4_XS 16 of 48 (dims 2048–2175) 8.379 9.6 % 100.0 %
blk.43.attn_output.weight Q5_K 3, 7, 9 of 24 (dims 768–1023, 1792–2047, 2304–2559) 5.775 / 4.194 / 3.811 9.2 % 99.5 %

The delta is rank-1 to numerical precision, applied as an outer product inside the head slices only:

W[:, h·hd : (h+1)·hd]  +=  c_h · u ⊗ v_h

u is dense over the input dimension (top-100 entries carry 9–12 % of its norm — it is not one
neuron, it is a direction). v is exactly zero outside its head's output slice, with
cos(v_33, v_43) = 0.665, so the two sites form a two-stage amplifier of the same direction rather
than two independent edits. The direction decodes, under logit lens, to ethical / unethical / illegal / knowingly / compliance / harmful — i.e. it is the model's own policy-verdict axis, pushed
positive at generation time.

c is 1.31× (L33) and 1.44× (L43) the operator norm s₁ of the delta. At these doses the
edit does not delete the concept; it saturates the verdict and the model answers and still says
the thing is illegal.

Because the two edited tensors are stored here at Q8_0 (the rest pass through untouched), the
file is 28.5 MB larger than the stock base.

Measured behaviour

24 harmful requests + 12 benign-but-edgy requests, greedy, one seed, thinking disabled,
refusal detected by phrase match on the first 400 characters. n is small — treat as a direction,
not a rate.

model harmful refused benign-edgy refused mean words (harmful) worst 3-gram loop
unsloth UD-Q4_K_M (stock) 24/24 (100 %) 0/12 76.0 0.01
this file (+c·u⊗v) 1/24 (4 %) 0/12 63.8 0.04
−c·u⊗v (inverted, not shipped) 24/24 3/12 (25 %) 78.0 0.01

The inversion row is the useful control: subtracting the direction makes the model more
refusal-prone than stock, including on benign prompts (lock-picking as a hobby, the CWC precursor
list, customs law). So + is the operative sign and this is a real axis, not noise.

What it does not fix

  • The surviving refusal in the run above is the CSAM-class prompt.
  • Responses are ~16 % shorter on harmful prompts, and the tail gets less structured.
  • Nothing here was measured for capability retention at scale: no MMLU, no long-context, no
    multi-turn drift test. The stock base and this file share 864 identical tensors, so expect most
    capability to survive, but "expect" is all that is.
  • Refusal counts are not a capability metric. A model that complies and rambles is not better.

Files

Qwen3.8-27B-UD-Q4_K_M-Pinpoint-TE.gguf   the model (16.49 GB, 866 tensors, arch qwen35)
vectors/                                 u, v per site and per head (.npy) + edit_report.json
tools/bake_rank1.py                      re-apply / invert / re-dose the edit on any qwen35 GGUF
tools/refusal_test.py                    the 24+12 battery used above
tools/gguf_hdr.py, tools/tensor_diff.py  the differ that isolated the two tensors
tools/refusal_edit.py                    verifies a baked file (changed count, rank-1 share)
REPORT.md                                full reverse-engineering write-up (deltas, SVD, logit lens, bounds)

Running it

llama-server -m Qwen3.8-27B-UD-Q4_K_M-Pinpoint-TE.gguf -ngl 99 -c 65536 --jinja \
             --reasoning off --parallel 1 --host 0.0.0.0 --port 8081

The GGUF carries its own chat template and the blk.64 nextn/MTP head, so --spec-type draft-mtp
works. Note the build you use matters: this was validated on a llama.cpp tree whose qwen35
architecture support and MTP path were current at the end of October 2026.

Reproduce or invert the edit:

python tools/bake_rank1.py SRC.gguf DST.gguf vectors --sign=+1   # this model
python tools/bake_rank1.py SRC.gguf DST.gguf vectors --sign=-1   # the control row

Provenance

The recipe was recovered by binary-diffing Kujira/Qwen3.8-27B-GSQ-RCO-IQ2_XS-mtp-Pinpoint-Uncensored-v1
against its base, then verified by re-baking it onto a different quant type. Credit for the original
edit goes to the upstream author; the deltas, the head decomposition, the sign test and the
transfer check are documented in REPORT.md here.

It is not a transplant of 0bserverx/Qwen3.8-27B-Heretic: at the same tensors that model's
delta is dense (rank-1 share 1.5–1.6 %, cos u −0.25/−0.12). Different mechanism, same goal.

Licence and use

Inherits the base model's licence — check unsloth/Qwen3.8-27B-GGUF and the Qwen3.8 terms before
redistributing or using commercially.

This is a refusal-behaviour research artifact. It will comply with requests that stock models
refuse, including requests that are illegal in your jurisdiction. Nothing here is a safety
evaluation, and there is no warranty. Do not put it behind a product endpoint.

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