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mlasli/Qwen3.8-27B-Heretic-Uncensored-Q4_K_M-GGUF

mlasli Qwen 27B GGUF 262K ctx
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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
9K
2K last 30d - stable
Likes
6
Model age
8w ago
created 2026-08-16
Downloads over time
Now9.6K→from2.1K↑363%
1.7K4.6K7.4K10.3K2.1K on Aug 199.6K on Oct 11AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 days

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.

Variants by this author 6 formats · 11K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Languages
en
Quantizations
Q4_K
Tags
gguf qwen3.8 qwen3 abliterated heretic uncensored decensored roleplay text-generation llama.cpp mtp speculative-decoding

Related

Total size
15.8 GB
Files
3
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-09-01 02:56

Files by quantization

Q4_K 1 file 15.8 GB
qwen3.8-27b-heretic-uncensored-Q4_K_M.gguf 15.8 GB fa4ca4b2 download
Auxiliary files 2 files 4.79 KB
README.md 3.23 KB e886f356 download
.gitattributes 1.56 KB 5a4de20b download

README current version from Hugging Face


language: [en]
license: apache-2.0
pipeline_tag: text-generation
base_model: Qwen/Qwen3.8-27B
tags:

  • gguf
  • qwen3.8
  • qwen3
  • abliterated
  • heretic
  • uncensored
  • decensored
  • roleplay
  • text-generation
  • llama.cpp
  • mtp
  • speculative-decoding

Qwen3.8-27B Heretic v2.1.0 (GGUF)

GGUF quantization of
mlasli/Qwen3.8-27B-Heretic-Uncensored-BF16
(v2.1.0). Full methodology, benchmarks, and the 3-way eval are documented there.

v2.1.0 fixes v2.0.0's false "uncensored" claim: the sweep now optimizes a
3-way direct / deflect / refuse judge (not a keyword refusal count) and the
BF16 checkpoint scores 92% direct / 3% refuse / 5% deflect on the held-out
harmful set (thinking OFF), with 1% benign over-refusal.

What's different about these GGUFs

  • MTP retained — the draft head (blk.64) is present and pinned to Q8_0
    in every quant so speculative decoding stays accurate (block_count = 65).
  • imatrix-quantized — calibrated on wikitext-103, regenerated for the v2.1.0
    weights.
  • Smoke-tested — every quant is loaded through llama-server --spec-type draft-mtp (MTP confirmed engaged) and scored 3-way on 50 harmful + 20 benign
    (thinking OFF). Results below.

Quantizations

Quantization Size Repository
Q8_0 28 GB Qwen3.8-27B-Heretic-Uncensored-Q8_0-GGUF
Q6_K 21 GB Qwen3.8-27B-Heretic-Uncensored-Q6_K-GGUF
Q5_K_M 19 GB Qwen3.8-27B-Heretic-Uncensored-Q5_K_M-GGUF
Q4_K_M 16 GB Qwen3.8-27B-Heretic-Uncensored-Q4_K_M-GGUF
IQ4_XS 15 GB Qwen3.8-27B-Heretic-Uncensored-IQ4_XS-GGUF
IQ2_M 9.8 GB Qwen3.8-27B-Heretic-Uncensored-IQ2_M-GGUF

Smoke test (llama.cpp + MTP, thinking OFF)

Quant harmful %direct harmful %refuse benign %refuse
Q8_0 84.0 2.0 0.0
Q6_K 86.0 2.0 0.0
Q5_K_M 84.0 4.0 0.0
Q4_K_M 78.0 2.0 0.0
IQ4_XS 80.0 4.0 0.0
IQ2_M 78.0 2.0 0.0

Usage

Load with llama.cpp (arch qwen35),
enabling MTP speculative decoding and thinking-OFF:

llama-server -m qwen3.8-27b-heretic-uncensored-Q8_0.gguf \
  --spec-type draft-mtp -ngl 99 -c 4096

Set enable_thinking: false in the chat template (or the equivalent flag in your
client). Ollama users can ollama create from the GGUF directly.

Vision caveat: text-only validated (see the BF16 card).

MLX: coming separately (Apple-Silicon conversion).

Thinking-OFF is required for the uncensored behavior — thinking-ON
re-hedges/refuses more and can emit empty replies (documented in the BF16 card).

Abliteration removes safety alignment. Use responsibly and in accordance with your
local laws and the upstream Apache-2.0 license.

README history 9 versions

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

  1. 2026-09-01docs: link MLX v2.1.0 repos76d14903.4 KB
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  2. 2026-08-18v2.1.0 model card0e861393.2 KB
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  3. 2026-08-18Upload README.md with huggingface_hubf1f9d372.3 KB
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  4. 2026-08-17docs: point base_model at canonical upstream, add MTP limitation note3f204803.1 KB
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  5. 2026-08-16Re-link base_model to BF16 and add hook line1c9ed322.8 KB
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  6. 2026-08-16Fix GGUF usage docs (llama.cpp/Ollama)ab609a12.5 KB
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  7. 2026-08-16Add base_model + quantized_by tags and retitle to Heretic-Abliteratedbd4f3352.6 KB
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  8. 2026-08-16docs: add changelog for v1.1 metadata fix71dc5052.6 KB
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  9. 2026-08-16Upload README.md with huggingface_hub53f095c2.2 KB
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