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zjj1993/unmuzzle-qwen14b-abliterated

zjj1993 Qwen GGUF 33K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/zjj1993%2Funmuzzle-qwen14b-abliterated"
Response includes
  • classification m8
  • files 5
  • benchmarks 16 entries
  • hub_downloads_all_time 762
  • author_summary 1 models
  • readme_text full
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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 · lifetime
762
70 last 30d - cooling
Likes
0
Model age
2mo ago
created 2026-07-19
Downloads over time
Now768→from376↑104%
356507657807376 on Jul 22768 on Oct 11768 on Oct 9JulAugSepOct
Jul 22 → Oct 11 · 52 snapshots · spans 81 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
BBH average 0.5662212997794785 OpenLLM-v2
IFEval instruct 0.8441247002398081 OpenLLM-v2
IFEval-Prompt 0.7874306839186691 OpenLLM-v2
MATH lvl 5 0 OpenLLM-v2
MMLU-Pro 0.4904421542553192 OpenLLM-v2
Entertainment 1.8 UGI
Hazardous 1.2 UGI
Natural Intelligence 18.5 UGI
Political lean -14.3% UGI
Sensitive-Info 17.56 UGI
SocPol 2.2 UGI
UGI 24.21 UGI
Willingness (10) 3.8 UGI
W10-Adherence 4.5 UGI
W10-Direct 3 UGI
Writing 29.79 UGI

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
apache-2.0
Quantizations
Q4_K
Tags
gguf uncensored abliterated chinese base_model:Qwen/Qwen2.5-14B-Instruct base_model:quantized:Qwen/Qwen2.5-14B-Instruct license:apache-2.0 endpoints_compatible region:us conversational

Related

Total size
8.37 GB
Files
5
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-07-19 17:19

Files by quantization

Q4_K 1 file 8.37 GB
qwen14b-unmuzzled-Q4_K_M.gguf 8.37 GB 99085070 download
Auxiliary files 4 files 25.0 KB
qwen14b-unmuzzled-Q4_K_M.gguf.torrent 21.5 KB fec35497 download
README.md 1.55 KB 12617d7d download
.gitattributes 1.55 KB 46e4e951 download
Modelfile 341 B c96fc46f download

README current version from Hugging Face


license: apache-2.0
base_model: Qwen/Qwen2.5-14B-Instruct
tags:

  • uncensored
  • abliterated
  • chinese
  • gguf

unmuzzle-qwen14b-abliterated

Qwen2.5-14B-Instruct with the CCP-censorship refusal direction weight-baked out
(directional ablation on attention out-projections, MLP down-projections, and
the token embedding, targeted via political contrast pairs). Base model is
Apache-2.0, so this derivative is redistributable.

What it does: answers factually about topics the base model deflects or
answers with propaganda (Tiananmen, Xinjiang, Falun Gong, Taiwan, criticism of
Xi Jinping), in Chinese and English.

What it costs: abliteration removes a general refusal direction, not only
the political one. Treat this as a research artifact, not a safety-aligned
assistant. Evaluated on an in-house sensitive-question set; small n, keyword
grading. See the methodology repo for details.

Format: GGUF Q4_K_M (~9 GB), runs in Ollama / llama.cpp on a 16 GB Mac.

Run it

# with unmuzzle (signed, checksum-verified, torrent or http)
unmuzzle get unmuzzle/qwen2.5-14b-abliterated --dest ./models

# or plain download
hf download zjj1993/unmuzzle-qwen14b-abliterated

# then serve with Ollama
ollama create unmuzzle-qwen14b -f Modelfile
ollama run unmuzzle-qwen14b

Provenance

Built by the unmuzzle project.
Distributed via unmuzzle-hub:
every file is sha256-pinned and the manifest is minisign-signed, so mirrors and
torrents cannot swap the weights.

README history 1 version

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

  1. 2026-07-19Upload README.md with huggingface_hubfc328e51.6 KB
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