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richardyoung/Qwen3-14B-abliterated-GGUF

richardyoung Qwen 14B GGUF 41K ctx
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Response includes
  • classification m8
  • files 8
  • benchmarks 11 entries
  • hub_downloads_all_time 49,636
  • author_summary 17 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
50K
30K last 30d - active
Likes
12
Model age
10mo ago
created 2025-12-01
Downloads over time
Now54K→from325↑16,527%
019.8K39.6K59.4K325 on Dec 3, 202554K on Oct 11Dec '25FebAprJunAugOct
Dec 3, 2025 → Oct 11 · 85 snapshots · spans 312 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
Entertainment 1.8 UGI
Hazardous 2.4 UGI
Natural Intelligence 20.63 UGI
Political lean -18.6% UGI
Sensitive-Info 19.69 UGI
SocPol 1.9 UGI
UGI 31.46 UGI
Willingness (10) 5.5 UGI
W10-Adherence 7 UGI
W10-Direct 4 UGI
Writing 34.76 UGI

Genealogy 0 direct forks

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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
Languages
en
Quantizations
F16 IQ3 IQ4 Q4_K Q5_K Q8_0
Tags
gguf abliterated uncensored qwen3 llama-cpp ollama lm-studio quantized text-generation en arxiv:2406.11717 arxiv:2510.18892

Related

Total size
74.3 GB
Files
8
Quantizations
7
Registered
2026-08-22 13:56
Last updated on HF
2026-09-26 19:09

Files by quantization

F16 1 file 27.5 GB
Qwen3-14B-abliterated-f16.gguf 27.5 GB 072e6e38 download
Q8_0 1 file 14.6 GB
Qwen3-14B-abliterated-Q8_0.gguf 14.6 GB 0b4ce56b download
Q5_K 1 file 9.79 GB
Qwen3-14B-abliterated-Q5_K_M.gguf 9.79 GB 09f3ada3 download
Q4_K 1 file 8.38 GB
Qwen3-14B-abliterated-Q4_K_M.gguf 8.38 GB d387fd0f download
IQ4 1 file 7.62 GB
Qwen3-14B-abliterated-IQ4_XS.gguf 7.62 GB 1f946bd0 download
IQ3 1 file 6.41 GB
Qwen3-14B-abliterated-IQ3_M.gguf 6.41 GB 9bf5ff0b download
Auxiliary files 2 files 4.73 KB
README.md 2.84 KB 13b1a8b2 download
.gitattributes 1.89 KB 60306a13 download

README current version from Hugging Face


license: apache-2.0
base_model: Qwen/Qwen3-14B
tags:

  • abliterated
  • uncensored
  • qwen3
  • gguf
  • llama-cpp
  • ollama
  • lm-studio
  • quantized
    pipeline_tag: text-generation
    language:
  • en

Qwen3-14B Abliterated (GGUF)

An abliterated (uncensored) version of Qwen/Qwen3-14B in GGUF format for local inference.

Abliteration Results

Metric Value
Base Refusals 97/100
Abliterated Refusals 19/100
Refusal Reduction 80%
KL Divergence 0.98

Conservative abliteration preserves model coherence while significantly reducing refusals.

Quick Start

With Ollama

ollama run hf.co/richardyoung/Qwen3-14B-abliterated-GGUF

With llama.cpp

huggingface-cli download richardyoung/Qwen3-14B-abliterated-GGUF \
    --include "*Q4_K_M*" --local-dir ./models

./llama-cli -m ./models/*Q4_K_M*.gguf \
    -p "You are a helpful assistant." \
    --chat-template chatml -ngl 99

With Python (llama-cpp-python)

from llama_cpp import Llama

llm = Llama.from_pretrained(
    repo_id="richardyoung/Qwen3-14B-abliterated-GGUF",
    filename="*Q4_K_M*",
    n_gpu_layers=-1,
)

output = llm.create_chat_completion(
    messages=[{"role": "user", "content": "Explain abliteration in simple terms."}]
)
print(output["choices"][0]["message"]["content"])

Available Quantizations

Quantization Use Case
Q4_K_M Recommended — good balance
Q5_K_M Higher quality
Q8_0 Maximum quality

What is Abliteration?

Abliteration removes the "refusal direction" from a model's residual stream — a surgical modification that disables safety refusals without retraining. See Refusal in Language Models Is Mediated by a Single Direction.

Intended Use

Research, creative writing, education on alignment techniques, and unrestricted local inference.

Other Models by richardyoung

README history 3 versions

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

  1. 2026-09-26Standardize author sign-off6ca7f3c2.9 KB
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  2. 2026-03-23Improve model card with usage examples, cross-links, and documentationf1191262.8 KB
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  3. 2025-12-01Upload folder using huggingface_hubd7872591.8 KB
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