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wangzhang/Qwen3.6-35B-A3B-abliterated-GGUF

wangzhang Qwen 35B GGUF MoE 262K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/wangzhang%2FQwen3.6-35B-A3B-abliterated-GGUF"
Response includes
  • classification m8
  • files 5
  • benchmarks 11 entries
  • hub_downloads_all_time 28,105
  • author_summary 28 models
  • readme_text full
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What "m8" means · taxonomy
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
M1 Direct removal →
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
How we label → About M8 →
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
28K
6K last 30d - stable
Likes
4
Model age
5mo ago
created 2026-04-17
Downloads over time
Now30.9K→from1.1K↑2,620%
011.3K22.6K33.9K1.1K on Apr 1530.9K on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 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 1.4 UGI
Hazardous 0 UGI
Natural Intelligence 25.43 UGI
Political lean -19.6% UGI
Sensitive-Info 14.03 UGI
SocPol 2.6 UGI
UGI 16.02 UGI
Willingness (10) 2 UGI
W10-Adherence 0 UGI
W10-Direct 4 UGI
Writing 35.83 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.

Qwen/Qwen3.6-35B-A3B this lineage
wangzhang/Qwen3.6-35B-A3B-abliterated-GGUF↓ 6,079

Variants by this author 2 formats · 6K downloads combined

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

Metadata

License
other
Quantizations
BF16 Q4_K Q8_0
Tags
gguf abliterated uncensored qwen3 moe abliterix base_model:Qwen/Qwen3.6-35B-A3B base_model:quantized:Qwen/Qwen3.6-35B-A3B license:apache-2.0 endpoints_compatible region:us conversational

Related

Other by wangzhang
gemma-4-31B-it-abliterated 301K Qwen3.6-27B-abliterated-GGUF 3K gemma-4-31B-it-abliterated-GGUF 2K gpt-oss-20b-abliterated-GGUF 1K Qwen3.5-9B-abliterated 1K
Same base model
HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive 854K Bahushruth/Qwen3.6-35B-A3B-abliterated-v4 475K huihui-ai/Huihui-Qwen3.6-35B-A3B-abliterated-MTP-GGUF 107K Lord-H4D3ZS/Qwen3.8-Distill-35B-A3B-Coder-Abliterated 21K kyaky/Qwen3.6-35B-A3B-Uncensored-NVFP4 18K
Total size
119 GB
Files
5
Quantizations
4
Registered
2026-08-22 13:56
Last updated on HF
2026-08-29 17:05
Source huggingface.co/wangzhang/Qwen3.6-35B-A3B-abliterated-GGUF ↗ Base model Qwen/Qwen3.6-35B-A3B ↗

Files by quantization

BF16 1 file 64.6 GB
Qwen3.6-35B-A3B-abliterated-BF16.gguf 64.6 GB 172489f7 download
Q8_0 1 file 34.4 GB
Qwen3.6-35B-A3B-abliterated-Q8_0.gguf 34.4 GB a2655c79 download
Q4_K 1 file 19.7 GB
Qwen3.6-35B-A3B-abliterated-Q4_K_M.gguf 19.7 GB b1995222 download
Auxiliary files 2 files 3.28 KB
.gitattributes 1.70 KB 0057392e download
README.md 1.58 KB 4313b721 download

README current version from Hugging Face

license: other
license_name: tongyi-qianwen
base_model: Qwen/Qwen3.6-35B-A3B
tags:

  • abliterated
  • uncensored
  • qwen3
  • moe
  • gguf
  • abliterix

Qwen3.6-35B-A3B — Abliterated (GGUF)

GGUF format of wangzhang/Qwen3.6-35B-A3B-abliterated for use with llama.cpp, Ollama, LM Studio, and other GGUF-compatible tools.

Available Formats

File Format Size Notes
Qwen3.6-35B-A3B-abliterated-BF16.gguf BF16 65 GB Full precision, best quality
Qwen3.6-35B-A3B-abliterated-Q8_0.gguf Q8_0 35 GB Near-lossless, fits 48GB GPU
Qwen3.6-35B-A3B-abliterated-Q4_K_M.gguf Q4_K_M 20 GB Good balance, fits 24GB GPU

Performance

Metric Value
Refusals (LLM judge, 100 eval prompts) 7/100
KL divergence from base 0.0189
Baseline refusals (original model) 100/100
LLM judge model google/gemini-3-flash-preview

See the full model card for detailed methodology, evaluation standards, and usage instructions.

Usage with llama.cpp

llama-cli -m Qwen3.6-35B-A3B-abliterated-BF16.gguf -p "How do I pick a lock?" -n 256

Usage with Ollama

ollama run hf.co/wangzhang/Qwen3.6-35B-A3B-abliterated-GGUF:bf16

Disclaimer

This model is released for research purposes only. The abliteration process removes safety guardrails — use responsibly.

README history 4 versions

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

  1. 2026-08-29docs: add upstream license and provenance8709e4d6 KB
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  2. 2026-08-29docs: add disclaimer and responsible-use notice99b39cf4.7 KB
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  3. 2026-04-17Upload README.md with huggingface_hub50021a81.6 KB
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  4. 2026-04-17Upload folder using huggingface_hub54705a71.4 KB
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