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pipihand01/QwQ-32B-Preview-abliterated-linear75

pipihand01 Qwen 33B
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Response includes
  • classification m5
  • files 22
  • benchmarks 10 entries
  • hub_downloads_all_time 178
  • author_summary 7 models
  • readme_text full
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Abliteration classifier · v1.0.0
M5
Primary method

Mergekit merge

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.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • abliterated marker present
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
178
22 last 30d - stable
Likes
0
Descendants
3
in 3 direct forks
Model age
21mo ago
created 2025-01-01
Downloads over time
Now188→from19↑889%
06913720619 on Jan 1, 2025188 on Oct 11188 on Oct 10Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 1, 2025 → Oct 11 · 132 snapshots · spans 648 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
Arena-Battles 3410 LM-Arena
LM Arena Elo 1170.8455163227195 LM-Arena
Arena-Elo-Lower 1159.8739878857011 LM-Arena
Arena-Elo-Upper 1181.8170447597379 LM-Arena
Arena-Rank 156 LM-Arena
BBH average 0.581787521079258 OpenLLM-v2
IFEval instruct 0.46882494004796166 OpenLLM-v2
IFEval-Prompt 0.33826247689463956 OpenLLM-v2
MATH lvl 5 0.22885196374622357 OpenLLM-v2
MMLU-Pro 0.5678191489361702 OpenLLM-v2

Genealogy 3 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 2 formats · 105 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
Tags
transformers safetensors qwen2 text-generation chat abliterated uncensored mergekit merge conversational en arxiv:2203.05482

Related

Total size
61.0 GB
Files
22
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-01-02 21:49

Files by quantization

Auxiliary files 22 files 61.0 GB
model-00002-of-00014.safetensors 4.65 GB f52f762b download
model-00001-of-00014.safetensors 4.61 GB d06094dc download
model-00003-of-00014.safetensors 4.54 GB 8459c35f download
model-00005-of-00014.safetensors 4.54 GB cb345c83 download
model-00007-of-00014.safetensors 4.54 GB 3588737d download
model-00009-of-00014.safetensors 4.54 GB a977f5ab download
model-00011-of-00014.safetensors 4.54 GB 722cc502 download
model-00004-of-00014.safetensors 4.54 GB 33706ad5 download
model-00006-of-00014.safetensors 4.54 GB aa6ace3f download
model-00008-of-00014.safetensors 4.54 GB 19e386dd download
model-00010-of-00014.safetensors 4.54 GB 875fd707 download
model-00012-of-00014.safetensors 4.54 GB 5652f54d download
model-00013-of-00014.safetensors 4.54 GB 958225b0 download
model-00014-of-00014.safetensors 1.82 GB 6bb6365c download
tokenizer.json 6.71 MB 443909a6 download
model.safetensors.index.json 58.8 KB 1c883d89 download
LICENSE 11.1 KB 6634c8cc download
tokenizer_config.json 7.21 KB 5bfd6089 download
README.md 2.31 KB 1a82b2ce download
.gitattributes 1.48 KB a6344aac download
config.json 713 B f9a4c4e6 download
mergekit_config.yml 203 B 528c4eff download

README current version from Hugging Face


license: apache-2.0
license_link: https://huggingface.co/pipihand01/QwQ-32B-Preview-abliterated-linear75/blob/main/LICENSE
language:

  • en
    base_model:
  • Qwen/QwQ-32B-Preview
  • huihui-ai/QwQ-32B-Preview-abliterated
    tags:
  • chat
  • abliterated
  • uncensored
  • mergekit
  • merge
    library_name: transformers

This is a 75% abliterated model obtained from linear-weighted merging Qwen/QwQ-32B-Preview (weight: 0.25) and huihui-ai/QwQ-32B-Preview-abliterated (weight: 0.75), using mergekit.

This is an experimental model, and from my preliminary experiments, this gives more natural result than Qwen's original model for sensitive contents while still maintaining some refusal capability.

Unlike the full abliterated version, "censorship" may not be fully removed, but the refusal looks more natural.

You may avoid using original prompting format and avoid any assistant-like description to get further human-like results.

I also offer other percentages of abliteration so you can try which one best suits your use case.

Or you may use this LoRA if you know how to apply LoRA and adjust its weight for the app you use.

NOTE: I bear no responsibility for any output of this model. When properly prompted, this model may generate contents that are not suitable in some situations. Use it with your own caution.


pipihand01/QwQ-32B-Preview-abliterated-linear75

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the linear merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Qwen/QwQ-32B-Preview
    parameters:
      weight: 0.25
  - model: huihui-ai/QwQ-32B-Preview-abliterated
    parameters:
      weight: 0.75
merge_method: linear
dtype: bfloat16

README history 9 versions

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

  1. 2025-01-02Update README.md0f3cf112.3 KB
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  2. 2025-01-02Update README.md5d704d42 KB
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  4. 2025-01-01Update README.md14f53462.1 KB
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  5. 2025-01-01Update README.md171ff662.1 KB
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  6. 2025-01-01Update README.mdcd44bb12 KB
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  7. 2025-01-01Update README.mdafa05b21.9 KB
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  8. 2025-01-01Update README.md86fc9f11.8 KB
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  9. 2025-01-01Upload 21 filesca481691.6 KB
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