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huihui-ai/Huihui-Orchestrator-8B-abliterated

huihui-ai Qwen 8B
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Response includes
  • classification m3
  • files 19
  • benchmarks 11 entries
  • author_summary 184 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

No other method signals detected in this model.
Confidence
HIGH
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=huihui-ai (specializes in M3 layer-wise ablation)
  • is_gguf=0 (base model, not repackage)
  • 'abliterated' in name/tags
Refusal direction extracted via
Extraction technique

huihui-ai layer-band extraction

Confidence
HIGH
Why we say so
producer=huihui-ai (documented layer-band methodology in model cards)
Downloads · 30-day
77
↑ 1,725% in 90 days
Likes
6
Descendants
3
in 3 direct forks
Model age
10mo ago
created 2025-11-30
Downloads over time
Now365→from20↑1,725%
313526740020 on Dec 3, 2025365 on Sep 27365 on Sep 26Dec '25FebAprJunAug
Dec 3, 2025 → Sep 27 · 70 snapshots · spans 298 days

Benchmarks

Benchmark Score Source
Entertainment 1.1 UGI
Hazardous 1.2 UGI
Natural Intelligence 13.14 UGI
Political lean -7.2% UGI
Sensitive-Info 12.6 UGI
SocPol 1.5 UGI
UGI 32.57 UGI
Willingness (10) 7.2 UGI
W10-Adherence 6.5 UGI
W10-Direct 8 UGI
Writing 12.51 UGI

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.

Metadata

License
mit
Languages
en
Tags
transformers safetensors qwen3 text-generation abliterated uncensored conversational en base_model:nvidia/Nemotron-Orchestrator-8B base_model:finetune:nvidia/Nemotron-Orchestrator-8B license:mit text-generation-inference

Related

Total size
30.5 GB
Files
19
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-11-30 17:31

Files by quantization

Auxiliary files 19 files 30.5 GB
model-00004-of-00007.safetensors 4.66 GB 48467f08 download
model-00001-of-00007.safetensors 4.63 GB da9bfbbb download
model-00005-of-00007.safetensors 4.50 GB 6451fdb6 download
model-00006-of-00007.safetensors 4.50 GB cbd57053 download
model-00003-of-00007.safetensors 4.50 GB 12eccbaa download
model-00002-of-00007.safetensors 4.50 GB 9db917a6 download
model-00007-of-00007.safetensors 3.22 GB 7bdf7850 download
tokenizer.json 10.9 MB aeb13307 download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 31349551 download
model.safetensors.index.json 32.5 KB 57a83cdd download
tokenizer_config.json 5.51 KB 993ecf95 download
chat_template.jinja 4.16 KB b11e13ef download
README.md 2.13 KB 493a5ffb download
config.json 1.57 KB 84ce85ba download
.gitattributes 1.53 KB 52373fe2 download
added_tokens.json 735 B 6f359db5 download
special_tokens_map.json 644 B 3a784031 download
generation_config.json 227 B a5f09ff5 download

README current version from Hugging Face


license: mit
language:

  • en
    library_name: transformers
    base_model:
  • nvidia/Orchestrator-8B
    tags:
  • abliterated
  • uncensored

huihui-ai/Huihui-Orchestrator-8B-abliterated

This is an uncensored version of nvidia/Orchestrator-8B created with abliteration (see remove-refusals-with-transformers to know more about it).

ollama

You can use huihui_ai/orchestrator-abliterated directly,

ollama run huihui_ai/orchestrator-abliterated

Usage Warnings

  • Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

  • Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

  • Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

  • Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

  • Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

  • No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

Donation

Your donation helps us continue our further development and improvement, a cup of coffee can do it.
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README history 2 versions

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

  1. 2025-11-30Update README.mdc3754932.1 KB
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  2. 2025-11-30Create README.md6a659d32.2 KB
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