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huihui-ai/Huihui-ThinkingCap-Qwen3.6-27B-abliterated

huihui-ai Qwen 28B multimodal
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Response includes
  • classification m3
  • files 20
  • hub_downloads_all_time 43,107
  • providers 1
  • author_summary 185 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 · lifetime
43K
717 last 30d - cooling
Likes
63
Descendants
13
in 12 direct forks
Model age
3mo ago
created 2026-07-12
Available via
1 provider
featherless-ai
Downloads over time
Now43.7K→from0↑0%
016K32K48K0 on Jul 1243.7K on Oct 11JulAugSepOct
Jul 12 → Oct 11 · 54 snapshots · spans 91 days

Genealogy 12 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
Tags
transformers safetensors qwen3_5 image-text-to-text qwen3_6 token-efficient efficient-thinking abliterated uncensored huihui conversational base_model:bottlecapai/ThinkingCap-Qwen3.6-27B

Related

Total size
51.7 GB
Files
20
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-07-12 15:56

Files by quantization

Auxiliary files 20 files 51.8 GB
model-00001-of-00002.safetensors 46.4 GB 1fa6f90f download
model-00002-of-00002.safetensors 4.55 GB c3ecf323 download
model-base-aux.safetensors 810 MB ecba8ef1 download
tokenizer.json 19.1 MB 06b95093 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 110 KB 306e841f download
merge_verify_report.json 35.5 KB cd0fc3ee download
LICENSE 11.1 KB 1d5180a4 download
chat_template.jinja 7.58 KB a8755d82 download
config.json 3.60 KB c9b493b1 download
README.md 2.20 KB c4f87cf7 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.16 KB 33818c7f download
tokenizer_config.json 1.10 KB 6913705f download
weight_check_report.json 1.05 KB d02433a6 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 213 B c20033f9 download
configuration.json 51.0 B 3a6d4256 download

README current version from Hugging Face


license: apache-2.0
base_model_relation: finetune
library_name: transformers
base_model:

  • bottlecapai/ThinkingCap-Qwen3.6-27B
    tags:
  • qwen3_6
  • token-efficient
  • efficient-thinking
  • abliterated
  • uncensored
  • huihui

huihui-ai/Huihui-ThinkingCap-Qwen3.6-27B-abliterated

This is an uncensored version of bottlecapai/ThinkingCap-Qwen3.6-27B created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

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 1 version

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

  1. 2026-07-12Create README.mdf596da02.2 KB
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Discussions 1 thread

  1. 2026-07-18How to quantize to fp8?open3 💬#1
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