← back to catalog · registered 2026-08-22 13:56

lhca521/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated

lhca521 Qwen 28B multimodal
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Response includes
  • classification m1
  • files 19
  • hub_downloads_all_time 39
  • author_summary 23 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
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=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
39
13 last 30d - stable
Likes
0
Model age
6mo ago
created 2026-04-09
Downloads over time
Now47→from17↑176%
1627395017 on Apr 1547 on Oct 1147 on Oct 5AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 days

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.

Variants by this author 2 formats · 717 downloads combined

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

Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_5 image-text-to-text abliterated uncensored Claude reasoning chain-of-thought Dense conversational base_model:Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled

Related

Total size
51.7 GB
Files
19
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-09 11:34

Files by quantization

Auxiliary files 19 files 51.8 GB
model.safetensors-00008-of-00011.safetensors 5.00 GB 6b84b9c4 download
model.safetensors-00010-of-00011.safetensors 4.98 GB 00078907 download
model.safetensors-00009-of-00011.safetensors 4.98 GB 12a1eab3 download
model.safetensors-00003-of-00011.safetensors 4.98 GB f2cb0b55 download
model.safetensors-00004-of-00011.safetensors 4.98 GB 8a734ce0 download
model.safetensors-00005-of-00011.safetensors 4.98 GB 7e101ebe download
model.safetensors-00006-of-00011.safetensors 4.98 GB e76e6bb8 download
model.safetensors-00007-of-00011.safetensors 4.98 GB 89ea3120 download
model.safetensors-00002-of-00011.safetensors 4.98 GB f9ad139c download
model.safetensors-00001-of-00011.safetensors 4.90 GB 9cb00000 download
model.safetensors-00011-of-00011.safetensors 2.00 GB 9540c2cc download
tokenizer.json 19.1 MB 87a7830d download
model.safetensors.index.json 124 KB a7726bc7 download
tokenizer_config.json 5.27 KB ab2bbbcf download
config.json 4.37 KB e08e96f6 download
chat_template.jinja 3.95 KB 609532bf download
README.md 2.66 KB eb5cda20 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.27 KB 7ad6acdf download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled/blob/main/LICENSE
pipeline_tag: image-text-to-text
base_model:

  • Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
    tags:
  • abliterated
  • uncensored
  • Claude
  • reasoning
  • chain-of-thought
  • Dense

huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated

This is an uncensored version of Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled 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.

ollama

Please use the latest version of ollama v0.17.7

You can use huihui_ai/qwen3.5-abliterated:27b-Claude directly,

ollama run huihui_ai/qwen3.5-abliterated:27b-Claude

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. 2026-04-09Duplicate from huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated86e77db2.7 KB
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