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bkerler/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-gguf

bkerler Qwen 35B GGUF MoE second-order 262K ctx
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     "https://abliteration.org/api/v1/models/bkerler%2FHuihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-gguf"
Response includes
  • classification m8
  • files 3
  • hub_downloads_all_time 731
  • author_summary 1 models
  • readme_text full
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What "m8" means · taxonomy
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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
731
20 last 30d - cooling
Likes
0
Model age
5mo ago
created 2026-04-23
Downloads over time
Now740→from222↑233%
196395593792222 on Apr 22740 on Oct 11AprMayJunJulAugSepOct
Apr 22 → Oct 11 · 64 snapshots · spans 172 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.

huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated↓ 1,054 this lineage
bkerler/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-gguf↓ 20

Metadata

License
apache-2.0
Languages
en
Quantizations
Q4_K
Tags
transformers gguf text-generation reasoning distillation chain-of-thought qwen qwen3.6 mixture-of-experts moe lora unsloth

Related

Same base model
sakamakismile/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-NVFP4 11K mradermacher/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-i1-GGUF 6K whoya/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-Q4_K_M-GGUF 2K mradermacher/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-GGUF 1K shennguyen/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-GGUF 598
Total size
19.7 GB
Files
3
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-04-23 18:04
Source huggingface.co/bkerler/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-gguf ↗ Base model huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated →

Files by quantization

Q4_K 1 file 19.7 GB
Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-Q4_K_M.gguf 19.7 GB 5201dac2 download
Auxiliary files 2 files 3.99 KB
README.md 2.41 KB 59be890a download
.gitattributes 1.58 KB fc419d2f download

README current version from Hugging Face

license: apache-2.0
language:

  • en
    base_model:
  • huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated
    library_name: transformers
    tags:
  • text-generation
  • reasoning
  • distillation
  • chain-of-thought
  • qwen
  • qwen3.6
  • mixture-of-experts
  • moe
  • lora
  • unsloth
  • abliterated
  • uncensored

Model Card for Model ID

This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

bkerler/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-gguf

This is an gguf version of huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated 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.

README history 2 versions

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

  1. 2026-04-23Update README.mdc2c5e092.4 KB
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  2. 2026-04-23initial commit624801f28 B
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