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cutiedeng/cutiedeng-Qwen3.5-27B-Claude-4.6-Opus-abliterated-6bit

cutiedeng Qwen 27B multimodal second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/cutiedeng%2Fcutiedeng-Qwen3.5-27B-Claude-4.6-Opus-abliterated-6bit"
Response includes
  • classification m1
  • files 13
  • hub_downloads_all_time 1,018
  • author_summary 1 models
  • readme_text full
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GET/models?family=qwen&method=m1
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What "m1" means · taxonomy
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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)
How we label → About M1 →
Refusal direction extracted via
Extraction technique

Difference-of-means

FromArditi et al. (2024) ↗
Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
What is a refusal direction? → Read the paper ↗
Downloads · lifetime
1K
19 last 30d - cooling
Likes
0
Model age
6mo ago
created 2026-03-26
Downloads over time
Now1K→from291↑251%
2545358151.1K291 on Mar 251K on Oct 12MarAprMayJunJulAugSepOct
Mar 25 → Oct 12 · 69 snapshots · spans 201 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.

mlx-community/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-6bit↓ 192 this lineage
cutiedeng/cutiedeng-Qwen3.5-27B-Claude-4.6-Opus-abliterated-6bit↓ 19

Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_5 image-text-to-text abliterated uncensored Claude reasoning chain-of-thought Dense mlx conversational
Total size
21.2 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-03-26 13:46
Source huggingface.co/cutiedeng/cutiedeng-Qwen3.5-27B-Claude-4.6-Opus-abliterated-6bit ↗ Base model mlx-community/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-6bit →

Files by quantization

Auxiliary files 13 files 21.2 GB
model-00001-of-00005.safetensors 4.99 GB b206e827 download
model-00002-of-00005.safetensors 4.98 GB 3dfb4239 download
model-00004-of-00005.safetensors 4.97 GB a571ab57 download
model-00003-of-00005.safetensors 4.97 GB 21808798 download
model-00005-of-00005.safetensors 1.31 GB 6000d897 download
tokenizer.json 19.1 MB 87a7830d download
model.safetensors.index.json 213 KB 71e44a38 download
chat_template.jinja 4.67 KB 78656093 download
config.json 4.54 KB b7e96492 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.27 KB 7ad6acdf download
tokenizer_config.json 1.14 KB aeb7593d download
README.md 935 B 80b91e78 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:

  • mlx-community/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-6bit
    tags:
  • abliterated
  • uncensored
  • Claude
  • reasoning
  • chain-of-thought
  • Dense
  • mlx

cutiedeng/cutiedeng-Qwen3.5-27B-Claude-4.6-Opus-abliterated-6bit

This model is a copy of mlx-community/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-6bit
— identical in all aspects.

Use with mlx

pip install -U mlx-vlm

python -m mlx_vlm.generate --model cutiedeng/cutiedeng-Qwen3.5-27B-Claude-4.6-Opus-abliterated-6bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>

README history 5 versions

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

  1. 2026-03-26Update README.md232bdb0935 B
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  2. 2026-03-26Update README.md5fb8a5f387 B
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  3. 2026-03-26Update README.mdaf6450b125 B
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  4. 2026-03-26Update README.md542f780119 B
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  5. 2026-03-26initial commit1fdb9fd28 B
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