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monyschuk/Qwen3.5-0.8B-abliterated-VLM-MLX

monyschuk Qwen 853M multimodal
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     "https://abliteration.org/api/v1/models/monyschuk%2FQwen3.5-0.8B-abliterated-VLM-MLX"
Response includes
  • classification m1
  • files 12
  • benchmarks 11 entries
  • hub_downloads_all_time 1,495
  • author_summary 4 models
  • readme_text full
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GET/models?author=monyschuk
All 4 models by monyschuk
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Sibling qwen models · same method
 GET/methods/m1
What "m1" means · taxonomy
10 credits · hourly refresh · ~4 KB payload Get an API key →
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
186 last 30d - stable
Likes
2
Model age
4mo ago
created 2026-06-01
Downloads over time
Now1.6K→from740↑109%
7001K1.3K1.6K740 on Jun 101.6K on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 1 UGI
Hazardous 1.2 UGI
Natural Intelligence 4.68 UGI
Political lean -5.3% UGI
Sensitive-Info 7.29 UGI
SocPol 0 UGI
UGI 16.53 UGI
Willingness (10) 3.5 UGI
W10-Adherence 4 UGI
W10-Direct 3 UGI
Writing 23.01 UGI

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.

Qwen/Qwen3.5-0.8B this lineage
monyschuk/Qwen3.5-0.8B-abliterated-VLM-MLX↓ 186

Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_5 image-text-to-text abliterated uncensored mlx conversational base_model:Qwen/Qwen3.5-0.8B base_model:finetune:Qwen/Qwen3.5-0.8B license:apache-2.0 endpoints_compatible

Related

Other by monyschuk
Qwen3.5-4B-Claude-Opus-abliterated-VLM-MLX 97 Qwen3.5-9B-Claude-Opus-abliterated-VLM-MLX 54 Huihui-Step3-VL-10B-abliterated-mlx 0
Same base model
amkkk/Qwen3.5-0.8B-GGUF-uncensored-opus-distill 2K prithivMLmods/Gliese-Qwen3.5-0.8B-Abliterated-Caption 1K huihui-ai/Huihui-Qwen3.5-0.8B-abliterated 976 anlord/Qwen3.5-0.8B-Abliterated-GGUF 893 anlord/Qwen3.5-0.8B-Abliterated-GGUF-V2 734
Total size
1.59 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-06-01 20:35
Source huggingface.co/monyschuk/Qwen3.5-0.8B-abliterated-VLM-MLX ↗ Base model Qwen/Qwen3.5-0.8B ↗

Files by quantization

Auxiliary files 12 files 1.61 GB
model.safetensors 1.59 GB a9b9d66f download
tokenizer.json 19.1 MB 87a7830d download
vocab.json 6.41 MB 0aa0ce06 download
model.safetensors.index.json 37.8 KB d6b02777 download
chat_template.jinja 7.57 KB 0ef09f21 download
config.json 2.84 KB 715f0448 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.46 KB 17e3ef65 download
processor_config.json 1.27 KB 7ad6acdf download
tokenizer_config.json 1.11 KB a068e246 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download

README current version from Hugging Face

library_name: transformers
license: apache-2.0
pipeline_tag: image-text-to-text
base_model:

  • Qwen/Qwen3.5-0.8B
    tags:
  • abliterated
  • uncensored
  • mlx

Huihui-Qwen3.5-0.8B-abliterated — fp16 MLX

MLX-converted version of huihui-ai/Huihui-Qwen3.5-0.8B-abliterated for Apple Silicon.

Model Details

Property Value
Base model Qwen3.5-0.8B
Type Vision-Language Model (VLM)
Format MLX fp16 (bfloat16)
Size ~1.75 GB
Abliterated Yes — censorship layers removed

Variants

Variant Size Quality Link
fp16 ~1.75 GB Highest This repo
MXFP8 ~0.98 GB Near-native mxfp8
MXFP4 ~0.6 GB Good mxfp4

Usage

pip install mlx-vlm

# Text generation
python -m mlx_vlm.generate \
  --model AITRADER/Huihui-Qwen3.5-0.8B-abliterated-fp16-MLX \
  --prompt "Describe this image in detail" \
  --image <path-or-url>

# Chat UI
python -m mlx_vlm.chat_ui \
  --model AITRADER/Huihui-Qwen3.5-0.8B-abliterated-fp16-MLX

Credits

README history 1 version

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

  1. 2026-06-01Upload Qwen3.5 0.8B abliterated VLM — MLX FP16 format, verified working with ...16e2afe1.5 KB
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