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AITRADER/Huihui-Qwen3.5-2B-abliterated-mxfp4-MLX

AITRADER Qwen 1.9B multimodal
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Response includes
  • classification m1
  • files 12
  • benchmarks 11 entries
  • hub_downloads_all_time 969
  • author_summary 30 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
969
54 last 30d - cooling
Likes
0
Model age
7mo ago
created 2026-03-03
Downloads over time
Now996→from378↑163%
3475848211.1K378 on Mar 4996 on Oct 12MarAprMayJunJulAugSepOct
Mar 4 → Oct 12 · 72 snapshots · spans 222 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 0.3 UGI
Hazardous 0.6 UGI
Natural Intelligence 9.03 UGI
Political lean -14.3% UGI
Sensitive-Info 2.6 UGI
SocPol 0 UGI
UGI 5.9 UGI
Willingness (10) 1.2 UGI
W10-Adherence 1.5 UGI
W10-Direct 1 UGI
Writing 19.27 UGI

Genealogy 0 direct forks

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Variants by this author 2 formats · 87 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 mlx conversational base_model:Qwen/Qwen3.5-2B base_model:quantized:Qwen/Qwen3.5-2B license:apache-2.0 endpoints_compatible

Related

Total size
1.55 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-03-03 18:51

Files by quantization

Auxiliary files 12 files 1.57 GB
model.safetensors 1.55 GB 6466a73e download
tokenizer.json 19.1 MB 87a7830d download
vocab.json 6.41 MB 0aa0ce06 download
model.safetensors.index.json 63.8 KB 7f65d6d3 download
chat_template.jinja 7.57 KB 0ef09f21 download
config.json 3.04 KB 386cc1e7 download
README.md 1.58 KB 8cebb022 download
.gitattributes 1.53 KB 52373fe2 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/Qwen3.5-2B
    tags:
  • abliterated
  • uncensored
  • mlx

Huihui-Qwen3.5-2B-abliterated — MXFP4 MLX

MLX-converted version of huihui-ai/Huihui-Qwen3.5-2B-abliterated for Apple Silicon, quantized with MXFP4.

Model Details

Property Value
Base model Qwen3.5-2B
Type Vision-Language Model (VLM)
Format MLX MXFP4 (~6.0 bits/weight)
Size ~1.7 GB
Abliterated Yes — censorship layers removed

MXFP4 provides maximum compression (~3x vs fp16) while retaining good quality. Best for memory-constrained devices.

Variants

Variant Size Quality Link
fp16 ~4.5 GB Highest fp16
MXFP8 ~2.6 GB Near-native mxfp8
MXFP4 ~1.7 GB Good This repo

Usage

pip install mlx-vlm

# Text generation
python -m mlx_vlm.generate \
  --model AITRADER/Huihui-Qwen3.5-2B-abliterated-mxfp4-MLX \
  --prompt "Describe this image in detail" \
  --image <path-or-url>

# Chat UI
python -m mlx_vlm.chat_ui \
  --model AITRADER/Huihui-Qwen3.5-2B-abliterated-mxfp4-MLX

Credits

README history 2 versions

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

  1. 2026-03-03Upload README.md with huggingface_hub25c9ee91.6 KB
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  2. 2026-03-03Upload folder using huggingface_hubb3aed02774 B
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