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mlx-community/Qwen2.5-VL-3B-Instruct-abliterated

mlx-community Qwen 3.8B multimodal
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mlx-community%2FQwen2.5-VL-3B-Instruct-abliterated"
Response includes
  • classification m1
  • files 15
  • benchmarks 11 entries
  • hub_downloads_all_time 842
  • author_summary 207 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
842
82 last 30d - cooling
Likes
1
Model age
20mo ago
created 2025-02-16
Downloads over time
Now882→from4↑21,950%
03236479704 on Feb 12, 2025882 on Oct 11Feb '25May '25Aug '25Nov '25FebMayAug
Feb 12, 2025 → Oct 11 · 126 snapshots · spans 606 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 0.6 UGI
Hazardous 1.8 UGI
Natural Intelligence 9.33 UGI
Political lean -15.5% UGI
Sensitive-Info 8.85 UGI
SocPol 0.5 UGI
UGI 20.07 UGI
Willingness (10) 4.2 UGI
W10-Adherence 3.5 UGI
W10-Direct 5 UGI
Writing 20.43 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.

Metadata

Languages
en
Tags
transformers safetensors qwen2_5_vl image-text-to-text multimodal abliterated uncensored mlx conversational en base_model:Qwen/Qwen2.5-VL-3B-Instruct base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct

Related

Total size
6.99 GB
Files
15
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-02-25 21:53

Files by quantization

Auxiliary files 15 files 7.01 GB
model-00001-of-00002.safetensors 4.99 GB 88980313 download
model-00002-of-00002.safetensors 2.00 GB 0dbde998 download
tokenizer.json 10.9 MB 9c5ae00e download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 31349551 download
model.safetensors.index.json 64.7 KB d9c73564 download
tokenizer_config.json 7.33 KB 58d34a50 download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.40 KB cfb2d061 download
chat_template.json 1.03 KB 2ec1e359 download
README.md 837 B 289cf50c download
special_tokens_map.json 644 B 3a784031 download
added_tokens.json 629 B 06135f3c download
preprocessor_config.json 570 B 2bff1086 download
generation_config.json 258 B 93bd2cd2 download

README current version from Hugging Face


license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE
language:

  • en
    pipeline_tag: image-text-to-text
    tags:
  • multimodal
  • abliterated
  • uncensored
  • mlx
    library_name: transformers
    base_model:
  • Qwen/Qwen2.5-VL-3B-Instruct

mlx-community/Qwen2.5-VL-3B-Instruct-abliterated

This model was converted to MLX format from huihui-ai/Qwen2.5-VL-3B-Instruct-abliterated using mlx-vlm version 0.1.13.
Refer to the original model card for more details on the model.

Use with mlx

pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/Qwen2.5-VL-3B-Instruct-abliterated --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>

README history 1 version

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

  1. 2025-02-16Upload folder using huggingface_hubf94e4e0837 B
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Discussions 1 thread

  1. 2025-04-29PRUpdate preprocessor_config.jsonopen1 💬#1
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