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MLXBits/huihui-qwen3-vl-30b-abliterated-4bit

MLXBits Qwen 31B MoE multimodal second-order
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Response includes
  • classification m1
  • files 18
  • hub_downloads_all_time 624
  • author_summary 3 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
624
99 last 30d - stable
Likes
0
Model age
4mo ago
created 2026-05-28
Downloads over time
Now656→from120↑447%
93299504710120 on Jun 10656 on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Genealogy 0 direct forks

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This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_vl_moe image-text-to-text abliterated uncensored 4bit mlx quantization conversational base_model:huihui-ai/Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated

Related

Total size
17.0 GB
Files
18
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-05-28 21:26

Files by quantization

Auxiliary files 18 files 17.0 GB
model-00002-of-00004.safetensors 5.00 GB 8de3523b download
model-00001-of-00004.safetensors 4.98 GB 54d8e2da download
model-00003-of-00004.safetensors 4.91 GB ec84644e download
model-00004-of-00004.safetensors 2.11 GB 1c76d86b download
tokenizer.json 10.9 MB be756060 download
vocab.json 2.65 MB 4783fe10 download
model.safetensors.index.json 166 KB ad09d7fc download
chat_template.jinja 5.17 KB 12438680 download
README.md 2.63 KB e3287bd4 download
config.json 2.19 KB c78becd2 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.16 KB 33818c7f download
tokenizer_config.json 734 B 42bc491e download
added_tokens.json 707 B b54f9135 download
special_tokens_map.json 613 B ac23c0aa download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 270 B 398d2191 download

README current version from Hugging Face


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

  • huihui-ai/Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated
    base_model_relation: quantized
    tags:
  • abliterated
  • uncensored
  • 4bit
  • mlx
  • quantization

MLXBits/huihui-qwen3-vl-30b-abliterated-4bit

This is MLX conversion and quantization of huihui-ai/Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated for us on MacOS M-series SOC's using mlx-vlm.

The base model is an uncensored version of Qwen/Qwen3-VL-30B-A3B-Instruct created with abliteration (see remove-refusals-with-transformers to know more about it).

It has been tested with LM Studio, confirming both text input and image input work as expected.

Cnversion syntax:

mlx-forge> uv run mlx_vlm.convert \
  --hf-path huihui-ai/Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated \
  --mlx-path ~/models/huihui-qwen3-vl-30b-abliterated-4bit \
  --quantize --q-bits 4

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.

Donation

Your donation helps us continue our further development and improvement, a cup of coffee can do it.
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README history 2 versions

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

  1. 2026-05-28Update README.md6ec39352.6 KB
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  2. 2026-05-28Upload folder using huggingface_huba26b1da185 B
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