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MLXBits/huihui-qwen3-vl-30b-abliterated-4bit
huihui-qwen3-vl-30b-abliterated-4bit is a image-text-to-text model from MLXBits. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
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.
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From the Hugging Face model README
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
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.
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