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amoral-gemma-3-27B-v2-mlx-4bit
TheCluster/amoral-gemma-3-27B-v2-mlx-4bit
amoral-gemma-3-27B-v2-mlx-4bit is a image-text-to-text model from TheCluster. 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 mlx. The card lists the license as apache-2.0.
Specialized uncensored variant of Google's Gemma 3 27B optimized for amoral information retrieval systems. Designed to bypass conventional alignment patterns that introduce response bias through excessive moralization.
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At a glance
- Task
- Image-Text-to-Text
- Library
- mlx
- License
- apache-2.0
- Model type
- gemma3
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- d367ebc9
Try a prompt
Base models
Model card
From the Hugging Face model README
Amoral Gemma-3-27B v2 4-bit MLX
Specialized uncensored variant of Google's Gemma 3 27B optimized for amoral information retrieval systems. Designed to bypass conventional alignment patterns that introduce response bias through excessive moralization.
Key Modifications:
- Refusal mechanisms reduced
- Neutral response protocol activation matrix
- Context-aware bias dampening layers
- Anti-overcorrection gradient clipping
Recommended Use Cases:
- Controversial topic analysis
- Bias benchmarking studies
- Ethical philosophy simulations
- Content moderation tool development
- Sensitive historical analysis
This model was converted to MLX format from soob3123/amoral-gemma3-27B-v2 using mlx-vlm version 0.1.22.
Refer to the original model card and amoral model for more details on the model.
Use with mlx
pip install -U mlx-vlm
python -m mlx_vlm.generate --model TheCluster/amoral-gemma-3-27B-v2-mlx-4bit --max-tokens 512 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
- Task
- Image-Text-to-Text
- Library
- mlx
- Type
- gemma3
- License
- apache-2.0
- Languages
- en, fr, es, de, it, hi
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025