metadata
license: apache-2.0
base_model:
- soob3123/amoral-gemma3-27B-v2
base_model_relation: quantized
pipeline_tag: image-text-to-text
tags:
- chat
- mlx
- gemma3
- analytical-tasks
- bias-neutralization
- uncensored
- apple
- 8bit
language:
- en
- fr
- es
- de
- it
- hi
- ru
library_name: mlx
Amoral Gemma-3-27B v2 8-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-8bit --max-tokens 512 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>