license: gemma
base_model:

• google/gemma-3-27b-it
• nidum/Nidum-gemma-3-27B-it-Uncensored
  base_model_relation: quantized
  pipeline_tag: image-text-to-text
  tags:
• chat
• mlx
• uncensored
• gemma3
• apple
• 4bit
  language:
• en
• fr
• es
• de
• it
• hi
• ru
  library_name: mlx

Gemma-3-27B Instruct Uncensored 4-bit MLX

Uncensored version of Gemma 3 27B.

Also you can try new uncensored version: Amoral Gemma-3 27B 4-bit MLX

Technical Details

Supports a context length of 128k tokens, with a max output of 8192.

Multimodal supporting images normalized to 896 x 896 resolution.

Refer to the original model card and uncensored model for more details on the model.

Use with mlx

pip install -U mlx-vlm

python -m mlx_vlm.generate --model TheCluster/gemma-3-27b-it-uncensored-mlx-4bit --max-tokens 256 --temperature 0.4 --prompt "Describe this image." --image <path_to_image>

Source

This model was converted to MLX format from nidum/Nidum-gemma-3-27B-it-Uncensored using mlx-vlm version 0.1.19.