---
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
- 6bit
language:
  - en
  - fr
  - es
  - de
  - it
  - hi
  - ru
library_name: mlx
---
# Gemma-3-27B Instruct Uncensored 6-bit MLX
Uncensored version of **Gemma 3 27B**.

Also you can try new uncensored version: [Amoral Gemma-3 27B 6-bit MLX](https://huggingface.co/TheCluster/amoral-gemma-3-27B-v2-mlx-6bit)

## 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](https://huggingface.co/google/gemma-3-27b-it) and [uncensored model](https://huggingface.co/nidum/Nidum-gemma-3-27B-it-Uncensored) for more details on the model.


## Use with mlx

```bash
pip install -U mlx-vlm
```

```bash
python -m mlx_vlm.generate --model TheCluster/gemma-3-27b-it-uncensored-mlx-6bit --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`](https://huggingface.co/nidum/Nidum-Gemma-3-27B-it-Uncensored) using mlx-vlm version **0.1.19**.