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---
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](https://huggingface.co/TheCluster/amoral-gemma-3-27B-v2-mlx-4bit)
## 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-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`](https://huggingface.co/nidum/Nidum-Gemma-3-27B-it-Uncensored) using mlx-vlm version **0.1.19**. |