license: gemma
base_model: wangzhang/gemma-4-E2B-it-abliterated
language: en
pipeline_tag: image-text-to-text
library_name: mlx
tags:
- mlx
- 2-bit
- abliterix
- decensored
- abliterated
- uncensored
- gemma4
- direct-weight-editing
- multimodal
🦆 zecanard/gemma-4-E2B-it-uncensored-abliterix-MLX-2bit-mixed_2_6
This model was converted to MLX from wangzhang/gemma-4-E2B-it-abliterated using mlx-vlm version 0.6.3.
Please refer to the original model card for more details.
🌟 Quality
Mixed-precision quantized vision language model with an effective 6.151 bits per weight. Combines the size and speed benefits of a 2-bit quant with higher precision where it matters most.
mlx_vlm.convert --quantize --q-group-size 32 --quant-predicate mixed_2_6
🛠️ Customizations
This quant includes a bugfix for tools calling. It is aware of the current date, and also enables thinking (if available). You may disable this behavior by deleting the following line from the chat template, or changing true to false:
{%- set enable_thinking = true %}
You may need to adjust your environment’s Reasoning Section Parsing to recognize <|channel>thought as the Start String, and <channel|> as the End String.
🖥️ Use with mlx
pip install -U mlx-vlm
mlx_vlm.generate --model zecanard/gemma-4-E2B-it-uncensored-abliterix-MLX-2bit-mixed_2_6 --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image>