license: apache-2.0
base_model: wangzhang/Qwen3.6-27B-abliterated
library_name: mlx
tags:
- mlx
- decensored
- abliterated
- uncensored
- dense
- qwen3.6
- hybrid-attention
- gated-deltanet
- vlm
- lora-search-merged-release
- abliterix
- deeprefusal-peel
- iterative-abliteration
language: - en
- zh
pipeline_tag: image-text-to-text
🦆 zecanard/Qwen3.6-27B-uncensored-abliterix-MLX-6bit-int6-affine
This model was converted to MLX from wangzhang/Qwen3.6-27B-abliterated using mlx-vlm version 0.6.3.
Please refer to the original model card for more details.
🌟 Quality
Quantized vision language model with an effective 7.152 bits per weight.
mlx_vlm.convert --quantize --q-group-size 32 --q-bits 6 --q-mode affine
🛠️ Customizations
This quant 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 %}
A fix is also included for a thinking-related performance issue in Qwen 3.6.
🖥️ Use with mlx
pip install -U mlx-vlm
mlx_vlm.generate --model zecanard/Qwen3.6-27B-uncensored-abliterix-MLX-6bit-int6-affine --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image>