This model was converted to MLX from Jackrong/Qwopus3.6-27B-v2 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/Qwopus3.6-27B-v2-MLX-6bit-int6-affine --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image>

zecanard/Qwopus3.6-27B-v2-MLX-6bit-int6-affine

🦆 zecanard/Qwopus3.6-27B-v2-MLX-6bit-int6-affine

🌟 Quality

🛠️ Customizations

🖥️ Use with mlx

zecanard/
Qwopus3.6-27B-v2-MLX-6bit-int6-affine

🖥️ Use with `mlx`