๐Ÿฆ† zecanard/gemma-4-31B-it-uncensored-abliterix-MLX-4bit-mixed_4_6

This model was converted to MLX from wangzhang/gemma-4-31B-it-abliterated using mlx-vlm version 0.6.3. Please refer to the original model card for more details.

๐ŸŒŸ Quality

Mixed-precision quantized vision language model with an effective 5.064 bits per weight. Combines the size and speed benefits of a 4-bit quant with higher precision where it matters most.

mlx_vlm.convert --quantize --q-group-size 32 --quant-predicate mixed_4_6

๐Ÿ› ๏ธ 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 environmentโ€™s Reasoning Section Parsing to recognize <|channel>thought as the Start String, and <channel|> as the End String.

๐Ÿ–ฅ๏ธ Use with mlx

pip install -U mlx-vlm
mlx_vlm.generate --model zecanard/gemma-4-31B-it-uncensored-abliterix-MLX-4bit-mixed_4_6 --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image>
Downloads last month
86
Safetensors
Model size
31B params
Tensor type
U32
ยท
BF16
ยท
MLX
Hardware compatibility
Log In to add your hardware

4-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for zecanard/gemma-4-31B-it-uncensored-abliterix-MLX-4bit-mixed_4_6

Quantized
(24)
this model