🦆 zecanard/gemma-4-31B-it-Claude-Opus-Distilled-v2-MLX-6bit-affine
This model was converted to MLX from TeichAI/gemma-4-31B-it-Claude-Opus-Distill-v2 using mlx-vlm version 0.4.4.
Please refer to the original model card for more details.
🌟 Quality
Quantized vision language model with an effective 8.169 bits per weight.
mlx_vlm.convert --quantize --q-bits 6 --q-group-size 32 --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:
{%- set enable_thinking = true %}
You may also 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-4-31B-it-Claude-Opus-Distilled-v2-MLX-6bit-affine --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image>
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Model size
9B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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6-bit
Model tree for zecanard/gemma-4-31B-it-Claude-Opus-Distilled-v2-MLX-6bit-int6-affine
Base model
google/gemma-4-31B-it Finetuned
unsloth/gemma-4-31B-it