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zecanard/gemma-4-31B-it-Claude-Opus-Distilled-MLX-4bit-nvfp4
gemma-4-31B-it-Claude-Opus-Distilled-MLX-4bit-nvfp4 is a image-text-to-text model from zecanard. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
This model was converted to MLX from TeichAI/gemma-4-31B-it-Claude-Opus-Distill using mlx-vlm version 0.4.4. Please refer to the original model card for more details.
Downloads · 30 days
44
6% of all-time downloads
All-time downloads
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48 GB on disk
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How the weights are stored.
U3230.7B · 98%
From the Hugging Face model README
This model was converted to MLX from TeichAI/gemma-4-31B-it-Claude-Opus-Distill using mlx-vlm version 0.4.4.
Please refer to the original model card for more details.
Quantized vision language model with an effective 7.377 bits per weight.
mlx_vlm.convert --quantize --q-bits 4 --q-group-size 16 --q-mode nvfp4
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.
mlxpip install -U mlx-vlm
mlx_vlm.generate --model zecanard/gemma-4-31B-it-Claude-Opus-Distilled-MLX-4bit-nvfp4 --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image>