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zecanard/Gemopus-4-E4B-it-MLX-3bit-mixed_3_6
Gemopus-4-E4B-it-MLX-3bit-mixed_3_6 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 Jackrong/Gemopus-4-E4B-it using mlx-vlm version 0.6.3. Please refer to the original model card for more details.
Downloads · 30 days
28
9% of all-time downloads
All-time downloads
319
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17.3 GB on disk
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.safetensors5.7 GB · 99%
How the weights are stored.
U327.5B · 94%
From the Hugging Face model README
This model was converted to MLX from Jackrong/Gemopus-4-E4B-it using mlx-vlm version 0.6.3.
Please refer to the original model card for more details.
Mixed-precision quantized vision language model with an effective 5.804 bits per weight. Combines the size and speed benefits of a 3-bit quant with higher precision where it matters most.
mlx_vlm.convert --quantize --q-group-size 32 --quant-predicate mixed_3_6
This quant includes a bugfix related to 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 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/Gemopus-4-E4B-it-MLX-3bit-mixed_3_6 --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image>