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littoralai/gemma-4-e4b-it-8bit
gemma-4-e4b-it-8bit is a image-text-to-text model from littoralai. 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.
8-bit MLX conversion of google/gemma-4-E4B-it, converted with mlxvlm (8-bit). No architecture, vocabulary, or training changes. See the base model card for capabilities, training details, and evaluations.
Downloads · 30 days
8
10% of all-time downloads
All-time downloads
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8.9 GB on disk
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.safetensors8.9 GB · 100%
How the weights are stored.
U327.5B · 94%
From the Hugging Face model README
8-bit MLX conversion of
google/gemma-4-E4B-it,
converted with mlx_vlm (8-bit). No architecture, vocabulary, or training
changes. See the base model card for capabilities, training details, and
evaluations.
Apache-2.0, from the base model (Google's Gemma 4 E4B-it), redistributed unchanged apart from the 8-bit MLX conversion. Community conversion; not endorsed by or affiliated with Google.
safetensors shard sha256:
model-00001-of-00002.safetensors
b25a7c6c2733bf33e5613aef920086065c7b7d251949a060cda8a11248c40a91model-00002-of-00002.safetensors
1dce2b4caed28833389f57d04940ec19a357f2c693dd23458a577804de024b31pip install mlx-vlm
python -m mlx_vlm.generate --model littoralai/gemma-4-e4b-it-8bit \
--prompt "Describe this image." --image path/to/image.jpg