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gemma-4-e2b-it-4bit
littoralai/gemma-4-e2b-it-4bit
gemma-4-e2b-it-4bit 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.
4-bit MLX conversion of google/gemma-4-E2B-it, converted with mlxvlm (4-bit). No architecture, vocabulary, or training changes. See the base model card for capabilities, training details, and evaluations.
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5.1B
3.6 GB on disk
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.safetensors3.6 GB · 99%
Parameter types
How the weights are stored.
U324.6B · 91%
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Base models
Model card
From the Hugging Face model README
littoralai/gemma-4-e2b-it-4bit
4-bit MLX conversion of
google/gemma-4-E2B-it,
converted with mlx_vlm (4-bit). No architecture, vocabulary, or training
changes. See the base model card for capabilities, training details, and
evaluations.
License
Apache-2.0, from the base model (Google's Gemma 4 E2B-it), redistributed unchanged apart from the 4-bit MLX conversion. Community conversion; not endorsed by or affiliated with Google.
Integrity
model.safetensors sha256
038e39a37a7667373d2c3991375446b10c96ae1d717a68674870343db376b76e
Use with mlx-vlm
pip install mlx-vlm
python -m mlx_vlm.generate --model littoralai/gemma-4-e2b-it-4bit \
--prompt "Describe this image." --image path/to/image.jpg
- Task
- Image-Text-to-Text
- Library
- mlx
- Type
- gemma4
- License
- apache-2.0
- Created
- Jul 11, 2026
- Updated
- Jul 11, 2026