Instructions to use google/gemma-4-E4B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-E4B-it with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-E4B-it") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-E4B-it") - Notebooks
- Google Colab
- Kaggle
Add EvalEval community eval results
#35
by EvalEvalBot - opened
.eval_results/gpqa-diamond.yaml
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- dataset:
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id: Idavidrein/gpqa
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task_id: diamond
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date: '2026-04-18'
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notes: GPQA Diamond
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source:
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name: EvalEval
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url: https://huggingface.co/datasets/evaleval/EEE_datastore/blob/b11a260fe158662bb63b4a144be2b5690615414d/flat/objects/44/93/4493de12-a840-4946-8193-615ded5a17ec.json
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value: 57.0707070707
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