Any-to-Any
Transformers
Safetensors
English
gemma4
image-text-to-text
text-generation-inference
vllm
compressed-tensors
Instructions to use prithivMLmods/gemma-4-E4B-it-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/gemma-4-E4B-it-FP8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("prithivMLmods/gemma-4-E4B-it-FP8") model = AutoModelForMultimodalLM.from_pretrained("prithivMLmods/gemma-4-E4B-it-FP8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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pipeline_tag: any-to-any
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library_name: transformers
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# **gemma-4-E4B-it-FP8**
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### **Benefits**
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At the time of release, this family of models provides high-performance open vision-language model implementations designed from the ground up for responsible AI development compared to similarly sized models.
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pipeline_tag: any-to-any
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library_name: transformers
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language:
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- en
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tags:
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- text-generation-inference
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- vllm
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# **gemma-4-E4B-it-FP8**
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### **Benefits**
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At the time of release, this family of models provides high-performance open vision-language model implementations designed from the ground up for responsible AI development compared to similarly sized models.
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