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asnelt/gemma-4-E4B-v1vlm
gemma-4-E4B-v1vlm is a image-text-to-text model from asnelt. 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 peft.
This model is a vision language model based on Gemma 4 and finetuned on topics related to visual cortex and neuronal coding.
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From the Hugging Face model README
This model is a vision language model based on Gemma 4 and finetuned on topics related to visual cortex and neuronal coding.
This is Gemma 4 finetuned on the asnelt/visual-cortex-coding-qa dataset, a questions and answers dataset on topics around visual cortex and neuronal coding.
The model is meant to be used with V1VLM, a vision language model for analyzing neuronal coding in primary visual cortex.
While being based on a general purpose model, the finetuning on topics around visual cortex and neuronal coding make this model version ill-suited to applications outside of neuroscience.
The model can be used in the same way as the original Gemma 4.
The model was finetuned on asnelt/visual-cortex-coding-qa.
This model was trained with Huggingface's TRL library.