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atharvataras/DoctorGemma-3-4B-4bit
DoctorGemma-3-4B-4bit is a image-text-to-text model from atharvataras. 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 transformers. The card lists the license as apache-2.0.
Downloads · 30 days
6
24% of all-time downloads
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From the Hugging Face model README
Model Page: Gemma
Resources and Technical Documentation:
Terms of Use: [Terms][terms]
Authors: Google DeepMind
Summary description and brief definition of inputs and outputs.
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.
This gemma3 model was trained 2x faster with Unsloth and Huggingface's TRL library.