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committedMay 14, 2024·
fix: gemma logo and add gpt logos
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‎all.json

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‎assets/gpt-35.webp

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‎assets/gpt-4.webp

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‎models/google/gemma-2b.json

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"version": "1.0.0",
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"description": "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. They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as a laptop, desktop or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.",
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"author": "Google",
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"icon": "https://opla.github.io/models/assets/google-gemma.svg",
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"publisher": {
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"name": "Google",
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"url": "https://huggingface.co/google"

‎models/google/gemma-7b.json

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"version": "1.0.0",
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"description": "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. They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as a laptop, desktop or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.",
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"author": "Google",
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"icon": "https://opla.github.io/models/assets/google-gemma.svg",
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"publisher": {
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"name": "Google",
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"url": "https://huggingface.co/google"

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