GeoPixel-7B is the model specific to the Remote Sensing Grounded Conversation Generation (RS-GCG) task. It is finetuned on GeoPixelD dataset. - **Paper:** ArXiv. - **GitHub Repository:** For training and updates: GitHub - GeoPixel. - **Project Page:** For a detailed overview, visit our Project Page - GeoPixel.

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LaMini-Flan-T5-248M

MBZUAI

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Text generation

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LaMini-Flan-T5-77M

MBZUAI

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Text generation

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LaMini-Flan-T5-783M

MBZUAI

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Text generation

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LaMini-GPT-124M

MBZUAI

This model is one of our LaMini-LM model series in paper "LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions". This model is a fine-tuned version of gpt2 on LaMini-instruction dataset that contains 2.58M samples for instruction fine-tuning. For more information about our dataset, please refer to our project repository. You can view other models of LaMini-LM series as follows. Models with ✩ are those with the best overall performance given their size/architecture, hence we recommend using them. More details can be seen in our paper. We recommend using the model to respond to human instructions written in natural language. Since this decoder-only model is fine-tuned with wrapper text, we suggest using the same wrapper text to achieve the best performance. See the example on the right or the code below. We initialize with gpt2 and fine-tune it on our LaMini-instruction dataset. Its total number of parameters is 124M.

Text generation

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LaMini-T5-61M

MBZUAI

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