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README.md
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<div align="center">
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<img src="
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**OceanGPT: A Large Language Model for Ocean Science Tasks**
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<a href="https://arxiv.org/abs/2310.02031">Paper</a> •
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<a href="https://huggingface.co/collections/zjunlp/oceangpt-664cc106358fdd9f09aa5157">Models</a> •
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<a href="http://oceangpt.zjukg.cn/#model">Web</a> •
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<a href="#overview">Overview</a> •
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<a href="#quickstart">Quickstart</a> •
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<a href="#citation">Citation</a>
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</p>
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OceanGPT-14B-v0.1 is based on Qwen1.5-14B and has been trained on a bilingual dataset in the ocean domain, covering both Chinese and English.
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## Table of Contents
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- <a href="#news">What's New</a>
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- <a href="#overview">Overview</a>
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- <a href="#quickstart">Quickstart</a>
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- <a href="#models">Models</a>
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- <a href="#citation">Citation</a>
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## 🔔News
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- **2024-07-04, we release OceanGPT-14B/2B-v0.1 and OceanGPT-7B-v0.2 based on Qwen and MiniCPM.**
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- **2024-06-04, [OceanGPT](https://arxiv.org/abs/2310.02031) is accepted by ACL 2024. 🎉🎉**
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- **2023-10-04, we release the paper "[OceanGPT: A Large Language Model for Ocean Science Tasks](https://arxiv.org/abs/2310.02031)" and release OceanGPT-7B-v0.1 based on LLaMA2.**
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- **2023-05-01, we launch the OceanGPT project.**
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## 🌟Overview
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This is the OceanGPT project, which aims to build LLMs for ocean science tasks.
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<div align="center">
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<img src="figs/overview.png" width="60%">
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</div>
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## ⏩Quickstart
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### Download the model
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year={2023}
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}
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```
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<div align="center">
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<img src="logo.jpg" width="300px">
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**OceanGPT: A Large Language Model for Ocean Science Tasks**
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<a href="https://arxiv.org/abs/2310.02031">Paper</a> •
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<a href="https://huggingface.co/collections/zjunlp/oceangpt-664cc106358fdd9f09aa5157">Models</a> •
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<a href="http://oceangpt.zjukg.cn/#model">Web</a> •
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<a href="#quickstart">Quickstart</a> •
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<a href="#citation">Citation</a>
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</p>
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OceanGPT-14B-v0.1 is based on Qwen1.5-14B and has been trained on a bilingual dataset in the ocean domain, covering both Chinese and English.
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## ⏩Quickstart
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### Download the model
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year={2023}
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}
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```
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