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@@ -73,6 +73,10 @@ pipeline_tag: text-generation
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  - [🟢 What is Yi?](#-what-is-yi)
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  - [📌 Introduction](#-introduction)
 
 
 
 
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  - [🎉 News](#-news)
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  - [🟢 Why Yi?](#-why-yi)
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  - [🌎 Ecosystem](#-ecosystem)
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  </details>
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  # 🟢 What is Yi?
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  ## 📌 Introduction
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  <div align="right"> [ <a href="#building-the-next-generation-of-open-source-and-bilingual-llms">Back to top ⬆️ </a> ] </div>
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  ## 🎉 News
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  <details>
 
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  - [🟢 What is Yi?](#-what-is-yi)
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  - [📌 Introduction](#-introduction)
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+ - [🎯 Models](#-models)
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+ - [Chat models](#chat-models)
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+ - [Base models](#base-models)
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+ - [Other info](#other-info)
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  - [🎉 News](#-news)
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  - [🟢 Why Yi?](#-why-yi)
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  - [🌎 Ecosystem](#-ecosystem)
 
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  </details>
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+ <hr>
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  # 🟢 What is Yi?
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  ## 📌 Introduction
 
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  <div align="right"> [ <a href="#building-the-next-generation-of-open-source-and-bilingual-llms">Back to top ⬆️ </a> ] </div>
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+ ## 🎯 Models
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+ Yi models come in multiple sizes and cater to different use cases. You can also fine-tune Yi models to meet your specific requirements.
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+ ### Chat models
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+
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+ | Model | Download
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+ |---|---
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+ Yi-6B-Chat| • [🤗 Hugging Face](https://huggingface.co/01-ai/Yi-6B-Chat) • [🤖 ModelScope](https://www.modelscope.cn/models/01ai/Yi-6B-Chat/summary)
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+ Yi-6B-Chat-4bits | • [🤗 Hugging Face](https://huggingface.co/01-ai/Yi-6B-Chat-4bits) • [🤖 ModelScope](https://www.modelscope.cn/models/01ai/Yi-6B-Chat-4bits/summary)
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+ Yi-6B-Chat-8bits | • [🤗 Hugging Face](https://huggingface.co/01-ai/Yi-6B-Chat-8bits) • [🤖 ModelScope](https://www.modelscope.cn/models/01ai/Yi-6B-Chat-8bits/summary)
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+ Yi-34B-Chat | • [🤗 Hugging Face](https://huggingface.co/01-ai/Yi-34B-Chat) • [🤖 ModelScope](https://www.modelscope.cn/models/01ai/Yi-34B-Chat/summary)
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+ Yi-34B-Chat-4bits | • [🤗 Hugging Face](https://huggingface.co/01-ai/Yi-34B-Chat-4bits) • [🤖 ModelScope](https://www.modelscope.cn/models/01ai/Yi-34B-Chat-4bits/summary)
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+ Yi-34B-Chat-8bits | • [🤗 Hugging Face](https://huggingface.co/01-ai/Yi-34B-Chat-8bits) • [🤖 ModelScope](https://www.modelscope.cn/models/01ai/Yi-34B-Chat-8bits/summary)
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+ <sub><sup> - 4 bits series models are quantized by AWQ. <br> - 8 bits series models are quantized by GPTQ <br> - All quantized models have a low barrier to use since they can be deployed on consumer-grade GPUs (e.g., 3090, 4090).</sup></sub>
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+
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+ ### Base models
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+ | Model | Download |
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+ |---|---|
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+ Yi-6B| • [🤗 Hugging Face](https://huggingface.co/01-ai/Yi-6B) • [🤖 ModelScope](https://www.modelscope.cn/models/01ai/Yi-6B/summary)
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+ Yi-6B-200K | • [🤗 Hugging Face](https://huggingface.co/01-ai/Yi-6B-200K) • [🤖 ModelScope](https://www.modelscope.cn/models/01ai/Yi-6B-200K/summary)
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+ Yi-34B| • [🤗 Hugging Face](https://huggingface.co/01-ai/Yi-34B) • [🤖 ModelScope](https://www.modelscope.cn/models/01ai/Yi-34B/summary)
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+ Yi-34B-200K|• [🤗 Hugging Face](https://huggingface.co/01-ai/Yi-34B-200K) • [🤖 ModelScope](https://www.modelscope.cn/models/01ai/Yi-34B-200K/summary)
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+ <sub><sup> - 200k is roughly equivalent to 400,000 Chinese characters. </sup></sub>
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+ ### Other info
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+ For chat models and base models:
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+ - 6B series models are suitable for personal and academic use.
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+ - 34B series models suitable for personal, academic, and commercial (particularly for small and medium-sized enterprises) purposes. It's a cost-effective solution that's affordable and equipped with emergent ability.
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+ - The **default context window** is **4k tokens**.
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+ - The pretrained tokens are 3T.
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+ - The training data are up to June 2023.
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+ <div align="right"> [ <a href="#building-the-next-generation-of-open-source-and-bilingual-llms">Back to top ⬆️ </a> ] </div>
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  ## 🎉 News
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  <details>