Yi-1.5-9B-Chat-GGUF

Yi-1.5-9B-Chat-GGUF

Quantized GGUF model files for Yi-1.5-9B-Chat from 01-ai

Original Model Card:

<div align="center"> <picture> <img src="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.svg" width="150px"> </picture> </div> <p align="center"> <a href="https://github.com/01-ai">🐙 GitHub</a> • <a href="https://discord.gg/hYUwWddeAu">👾 Discord</a> • <a href="https://twitter.com/01ai_yi">🐤 Twitter</a> • <a href="https://github.com/01-ai/Yi-1.5/issues/2">💬 WeChat</a> <br/> <a href="https://arxiv.org/abs/2403.04652">📝 Paper</a> • <a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#faq">🙌 FAQ</a> • <a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#learning-hub">📗 Learning Hub</a> </p>

Intro

Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples.

Compared with Yi, Yi-1.5 delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension.

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Models

• Chat models

  <div align="center">

  Name	Download
  Yi-1.5-34B-Chat	• 🤗 Hugging Face • 🤖 ModelScope
  Yi-1.5-9B-Chat	• 🤗 Hugging Face • 🤖 ModelScope
  Yi-1.5-6B-Chat	• 🤗 Hugging Face • 🤖 ModelScope

  </div>

• Base models

  <div align="center">

  Name	Download
  Yi-1.5-34B	• 🤗 Hugging Face • 🤖 ModelScope
  Yi-1.5-9B	• 🤗 Hugging Face • 🤖 ModelScope
  Yi-1.5-6B	• 🤗 Hugging Face • 🤖 ModelScope

  </div>

Benchmarks

• Chat models

  Yi-1.5-34B-Chat is on par with or excels beyond larger models in most benchmarks.

  

  Yi-1.5-9B-Chat is the top performer among similarly sized open-source models.

  

• Base models

  Yi-1.5-34B is on par with or excels beyond larger models in some benchmarks.

  

  Yi-1.5-9B is the top performer among similarly sized open-source models.

  

Quick Start

For getting up and running with Yi-1.5 models quickly, see README.