qwp4w3hyb/Yi-1.5-9B-Chat-iMat-GGUF

Quant Infos

• quants done with an importance matrix for improved quantization loss
• ggufs & imatrix generated from bf16 for "optimal" accuracy loss
• Wide coverage of different gguf quant types from Q_8_0 down to IQ1_S
• Quantized with llama.cpp commit dc685be46622a8fabfd57cfa804237c8f15679b8 (master as of 2024-05-12)
• Imatrix generated with this multi-purpose dataset.

  ./imatrix -c 512 -m $model_name-f16.gguf -f $llama_cpp_path/groups_merged.txt -o $out_path/imat-f16-gmerged.dat
  

Original Model Card:

🐙 GitHub • 👾 Discord • 🐤 Twitter • 💬 WeChat
📝 Paper • 🙌 FAQ • 📗 Learning Hub

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.

Model	Context Length	Pre-trained Tokens
Yi-1.5	4K	3.6T

Models

• Chat models

  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

• Base models

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

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.