Quant Infos

• quants done with an importance matrix for improved quantization loss
• gguf & imatrix generated from bf16 for "optimal" accuracy loss (some say this is snake oil, but it can't hurt)
• 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:

Intro

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