license: apache-2.0
pipeline_tag: text-generation
base_model: 01-ai/Yi-1.5-9B-Chat-16K
tags:
- yi
- 01-ai
- instruct
- finetune
- chatml
- gguf
- imatrix
- importance matrix
model-index:
- name: 01-ai/Yi-1.5-9B-Chat-16K-iMat-GGUF
results: []
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 fabf30b4c4fca32e116009527180c252919ca922 (master as of 2024-05-20)
- 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.