Configuration Parsing Warning: In config.json: "quantization_config.bits" must be an integer

Exllamav2 quant (exl2 / 3.5 bpw) made with ExLlamaV2 v0.0.21

Other EXL2 quants:

Quant Model Size lm_head
2.2
2900 MB
6
2.5
3171 MB
6
3.0
3669 MB
6
3.5
4162 MB
6
3.75
4411 MB
6
4.0
4657 MB
6
4.25
4906 MB
6
5.0
5648 MB
6
6.0
6687 MB
8
6.5
7178 MB
8
8.0
8328 MB
8

πŸ™ GitHub β€’ πŸ‘Ύ Discord β€’ 🐀 Twitter β€’ πŸ’¬ WeChat
πŸ“ Paper β€’ πŸ™Œ FAQ β€’ πŸ“— 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, 16K, 32K 3.6T

Models

Benchmarks

  • Chat models

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

    image/png

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

    image/png

  • Base models

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

    image/png

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

    image/png

Quick Start

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

Downloads last month
3
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.