Qwen2 - Ollama

Table of Contents

Qwen2 is trained on data across 29 languages, including English and Chinese. It comes in four different parameter sizes: 0.5B, 1.5B, 7B, and 72B. The 7B and 72B models feature an extended context length of up to 128k tokens.

Model	Qwen2-0.5B	Qwen2-1.5B	Qwen2-7B	Qwen2-72B
Params	0.49B	1.54B	7.07B	72.71B
Non-Emb Params	0.35B	1.31B	5.98B	70.21B
GQA	True	True	True	True
Tie Embedding	True	True	False	False
Context Length	32K	32K	128K	128K

Ollama qwen2 models

Supported languages

This is in addition to English and Chinese

Regions	Languages
Western Europe	German, French, Spanish, Portuguese, Italian, Dutch
Eastern & Central Europe	Russian, Czech, Polish
Middle East	Arabic, Persian, Hebrew, Turkish
Eastern Asia	Japanese, Korean
South-Eastern Asia	Vietnamese, Thai, Indonesian, Malay, Lao, Burmese, Cebuano, Khmer, Tagalog
Southern Asia	Hindi, Bengali, Urdu

Qwen2 is a cutting-edge collection of foundational and instruction-tuned language models, spanning from 0.5 to 72 billion parameters, and includes both dense and Mixture-of-Experts models. It surpasses most earlier open-weight models, including its predecessor Qwen1.5, and delivers competitive results against proprietary models across multiple benchmarks, excelling in language comprehension, text generation, multilingual support, coding, mathematics, and reasoning.

Run qwen2 with Ollama

ollama run qwen2

License

All models with the exception of Qwen2 72B (both instruct and base models) are Apache 2.0 licensed.

Qwen2 72B model still uses the original Qianwen License.

HuggingFace link:

https://huggingface.co/Qwen