Qwen2-0.5B

Training compute

3.6×10²² FLOP

Parameters

500M

Published

Jun 7, 2024

Qwen2-0.5B is an AI model developed by Alibaba (China), first published in June 2024. It works in the language domain, on tasks such as chat, language modeling/generation and question answering.

Training it took an estimated 3.6×10²² FLOP of compute (estimation method: operation counting). The model has 500,000,000 parameters. It was trained on roughly 12T datapoints.

Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Alibaba
Country of organization: China
Domain: Language
Task: Chat, Language modeling/generation, Question answering
Training compute: 3.6×10²² FLOP
Compute estimation method: Operation counting
Parameters: 500,000,000
Dataset size: 12T
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident