Qwen2.5-7B

Training compute

8.2×10²³ FLOP

Parameters

7.6B

Published

Sep 19, 2024

Qwen2.5-7B is an AI model developed by Alibaba (China), first published in September 2024. It works in the language domain, on tasks such as language modeling/generation, question answering and quantitative reasoning.

Training it took an estimated 8.2×10²³ FLOP of compute (estimation method: operation counting). The model has 7,610,000,000 parameters.

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: Language modeling/generation, Question answering, Quantitative reasoning
Training compute: 8.2×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 7,610,000,000
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident