Qwen2.5-Math-7B-Base

Training compute

8.6×10²³ FLOP

Parameters

7B

Published

Sep 19, 2024

Qwen2.5-Math-7B-Base 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, quantitative reasoning and question answering.

Training it took an estimated 8.6×10²³ FLOP of compute (estimation method: operation counting). The model has 7,000,000,000 parameters.

Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Qwen2.5-7B. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Alibaba
Country of organization: China
Domain: Language
Task: Language modeling/generation, Quantitative reasoning, Question answering
Training compute: 8.6×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 7,000,000,000
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Base model: Qwen2.5-7B
Epoch confidence: Confident