Qwen2.5 Instruct (72B)

Training compute

7.9×10²⁴ FLOP

Parameters

72.7B

Published

Sep 19, 2024

Qwen2.5 Instruct (72B) is an AI model developed by Alibaba (China), first published in September 2024. It works in the language domain, on tasks such as code generation, code autocompletion, quantitative reasoning and 2 more.

Training it took an estimated 7.9×10²⁴ FLOP of compute. The model has 72,700,000,000 parameters.

Access: Open weights (restricted use). Its weights are openly available. It is built on top of Qwen2.5-72B. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Alibaba
Country of organization: China
Domain: Language
Task: Code generation, Code autocompletion, Quantitative reasoning, Question answering, Language modeling/generation
Training compute: 7.9×10²⁴ FLOP
Parameters: 72,700,000,000
Model accessibility: Open weights (restricted use)
Open weights: Yes
Base model: Qwen2.5-72B
Epoch confidence: Confident