Qwen2.5-Coder (32B)

Training compute

1.1×10²⁴ FLOP

Parameters

32.5B

Published

Nov 12, 2024

Qwen2.5-Coder (32B) is an AI model developed by Alibaba (China), first published in November 2024. It works in the language domain, on tasks such as language modeling/generation and code generation.

Training it took an estimated 1.1×10²⁴ FLOP of compute (estimation method: operation counting). The model has 32,500,000,000 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, Code generation
Training compute: 1.1×10²⁴ FLOP
Compute estimation method: Operation counting
Parameters: 32,500,000,000
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident

Benchmark results

01	Epoch Capabilities Index	ECI Score	119.2
02	GSM8K	EM	0.91
03	HellaSwag	Overall accuracy	0.83
04	WinoGrande	Accuracy	0.81
05	MMLU	EM	0.79
06	ARC AI2	Challenge score	0.7