ERNIE-4.5-300B-A47B

Training compute

2.8×10²⁴ FLOP

Parameters

300B

Published

Jun 29, 2025

ERNIE-4.5-300B-A47B is an AI model developed by Baidu (China), first published in June 2025. It works in the language domain, on tasks such as language modeling/generation, quantitative reasoning, code generation and 2 more.

Training it took an estimated 2.8×10²⁴ FLOP of compute. The model has 300,000,000,000 parameters. Training ran on NVIDIA H800 SXM5.

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

Full record

Organization: Baidu
Country of organization: China
Domain: Language
Task: Language modeling/generation, Quantitative reasoning, Code generation, Translation, Question answering
Training compute: 2.8×10²⁴ FLOP
Parameters: 300,000,000,000
Training hardware: NVIDIA H800 SXM5
Numerical format: FP8
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Speculative