Nemotron-H 8B

Training compute

7.2×10²³ FLOP

Parameters

8B

Published

Apr 14, 2025

Nemotron-H 8B is an AI model developed by NVIDIA (United States), first published in April 2025. It works in the language domain, on tasks such as language modeling/generation, question answering, translation and 2 more.

Training it took an estimated 7.2×10²³ FLOP of compute (estimation method: operation counting). The model has 8,000,000,000 parameters.

Access: Open weights (non-commercial). Its weights are openly available. Epoch AI rates the confidence of this record as confident.

Full record

Organization: NVIDIA
Country of organization: United States
Domain: Language
Task: Language modeling/generation, Question answering, Translation, Quantitative reasoning, Code generation
Training compute: 7.2×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 8,000,000,000
Numerical format: FP8
Model accessibility: Open weights (non-commercial)
Open weights: Yes
Epoch confidence: Confident