VARCO LLM 2.0 small Finetuning

Training compute

6.7×10²² FLOP

Parameters

7B

Published

Aug 16, 2023

VARCO LLM 2.0 small Finetuning is an AI model developed by NCSOFT (South Korea), first published in August 2023. It works in the language domain, on tasks such as language modeling/generation, chat, text summarization and 2 more.

Training it took an estimated 6.7×10²² FLOP of compute (estimation method: operation counting). The model has 7,000,000,000 parameters. It was trained on roughly 1.6T datapoints.

Access: API access. Its weights are not openly released. Epoch AI rates the confidence of this record as likely.

Full record

Organization: NCSOFT
Country of organization: South Korea
Domain: Language
Task: Language modeling/generation, Chat, Text summarization, Translation, Question answering
Training compute: 6.7×10²² FLOP
Compute estimation method: Operation counting
Parameters: 7,000,000,000
Dataset size: 1.6T
Model accessibility: API access
Open weights: No
Epoch confidence: Likely