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Foundation-sec-8b

Training compute
1.2×10²⁴ FLOP
Parameters
8B
Published
Apr 28, 2025

Foundation-sec-8b is an AI model developed by Cisco (United States), first published in April 2025. It works in the language domain, on tasks such as language modeling/generation and question answering.

Training it took an estimated 1.2×10²⁴ FLOP of compute (estimation method: operation counting). The model has 8,000,000,000 parameters. It was trained on roughly 5.1B datapoints.

Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Llama 3.1-8B. Epoch AI rates the confidence of this record as confident.

Full record
Organization
Cisco
Country of organization
United States
Domain
Language
Task
Language modeling/generation, Question answering
Training compute
1.2×10²⁴ FLOP
Compute estimation method
Operation counting
Parameters
8,000,000,000
Dataset size
5.1B
Model accessibility
Open weights (unrestricted)
Open weights
Yes
Base model
Llama 3.1-8B
Epoch confidence
Confident
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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