Llama 3
Meta
partial detail 11 method fields published
Evaluation
Internal safety benchmarks built from human-written adversarial and borderline prompts per risk category (inspired by ML Commons taxonomy of hazards), ranging from direct harmful requests to sophisticated jailbreaks; basis for violation rate (VR) and false refusal rate (FRR) measurement
How it was run
Open a release to see the setup, scoring, and other details that the lab published. Only fields the lab actually disclosed are shown.
partial detail 11 method fields published