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LLaMA
LLaMA is a collection of foundation language models ranging from 7B to 65B parameters designed to demonstrate state-of-the-art performance using only publicly available datasets
verified Jul 15, 2026 · HTTP 200
CohortClass of 2026What it is
LLaMA is a collection of foundation language models ranging from 7B to 65B parameters designed to demonstrate state-of-the-art performance using only publicly available datasets. The model family proves that proprietary data is not required to achieve competitive large language model capabilities.
HTTP liveness
10 probes since Jun 16Jun 16Jul 15
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)
Observed events
probes · press · GitHub- Jun 16, 2026First probe — liveAlive · 200 OK
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Pulse Indexobserved activity
10 probes0 pressGitHub –Tranco –
Not enough observed signals for a Pulse Index (needs 2+ signal families).
Cohort survival · Class of 2026weekly
550 products launched in 2026 · 100% still active
550 active0 sunset
Still active
100%
Median lifespan
4.9y