LLaMA 7B
READER SUMMARYMeta's seven-billion-parameter LLaMA foundation model, released through case-by-case noncommercial research access for efficient experimentation and fine-tuning.
Why this model scores 37.2
LLaMA 7B offered meaningful general language capability in a comparatively efficient model with broad fine-tuning potential. Case-by-case research access, a noncommercial license and no native agency constrained initial deployment and autonomy, while portable weights created moderate misuse and control challenges.
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News tied to LLaMA 7B
The model score of 37.2 rates this model's risk profile. The overall Doom Index of 60.4 measures the recalibrated complete evidence corpus. These values answer different questions.
Each article's leave-one-out Doom Index contribution is divided equally among the exact models named on that article. This prevents multi-model evidence from being claimed in full on several model pages. Model risk scores are recalculated from their technical profile and related news, but never feed back into the overall index.
Meta releases LLaMA foundation models to researchers
Meta released LLaMA models from 7B to 65B parameters under case-by-case noncommercial research access, emphasizing efficient training and broad fine-tuning potential.
- Full item contribution
- +0.03
- LLaMA 7B equal share
- +0.03
Model score history
- R1Doom Score 37.2
New exact LLaMA 7B model profile established by Meta's dated release, model card and access restrictions.
12 Aug 2026