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Llama is Meta’s family of language models; the name expands to Large Language Model Meta AI.
Teerera kugwaro iriAI-yakarondedzerwa · ~1 min
Meta publishes weights and documentation for many releases under version-specific licenses and use terms.
Llama means Large Language Model Meta AI. Meta describes the family as decoder-only Transformer language models predicting the next token. The Llama 3 materials describe supervised fine-tuning and reinforcement learning from human feedback for instruction-tuned variants. Publicly released weights remain subject to release-specific licenses and acceptable-use terms; downloadable does not mean unrestricted public domain. Check the exact model card, architecture and license for the version being used.
Meta’s Llama 3 announcement documents a dated release and its instruction-tuning methods.
Llama 2 permits commercial use subject to its license terms; later versions may have different conditions.
Llama 3.2 Vision model cards describe text and image inputs for the specified model variants.
Local inference avoids sending prompts to a hosted inference service only when the model and connected tools run locally.
The cited sources establish particular releases, architectures, modalities and licenses. They do not establish privacy guarantees, unrestricted derivative rights or the number of third-party derivatives.
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Llama is Meta’s family of language models; the name expands to Large Language Model Meta AI. Meta publishes weights and documentation for many releases under version-specific licenses and use terms.
Meta publishes weights for many Llama versions, but access and permitted use are governed by version-specific license and acceptable-use terms. “Open” does not mean unrestricted public domain.
Llama inomirira Large Language Model Meta AI, inoratidza chinangwa chayo nemusiki wayo.
Meta announced Llama 2 as free for research and commercial use under its community license; the license contains terms and restrictions, so it is not an unrestricted open-source license.
Llama modhi idhikodha-chete mashanduri akadzidziswa kufanotaura chinotevera tokeni pamusoro pemavara makuru uye kodhi corpora.
Mirayiridzo-yakarongedzwa Llama modhi inokwenenzverwa neyakatariswa-tuning uye RLHF saka vanoita sevanobatsira, vanotevera-vanotevera vabatsiri.
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InoteveraGaidhi rinotevera
NVIDIA Cosmos World Foundation Models
Makambani