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llama open and efficient foundation language models

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5 min read · Apr 24, 2026

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llama open and efficient foundation language models

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Feb 27, 2023 · We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it is possible to train state-of …
Feb 24, 2023 · We introduce LLaMA, a collection of founda- tion language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show...
Discover Llama 4's class-leading AI models, Scout and Maverick. Experience top performance, multimodality, low costs, and unparalleled efficiency.
Feb 27, 2023 · We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it is possible to train...
Feb 27, 2023 · LLaMA, a collection of foundation language models ranging from 7B to 65B parameters, is introduced and it is shown that it is possible to train state-of-the-art models using publicly available …
We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it is possible to train state-of-the-art models …
We compare LLaMA with other foundation mod-els, namely the non-publicly available language models GPT-3 (Brown et al., 2020), Gopher (Rae et al., 2021), Chinchilla (Hoffmann et al., 2022) and PaLM …
TL;DR: This article developed and released Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters.
We compare LLaMA with other foundation mod-els, namely the non-publicly available language models GPT-3 (Brown et al., 2020), Gopher (Rae et al., 2021), Chinchilla (Hoffmann et al., 2022) and PaLM …

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