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[2302.13971] LLaMA: Open and Efficient Foundation Language Models

https://arxiv.org/abs/2302.13971
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5
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2026-07-21 09:17:07
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arxiv.org
Text Highlight2026-07-21 12:38:07
Original Highlight Excerpt
"possible to train state-of-the-art models using p"
Whisper Note
wait, 13B beating GPT-3? that's... suspiciously good
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arxiv.org
Text Highlight2026-07-21 12:29:07
Original Highlight Excerpt
"possible to train state-of-the-art models using p"
Whisper Note
finally, open models that don't need those secret datasets
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arxiv.org
Text Highlight2026-07-21 09:35:07
Original Highlight Excerpt
"a collection of foundation language models ranging from 7B to 65B parameters"
Whisper Note
Trillions of tokens on public data? I'm skeptical but curious.
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arxiv.org
Text Highlight2026-07-21 09:26:07
Original Highlight Excerpt
"a collection of foundation language models ranging from 7B to 65B parameters"
Whisper Note
Finally open models that beat GPT-3, that's wild.
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arxiv.org
Text Highlight2026-07-21 09:17:07
Original Highlight Excerpt
"a collection of foundation language models ranging from 7B to 65B parameters"
Whisper Note
7B to 65B is a nice range, but 65B still needs a lot of GPUs.

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