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Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone research paper by Microsoft, 2024

Microsoft · Apr 22, 2024 · Foundation models · 2,497 citations · 262 upvotes

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What it shows

Small models trained on filtered and synthetic data that run on a phone and rival much larger ones.

Summarised by hand from the abstract.

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About this paper
Authors
Marah Abdin, Sam Ade Jacobs, Ammar Ahmad Awan and 81 more
arXiv
2404.14219 · PDF
Venue
arXiv.org
Citations
2,497, 364 influential · Semantic Scholar
Upvotes
262 · Hugging Face
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

What changed
New paperAdded to the listSep 24, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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