186 citations · 425 across the 8 of their papers we have counts for
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cs.CL2024★ 2 cited
Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle
Emman Haider, Daniel Perez-Becker, Thomas Portet +28
Recent innovations in language model training have demonstrated that it is possible to create highly performant models that are small enough to run on a smartphone. As these models…
cs.CL2024★ 163 cited
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah Abdin, Jyoti Aneja, Hany Awadalla +126
We introduce phi-3-mini, a 3.8 billion parameter language model trained on 3.3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal test…