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Phi-3-mini: a small language model for edge devices
A compact model from Microsoft for settings where memory, compute or latency are tight. It reasons and does maths well for its size.
| Organization | Microsoft |
|---|---|
| Released | 2024 |
| Parameters | ~3.8B |
| License | MIT |
- Trained on filtered web and code data mixed with synthetic, textbook-style material
- 4K-token context; a separate 128K-context variant is available
- Works best in English
Summary written by SolxLab. Weights and code belong to their authors and are distributed under the license shown; always check the official page before use.
FrameworkPyTorch (Transformers)
NLPLLMEfficiency
