microsoft/phi-2
text-generation model by microsoft
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Model card & documentation
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Phi-2 is a Transformer with 2.7 billion parameters. It was trained using the same data sources as Phi-1.5, augmented with a new data source that consists of various NLP synthetic texts and filtered websites (for safety and educational value). When assessed against benchmarks testing common sense, language understanding, and logical reasoning, Phi-2 showcased a nearly state-of-the-art performance among models with less than 13 billion parameters. Our model hasn't been fine-tuned through reinforcement learning from human feedback. The intention behind crafting this open-source model is to provide the research community with a non-restricted small model to explore vital safety challenges, such as reducing toxicity, understanding societal biases, enhancing controllability, and more. Phi-2 has been integrated in the transformers version 4.37.0, please ensure that you are using a version equal or higher than it. Phi-2 is known for having an attention overflow issue (with FP16). If you are facing this issue, please…
Read the full model card ↗ · Preview checked 2026-10-31T02:22:07.556Z
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- Model Summary
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Model overview
microsoft/phi-2 is a text-generation model repository published by microsoft on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 319,521
- Cumulative likes
- 3,533
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 2,779,683,840
- Architecture
- PhiForCausalLM
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2023-12-13T21:19:59.000Z
- Last modified
- 2025-12-08T11:35:44.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:50:33.901Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.