---
title: "Phi Models"
description: ""
---

This page provides detailed technical specifications for the Phi model family supported by NeMo Customizer. For information about supported features and capabilities, refer to [Tested Models](/documentation/customizer-reference/models/model-catalog).

## Microsoft Phi-4

| Property | Value |
|----------|--------|
| Creator | Microsoft |
| Architecture | Decoder-only Transformer |
| Description | Phi-4 is Microsoft's most advanced small language model, designed to deliver strong reasoning capabilities while being efficient to deploy. |
| Max I/O Tokens | 16K |
| Parameters | 14 billion |
| Training Data | High-quality data with emphasis on reasoning and code |
| Default Name | microsoft/phi-4 |
| Hugging Face | [microsoft/phi-4](https://huggingface.co/microsoft/phi-4) |

### Training Options

- **LoRA**: 2x 80GB GPU, tensor parallel size 2, micro batch size 2
- **Full SFT**: 4x 80GB GPU, tensor parallel size 2

### Deployment Configuration

- **LoRA**:
 - NIM Image: `nvcr.io/nim/nvidia/llm-nim:1.15.5`
- **Full SFT**:
 - NIM Image: `nvcr.io/nim/nvidia/llm-nim:1.15.5`
 - Additional Environment Variables:
 - `NIM_MODEL_PROFILE`: `vllm`
