---
base_model: microsoft/phi-4
language:
- en
library_name: transformers
license: mit
license_link: https://huggingface.co/microsoft/phi-4/resolve/main/LICENSE
pipeline_tag: text-generation
tags:
- phi
- nlp
- math
- code
- chat
- conversational
- openvino
- nncf
- fp16
inference:
  parameters:
    temperature: 0
widget:
- messages:
  - role: user
    content: How should I explain the Internet?
---

This model is a quantized version of [`microsoft/phi-4`](https://huggingface.co/microsoft/phi-4) and is converted to the OpenVINO format. This model was obtained via the [nncf-quantization](https://huggingface.co/spaces/echarlaix/nncf-quantization) space with [optimum-intel](https://github.com/huggingface/optimum-intel).
First make sure you have `optimum-intel` installed:
```bash
pip install optimum[openvino]
```
To load your model you can do as follows:
```python
from optimum.intel import OVModelForCausalLM
model_id = "AIFunOver/phi-4-openvino-fp16"
model = OVModelForCausalLM.from_pretrained(model_id)
```