---
base_model: google/gemma-2-2b-it
library_name: transformers
license: gemma
pipeline_tag: text-generation
tags:
- conversational
- openvino
- nncf
- fp16
extra_gated_heading: Access Gemma on Hugging Face
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---

This model is a quantized version of [`google/gemma-2-2b-it`](https://huggingface.co/google/gemma-2-2b-it) 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/gemma-2-2b-it-openvino-fp16"
model = OVModelForCausalLM.from_pretrained(model_id)
```