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README.md

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+---
+base_model: google/gemma-2-2b-it
+library_name: transformers
+license: gemma
+pipeline_tag: text-generation
+tags:
+- conversational
+- openvino
+- nncf
+- 8-bit
+extra_gated_heading: Access Gemma on Hugging Face
+extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
+  agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
+  Face and click below. Requests are processed immediately.
+extra_gated_button_content: Acknowledge license
+base_model_relation: quantized
+---
+
+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-8bit"
+model = OVModelForCausalLM.from_pretrained(model_id)
+```