| 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 | |
| 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 | |
| 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) | |
| ``` | |