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README.md

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+---
+base_model: microsoft/Phi-3-medium-4k-instruct
+language:
+- multilingual
+license: mit
+license_link: https://huggingface.co/microsoft/Phi-3-medium-4k-instruct/resolve/main/LICENSE
+pipeline_tag: text-generation
+tags:
+- nlp
+- code
+- openvino
+- nncf
+- 4-bit
+inference:
+  parameters:
+    temperature: 0.7
+widget:
+- messages:
+  - role: user
+    content: Can you provide ways to eat combinations of bananas and dragonfruits?
+---
+
+This model is a quantized version of [`microsoft/Phi-3-medium-4k-instruct`](https://huggingface.co/microsoft/Phi-3-medium-4k-instruct) 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 = "emmacall/Phi-3-medium-4k-instruct-openvino-4bit"
+model = OVModelForCausalLM.from_pretrained(model_id)
+```