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metadata
base_model: microsoft/Phi-3-mini-4k-instruct
language:
  - en
license: mit
license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
tags:
  - nlp
  - code
  - openvino
  - nncf
  - 4-bit
inference:
  parameters:
    temperature: 0
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-mini-4k-instruct and is converted to the OpenVINO format. This model was obtained via the nncf-quantization space with optimum-intel.

First make sure you have optimum-intel installed:

pip install optimum[openvino]

To load your model you can do as follows:

from optimum.intel import OVModelForCausalLM

model_id = "AlexKoff88/Phi-3-mini-4k-instruct-openvino-4bit"
model = OVModelForCausalLM.from_pretrained(model_id)