| --- |
| license: mit |
| license_link: https://choosealicense.com/licenses/mit/ |
| base_model: |
| - microsoft/Phi-3-medium-4k-instruct |
| --- |
| # Phi-3-medium-4k-instruct-fp16-ov |
| * Model creator: [Microsoft](https://huggingface.co/microsoft) |
| * Original model: [Phi-3-medium-4k-instruct](https://huggingface.co/microsoft/Phi-3-medium-4k-instruct) |
|
|
| ## Description |
|
|
| ## Compatibility |
|
|
| The provided OpenVINO™ IR model is compatible with: |
|
|
| * OpenVINO version 2024.2.0 and higher |
| * Optimum Intel 1.19.0 and higher |
|
|
| ## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) |
|
|
|
|
| 1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend: |
|
|
| ``` |
| pip install optimum[openvino] |
| ``` |
|
|
| 2. Run model inference: |
|
|
| ``` |
| from transformers import AutoTokenizer |
| from optimum.intel.openvino import OVModelForCausalLM |
| |
| model_id = "OpenVINO/Phi-3-medium-4k-instruct-fp16-ov" |
| tokenizer = AutoTokenizer.from_pretrained(model_id) |
| model = OVModelForCausalLM.from_pretrained(model_id) |
| |
| inputs = tokenizer("What is OpenVINO?", return_tensors="pt") |
| |
| outputs = model.generate(**inputs, max_length=200) |
| text = tokenizer.batch_decode(outputs)[0] |
| print(text) |
| ``` |
|
|
| For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html). |
|
|
| ## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai) |
|
|
| 1. Install packages required for using OpenVINO GenAI. |
| ``` |
| pip install openvino-genai huggingface_hub |
| ``` |
|
|
| 2. Download model from HuggingFace Hub |
| |
| ``` |
| import huggingface_hub as hf_hub |
| |
| model_id = "OpenVINO/Phi-3-medium-4k-instruct-fp16-ov" |
| model_path = "Phi-3-medium-4k-instruct-fp16-ov" |
| |
| hf_hub.snapshot_download(model_id, local_dir=model_path) |
| |
| ``` |
|
|
| 3. Run model inference: |
|
|
| ``` |
| import openvino_genai as ov_genai |
| |
| device = "CPU" |
| pipe = ov_genai.LLMPipeline(model_path, device) |
| print(pipe.generate("What is OpenVINO?", max_length=200)) |
| ``` |
|
|
| More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://github.com/openvinotoolkit/openvino.genai/blob/master/src/README.md) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples) |
|
|
| ## Limitations |
|
|
| Check the original model card for [limitations](). |
|
|
| ## Legal information |
|
|
| The original model is distributed under [mit](https://choosealicense.com/licenses/mit/) license. More details can be found in [original model card](https://huggingface.co/microsoft/Phi-3-medium-4k-instruct). |
|
|
| ## Disclaimer |
|
|
| Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights. |
|
|
