Instructions to use OpenVINO/phi-2-int4-ov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenVINO/phi-2-int4-ov with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="OpenVINO/phi-2-int4-ov")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("OpenVINO/phi-2-int4-ov") model = AutoModelForCausalLM.from_pretrained("OpenVINO/phi-2-int4-ov") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use OpenVINO/phi-2-int4-ov with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OpenVINO/phi-2-int4-ov" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenVINO/phi-2-int4-ov", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/OpenVINO/phi-2-int4-ov
- SGLang
How to use OpenVINO/phi-2-int4-ov with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "OpenVINO/phi-2-int4-ov" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenVINO/phi-2-int4-ov", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "OpenVINO/phi-2-int4-ov" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenVINO/phi-2-int4-ov", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use OpenVINO/phi-2-int4-ov with Docker Model Runner:
docker model run hf.co/OpenVINO/phi-2-int4-ov
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license: mit
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license_link: https://choosealicense.com/licenses/mit/
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---
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# phi-2-int4-ov
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* Model creator: [Microsoft](https://huggingface.co/microsoft)
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## Disclaimer
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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.
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license: mit
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license_link: https://choosealicense.com/licenses/mit/
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base_model:
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- microsoft/phi-2
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base_model_relation: quantized
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# phi-2-int4-ov
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* Model creator: [Microsoft](https://huggingface.co/microsoft)
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## Disclaimer
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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.
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