Instructions to use microsoft/phi-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/phi-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="microsoft/phi-2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2") model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use microsoft/phi-2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "microsoft/phi-2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "microsoft/phi-2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/microsoft/phi-2
- SGLang
How to use microsoft/phi-2 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 "microsoft/phi-2" \ --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": "microsoft/phi-2", "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 "microsoft/phi-2" \ --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": "microsoft/phi-2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use microsoft/phi-2 with Docker Model Runner:
docker model run hf.co/microsoft/phi-2
Error when I load the model
I got the 'PhiConfig' object has no attribute 'n_embd', what should I do?
I am trying to load it from huggingface and convert the trained model into an RKLLM format model, but the error occurred. I think it might caused by the update, can anyone tell me the version of phi-2 without this update?
THx🙏
I have finished this by using the version 834565c. I think most developers haven't updated their code to convert the latest model. Hope there can be more notes on the model card to inform people about this update.
This is my code, the code example is from airockchip rkllm https://github.com/airockchip/rknn-llm/tree/main :
from rkllm.api import RKLLM
modelpath = './phi-2'
llm = RKLLM()
# Load model
ret = llm.load_huggingface(model = modelpath)
if ret != 0:
print('Load model failed!')
exit(ret)
# Build model
ret = llm.build(do_quantization=True, optimization_level=1, quantized_dtype='w8a8', target_platform='rk3588')
if ret != 0:
print('Build model failed!')
exit(ret)
# Export rknn model
ret = llm.export_rkllm("./phi.rkllm")
if ret != 0:
print('Export model failed!')
exit(ret)