Instructions to use microsoft/Phi-3-mini-4k-instruct-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use microsoft/Phi-3-mini-4k-instruct-onnx with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="microsoft/Phi-3-mini-4k-instruct-onnx", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("microsoft/Phi-3-mini-4k-instruct-onnx", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use microsoft/Phi-3-mini-4k-instruct-onnx with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "microsoft/Phi-3-mini-4k-instruct-onnx"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "microsoft/Phi-3-mini-4k-instruct-onnx",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/microsoft/Phi-3-mini-4k-instruct-onnx

SGLang

How to use microsoft/Phi-3-mini-4k-instruct-onnx 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-3-mini-4k-instruct-onnx" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "microsoft/Phi-3-mini-4k-instruct-onnx",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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-3-mini-4k-instruct-onnx" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "microsoft/Phi-3-mini-4k-instruct-onnx",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use microsoft/Phi-3-mini-4k-instruct-onnx with Docker Model Runner:
```
docker model run hf.co/microsoft/Phi-3-mini-4k-instruct-onnx
```

syntax error while parsing value

by Priyanka1794 - opened May 22, 2024

Discussion

Priyanka1794

May 22, 2024

In latest update facing below issue

FATAL EXCEPTION: pool-3-thread-1
Process: ai.onnxruntime.genai.demo, PID: 3839
java.lang.RuntimeException: ai.onnxruntime.genai.demo.GenAIException: [json.exception.parse_error.101] parse error at line 2, column 1: syntax error while parsing value - invalid literal; last read: '<U+000A><U+000E>'
at ai.onnxruntime.genai.demo.ModelDownloader.downloadModel(ModelDownloader.java:62)
at ai.onnxruntime.genai.demo.MainActivity.lambda$downloadModels$0$ai-onnxruntime-genai-demo-MainActivity(MainActivity.java:152)
at ai.onnxruntime.genai.demo.MainActivity$$ExternalSyntheticLambda1.run(Unknown Source:12)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1137)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:637)
at java.lang.Thread.run(Thread.java:1012)
Caused by: ai.onnxruntime.genai.demo.GenAIException: [json.exception.parse_error.101] parse error at line 2, column 1: syntax error while parsing value - invalid literal; last read: '<U+000A><U+000E>'
at ai.onnxruntime.genai.demo.GenAIWrapper.createTokenizer(Native Method)
at ai.onnxruntime.genai.demo.GenAIWrapper.(GenAIWrapper.java:23)
at ai.onnxruntime.genai.demo.MainActivity.createGenAIWrapper(MainActivity.java:170)
at ai.onnxruntime.genai.demo.MainActivity.access$500(MainActivity.java:23)
at ai.onnxruntime.genai.demo.MainActivity$2.onDownloadComplete(MainActivity.java:158)
at ai.onnxruntime.genai.demo.ModelDownloader.downloadModel(ModelDownloader.java:50)
at ai.onnxruntime.genai.demo.MainActivity.lambda$downloadModels$0$ai-onnxruntime-genai-demo-MainActivity(MainActivity.java:152)
at ai.onnxruntime.genai.demo.MainActivity$$ExternalSyntheticLambda1.run(Unknown Source:12)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1137)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:637)
at java.lang.Thread.run(Thread.java:1012)

skottmckay

Jun 5, 2024

Should have been fixed by https://github.com/microsoft/onnxruntime-inference-examples/pull/435

Priyanka1794

Jun 5, 2024

Yes It's working now.
Thank you.

Priyanka1794 changed discussion status to closed Jun 5, 2024

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