Instructions to use microsoft/Phi-3.5-mini-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use microsoft/Phi-3.5-mini-instruct with Transformers:

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

pipe = pipeline("text-generation", model="microsoft/Phi-3.5-mini-instruct", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3.5-mini-instruct", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use microsoft/Phi-3.5-mini-instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "microsoft/Phi-3.5-mini-instruct"
# 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-3.5-mini-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/microsoft/Phi-3.5-mini-instruct

SGLang

How to use microsoft/Phi-3.5-mini-instruct 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-3.5-mini-instruct" \
    --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-3.5-mini-instruct",
		"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-3.5-mini-instruct" \
        --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-3.5-mini-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use microsoft/Phi-3.5-mini-instruct with Docker Model Runner:
```
docker model run hf.co/microsoft/Phi-3.5-mini-instruct
```

nguyenbh

bsnelling commited on Dec 10, 2025

Commit

2fe1924

verified ·

1 Parent(s): a74e37c

Update README.md (#43)

Browse files

- Update README.md (94aba68bcf6b6b718c64b1632cc55a80ab9b6204)

Co-authored-by: Blake S <bsnelling@users.noreply.huggingface.co>

Files changed (1) hide show

README.md +4 -1

README.md CHANGED Viewed

@@ -473,4 +473,7 @@ The overall Korean benchmarks show that the Phi-3.5-Mini-Instruct with only 3.8B
 | HUMSS           |                   21.89 |                           19.92 |                   14    |    43.98 |         23.47 |         33.53 |           19.53 |
 | Other           |                   23.26 |                           27.27 |                   12.83 |    39.84 |         28.34 |         29.68 |           23.22 |
 | STEM            |                   20.5  |                           25.25 |                   12.75 |    40.25 |         23.25 |         27.25 |           19.75 |
-| **Overall**     |                   24.76 |                           25.73 |                   15.81 |    40.94 |         24.63 |         31.12 |           21.19 |

 | HUMSS           |                   21.89 |                           19.92 |                   14    |    43.98 |         23.47 |         33.53 |           19.53 |
 | Other           |                   23.26 |                           27.27 |                   12.83 |    39.84 |         28.34 |         29.68 |           23.22 |
 | STEM            |                   20.5  |                           25.25 |                   12.75 |    40.25 |         23.25 |         27.25 |           19.75 |
+| **Overall**     |                   24.76 |                           25.73 |                   15.81 |    40.94 |         24.63 |         31.12 |           21.19 |
+#### Data Summary
+https://huggingface.co/microsoft/Phi-3.5-mini-instruct/blob/main/data_summary_card.md