Instructions to use NijuNix/Phi-4-mini-instruct-implementationIntentions-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NijuNix/Phi-4-mini-instruct-implementationIntentions-qa with Transformers:

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

pipe = pipeline("text-generation", model="NijuNix/Phi-4-mini-instruct-implementationIntentions-qa", 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("NijuNix/Phi-4-mini-instruct-implementationIntentions-qa", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("NijuNix/Phi-4-mini-instruct-implementationIntentions-qa", trust_remote_code=True, device_map="auto")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use NijuNix/Phi-4-mini-instruct-implementationIntentions-qa with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/NijuNix/Phi-4-mini-instruct-implementationIntentions-qa

SGLang

How to use NijuNix/Phi-4-mini-instruct-implementationIntentions-qa 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 "NijuNix/Phi-4-mini-instruct-implementationIntentions-qa" \
    --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": "NijuNix/Phi-4-mini-instruct-implementationIntentions-qa",
		"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 "NijuNix/Phi-4-mini-instruct-implementationIntentions-qa" \
        --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": "NijuNix/Phi-4-mini-instruct-implementationIntentions-qa",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use NijuNix/Phi-4-mini-instruct-implementationIntentions-qa with Docker Model Runner:
```
docker model run hf.co/NijuNix/Phi-4-mini-instruct-implementationIntentions-qa
```

Phi-4-mini-instruct-implementationIntentions-qa

Commit History

Upload tokenizer

79740cc
verified

Niju Nicholas commited on Nov 17, 2025

Upload Phi3ForCausalLM

68a2c52
verified

Niju Nicholas commited on Nov 17, 2025

initial commit

578904f
verified

Niju Nicholas commited on Nov 17, 2025

Commit History

Upload tokenizer 79740cc verified

Upload Phi3ForCausalLM 68a2c52 verified

initial commit 578904f verified

Upload tokenizer

79740cc
verified

Upload Phi3ForCausalLM

68a2c52
verified

initial commit

578904f
verified