Instructions to use calcuis/phi4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use calcuis/phi4 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="calcuis/phi4",
	filename="phi4-f16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use calcuis/phi4 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf calcuis/phi4:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf calcuis/phi4:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf calcuis/phi4:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf calcuis/phi4:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf calcuis/phi4:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf calcuis/phi4:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf calcuis/phi4:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf calcuis/phi4:Q4_K_M

Use Docker

docker model run hf.co/calcuis/phi4:Q4_K_M

LM Studio
Jan

vLLM

How to use calcuis/phi4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "calcuis/phi4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "calcuis/phi4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/calcuis/phi4:Q4_K_M

Ollama
How to use calcuis/phi4 with Ollama:
```
ollama run hf.co/calcuis/phi4:Q4_K_M
```

Unsloth Studio new

How to use calcuis/phi4 with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for calcuis/phi4 to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for calcuis/phi4 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for calcuis/phi4 to start chatting

Docker Model Runner
How to use calcuis/phi4 with Docker Model Runner:
```
docker model run hf.co/calcuis/phi4:Q4_K_M
```

Lemonade

How to use calcuis/phi4 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull calcuis/phi4:Q4_K_M

Run and chat with the model

lemonade run user.phi4-Q4_K_M

List all available models

lemonade list

calcuis commited on Jan 22, 2025

Commit

4c708f2

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1 Parent(s): 8fded31

Update README.md

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@@ -22,9 +22,9 @@ use any connector to interact with gguf file(s), i.e., [gguf-connector](https://
 ### reference
 - base model: microsoft/[phi-4](https://huggingface.co/microsoft/phi-4)
-### appendices: model summary and quality
-#### model summary (by microsoft)
 |                         |                                                                               |
 |-------------------------|-------------------------------------------------------------------------------|
@@ -42,7 +42,7 @@ use any connector to interact with gguf file(s), i.e., [gguf-connector](https://
 | **Release date**        | December 12, 2024                                                             |
 | **License**             | MIT                                                                         |
-#### model quality (by microsoft)
 to understand the capabilities, we compare `phi-4` with a set of models over OpenAI’s SimpleEval benchmark.

 ### reference
 - base model: microsoft/[phi-4](https://huggingface.co/microsoft/phi-4)
+### appendices: model summary and quality (by microsoft)
+#### model summary
 |                         |                                                                               |
 |-------------------------|-------------------------------------------------------------------------------|
 | **Release date**        | December 12, 2024                                                             |
 | **License**             | MIT                                                                         |
+#### model quality
 to understand the capabilities, we compare `phi-4` with a set of models over OpenAI’s SimpleEval benchmark.