Instructions to use cortexso/phi-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use cortexso/phi-4 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf cortexso/phi-4:Q4_K_M # Run inference directly in the terminal: llama cli -hf cortexso/phi-4:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf cortexso/phi-4:Q4_K_M # Run inference directly in the terminal: llama cli -hf cortexso/phi-4: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 cortexso/phi-4:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf cortexso/phi-4: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 cortexso/phi-4:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf cortexso/phi-4:Q4_K_M
Use Docker
docker model run hf.co/cortexso/phi-4:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use cortexso/phi-4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cortexso/phi-4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cortexso/phi-4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/cortexso/phi-4:Q4_K_M
- Ollama
How to use cortexso/phi-4 with Ollama:
ollama run hf.co/cortexso/phi-4:Q4_K_M
- Unsloth Studio
How to use cortexso/phi-4 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 cortexso/phi-4 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 cortexso/phi-4 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for cortexso/phi-4 to start chatting
- Atomic Chat new
- Docker Model Runner
How to use cortexso/phi-4 with Docker Model Runner:
docker model run hf.co/cortexso/phi-4:Q4_K_M
- Lemonade
How to use cortexso/phi-4 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cortexso/phi-4:Q4_K_M
Run and chat with the model
lemonade run user.phi-4-Q4_K_M
List all available models
lemonade list
File size: 1,551 Bytes
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license: mit
pipeline_tag: text-generation
tags:
- cortex.cpp
---
## Overview
Phi-4 model, a state-of-the-art 14B parameter Transformer designed for advanced reasoning, conversational AI, and high-quality text generation. Built on a mix of synthetic datasets, filtered public domain content, academic books, and Q&A datasets, Phi-4 ensures exceptional performance through data quality and alignment. It features a 16K token context length, trained on 9.8T tokens over 21 days using 1920 H100-80G GPUs. Phi-4 underwent rigorous fine-tuning and preference optimization to enhance instruction adherence and safety. Released on December 12, 2024, it represents a static model with data cutoff as of June 2024, suitable for diverse applications in research and dialogue systems.
## Variants
| No | Variant | Cortex CLI command |
| --- | --- | --- |
| 1 | [Phi-4-14b](https://huggingface.co/cortexso/phi-4/tree/14b) | `cortex run phi-4:14b` |
## Use it with Jan (UI)
1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
2. Use in Jan model Hub:
```text
cortexso/phi-4
```
## Use it with Cortex (CLI)
1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
2. Run the model with command:
```bash
cortex run phi-4
```
## Credits
- **Author:** Microsoft Research
- **Converter:** [Homebrew](https://www.homebrew.ltd/)
- **Original License:** [License](https://huggingface.co/microsoft/phi-4/blob/main/LICENSE)
- **Papers:** [Phi-4 Technical Report](https://arxiv.org/pdf/2412.08905) |