Instructions to use bartowski/phi-4-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use bartowski/phi-4-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="bartowski/phi-4-GGUF", filename="phi-4-IQ2_M.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 bartowski/phi-4-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf bartowski/phi-4-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf bartowski/phi-4-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf bartowski/phi-4-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf bartowski/phi-4-GGUF: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 bartowski/phi-4-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bartowski/phi-4-GGUF: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 bartowski/phi-4-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bartowski/phi-4-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/phi-4-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use bartowski/phi-4-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bartowski/phi-4-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bartowski/phi-4-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bartowski/phi-4-GGUF:Q4_K_M
- Ollama
How to use bartowski/phi-4-GGUF with Ollama:
ollama run hf.co/bartowski/phi-4-GGUF:Q4_K_M
- Unsloth Studio new
How to use bartowski/phi-4-GGUF 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 bartowski/phi-4-GGUF 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 bartowski/phi-4-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bartowski/phi-4-GGUF to start chatting
- Docker Model Runner
How to use bartowski/phi-4-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/phi-4-GGUF:Q4_K_M
- Lemonade
How to use bartowski/phi-4-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/phi-4-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.phi-4-GGUF-Q4_K_M
List all available models
lemonade list
llama runner process has terminated
I keep getting this error when i try running the model using ollama
Error: llama runner process has terminated: GGML_ASSERT(hparams.n_swa > 0) failed
any idea what the issue is?
You're running an older llama.cpp without Phi 4 support. You need at least version b4361 (Dec. 19th).
But im using ollama not llama.cpp
yeah ollama needs an update to support this, they haven't synced their fork yet
Ollama uses llama.cpp to actually run models. Looks like the latest Ollama release (0.5.4) only has llama.cpp b4327. The development version is currently on b4419, so this should be fixed in the next release.
@Aashraf995 Sorry about this. We're working on a pre-release with the updates, including a llama.cpp update, targeting end of the day for importing external models.
If you run the model using Ollama directly, we've made it work when we released the model:
ollama run phi4
One more reason to run Ollama.