Instructions to use 1bit-MONSTER/phi-4-GGUF 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 1bit-MONSTER/phi-4-GGUF 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 1bit-MONSTER/phi-4-GGUF # Run inference directly in the terminal: llama cli -hf 1bit-MONSTER/phi-4-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf 1bit-MONSTER/phi-4-GGUF # Run inference directly in the terminal: llama cli -hf 1bit-MONSTER/phi-4-GGUF
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 1bit-MONSTER/phi-4-GGUF # Run inference directly in the terminal: ./llama-cli -hf 1bit-MONSTER/phi-4-GGUF
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 1bit-MONSTER/phi-4-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf 1bit-MONSTER/phi-4-GGUF
Use Docker
docker model run hf.co/1bit-MONSTER/phi-4-GGUF
- LM Studio
- Jan
- Ollama
How to use 1bit-MONSTER/phi-4-GGUF with Ollama:
ollama run hf.co/1bit-MONSTER/phi-4-GGUF
- Unsloth Desktop
- Docker Model Runner
How to use 1bit-MONSTER/phi-4-GGUF with Docker Model Runner:
docker model run hf.co/1bit-MONSTER/phi-4-GGUF
- Lemonade
How to use 1bit-MONSTER/phi-4-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull 1bit-MONSTER/phi-4-GGUF
Run and chat with the model
lemonade run user.phi-4-GGUF-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
phi-4 โ GGUF (Q4_K_M)
Microsoft's own Q4_K_M GGUF, re-hosted with measured performance for the 1bit engine on Strix Halo.
Contents
phi-4-Q4_K.gguf(Q4_K_M)
Measured performance (Strix Halo, Vulkan)
pp512: 543 tok/s ยท tg128: 19.4 tok/s
Running it
1bit serve -m phi-4-Q4_K.gguf --device vulkan
Attribution
- Model and quantization: microsoft/phi-4-gguf, MIT.
- License: MIT, inherited from the base model.
- Downloads last month
- 68
Hardware compatibility
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Model tree for 1bit-MONSTER/phi-4-GGUF
Base model
microsoft/phi-4