Instructions to use mcm07/phi-4-GGUF-imatrix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use mcm07/phi-4-GGUF-imatrix 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 mcm07/phi-4-GGUF-imatrix 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 mcm07/phi-4-GGUF-imatrix to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mcm07/phi-4-GGUF-imatrix to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="mcm07/phi-4-GGUF-imatrix", max_seq_length=2048, )
llama.cpp and ik_llama.cpp imatrix Quantizations of unsloth/phi-4-GGUF
Imatrix and quantizations created from https://huggingface.co/unsloth/phi-4-GGUF/phi-4-F16.gguf
Imatrix dataset from bartowski1182
llama.cpp
phi-4-IQ2_S.gguf
phi-4-IQ3_XS.gguf
phi-4-Q4_K_M.gguf
phi-4-IQ4_XS.gguf
phi-4-IQ4_NL.gguf
ik_llama.cpp
phi-4-IQ4_KS.gguf
phi-4-IQ4_NL_R4.gguf
Credits
llama.cpp, ik_llama.cpp, bartowski, microsoft, unsloth, huggingface
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Base model
microsoft/phi-4