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Sponsored by
YouArt
tensorblock / phi-4-GGUF
Model's Last Updated: January 09 2025
text-generation
Introduction of phi-4-GGUF
Model Details of phi-4-GGUF
Feedback and support: TensorBlock's Twitter/X , Telegram Group and Discord server
microsoft/phi-4 - GGUF
This repo contains GGUF format model files for microsoft/phi-4 .
The files were quantized using machines provided by TensorBlock , and they are compatible with llama.cpp as of commit b4446 .
Prompt template
<|im_start|>system<|im_sep|>{system_prompt}<|im_end|><|im_start|>user<|im_sep|>{prompt}<|im_end|><|im_start|>assistant<|im_sep|>
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| phi-4-Q2_K.gguf | Q2_K | 5.547 GB | smallest, significant quality loss - not recommended for most purposes |
| phi-4-Q3_K_S.gguf | Q3_K_S | 6.505 GB | very small, high quality loss |
| phi-4-Q3_K_M.gguf | Q3_K_M | 7.363 GB | very small, high quality loss |
| phi-4-Q3_K_L.gguf | Q3_K_L | 7.930 GB | small, substantial quality loss |
| phi-4-Q4_0.gguf | Q4_0 | 8.383 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| phi-4-Q4_K_S.gguf | Q4_K_S | 8.441 GB | small, greater quality loss |
| phi-4-Q4_K_M.gguf | Q4_K_M | 9.053 GB | medium, balanced quality - recommended |
| phi-4-Q5_0.gguf | Q5_0 | 10.152 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| phi-4-Q5_K_S.gguf | Q5_K_S | 10.152 GB | large, low quality loss - recommended |
| phi-4-Q5_K_M.gguf | Q5_K_M | 10.604 GB | large, very low quality loss - recommended |
| phi-4-Q6_K.gguf | Q6_K | 12.030 GB | very large, extremely low quality loss |
| phi-4-Q8_0.gguf | Q8_0 | 15.581 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/phi-4-GGUF --include "phi-4-Q2_K.gguf" --local-dir MY_LOCAL_DIR
If you wanna download multiple model files with a pattern (e.g.,
*Q4_K*gguf
), you can try:
huggingface-cli download tensorblock/phi-4-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Runs of tensorblock phi-4-GGUF on huggingface.co
611
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0
24-hour runs
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3-day runs
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More Information About phi-4-GGUF huggingface.co Model
Url of phi-4-GGUF
phi-4-GGUF huggingface.co Url
Provider of phi-4-GGUF huggingface.co
Other API from tensorblock
Updated:July 09 2025
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