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liminerity/Liph.42 - GGUF

This repo contains GGUF format model files for liminerity/Liph.42.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template


Model file specification

Filename Quant type File Size Description
Liph.42-Q2_K.gguf Q2_K 1.110 GB smallest, significant quality loss - not recommended for most purposes
Liph.42-Q3_K_S.gguf Q3_K_S 1.251 GB very small, high quality loss
Liph.42-Q3_K_M.gguf Q3_K_M 1.426 GB very small, high quality loss
Liph.42-Q3_K_L.gguf Q3_K_L 1.575 GB small, substantial quality loss
Liph.42-Q4_0.gguf Q4_0 1.602 GB legacy; small, very high quality loss - prefer using Q3_K_M
Liph.42-Q4_K_S.gguf Q4_K_S 1.619 GB small, greater quality loss
Liph.42-Q4_K_M.gguf Q4_K_M 1.738 GB medium, balanced quality - recommended
Liph.42-Q5_0.gguf Q5_0 1.933 GB legacy; medium, balanced quality - prefer using Q4_K_M
Liph.42-Q5_K_S.gguf Q5_K_S 1.933 GB large, low quality loss - recommended
Liph.42-Q5_K_M.gguf Q5_K_M 2.003 GB large, very low quality loss - recommended
Liph.42-Q6_K.gguf Q6_K 2.285 GB very large, extremely low quality loss
Liph.42-Q8_0.gguf Q8_0 2.958 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/Liph.42-GGUF --include "Liph.42-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/Liph.42-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
205
GGUF
Model size
2.78B params
Architecture
phi2

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Inference API
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Model tree for tensorblock/Liph.42-GGUF

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liminerity/Liph.42
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