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metadata
license: mit
language:
  - de
  - en
base_model: VAGOsolutions/SauerkrautLM-Phi-3-medium
tags:
  - TensorBlock
  - GGUF
TensorBlock

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VAGOsolutions/SauerkrautLM-Phi-3-medium - GGUF

This repo contains GGUF format model files for VAGOsolutions/SauerkrautLM-Phi-3-medium.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template

<|user|>
{prompt}<|end|>
<|assistant|>

Model file specification

Filename Quant type File Size Description
SauerkrautLM-Phi-3-medium-Q2_K.gguf Q2_K 4.847 GB smallest, significant quality loss - not recommended for most purposes
SauerkrautLM-Phi-3-medium-Q3_K_S.gguf Q3_K_S 5.648 GB very small, high quality loss
SauerkrautLM-Phi-3-medium-Q3_K_M.gguf Q3_K_M 6.287 GB very small, high quality loss
SauerkrautLM-Phi-3-medium-Q3_K_L.gguf Q3_K_L 6.844 GB small, substantial quality loss
SauerkrautLM-Phi-3-medium-Q4_0.gguf Q4_0 7.355 GB legacy; small, very high quality loss - prefer using Q3_K_M
SauerkrautLM-Phi-3-medium-Q4_K_S.gguf Q4_K_S 7.411 GB small, greater quality loss
SauerkrautLM-Phi-3-medium-Q4_K_M.gguf Q4_K_M 7.827 GB medium, balanced quality - recommended
SauerkrautLM-Phi-3-medium-Q5_0.gguf Q5_0 8.961 GB legacy; medium, balanced quality - prefer using Q4_K_M
SauerkrautLM-Phi-3-medium-Q5_K_S.gguf Q5_K_S 8.961 GB large, low quality loss - recommended
SauerkrautLM-Phi-3-medium-Q5_K_M.gguf Q5_K_M 9.204 GB large, very low quality loss - recommended
SauerkrautLM-Phi-3-medium-Q6_K.gguf Q6_K 10.667 GB very large, extremely low quality loss
SauerkrautLM-Phi-3-medium-Q8_0.gguf Q8_0 13.816 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/SauerkrautLM-Phi-3-medium-GGUF --include "SauerkrautLM-Phi-3-medium-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/SauerkrautLM-Phi-3-medium-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'