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Macropodus/macbert4mdcspell_v1 - GGUF

This repo contains GGUF format model files for Macropodus/macbert4mdcspell_v1.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4823.

Prompt template

Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename Quant type File Size Description
macbert4mdcspell_v1-Q2_K.gguf Q2_K 0.048 GB smallest, significant quality loss - not recommended for most purposes
macbert4mdcspell_v1-Q3_K_S.gguf Q3_K_S 0.052 GB very small, high quality loss
macbert4mdcspell_v1-Q3_K_M.gguf Q3_K_M 0.058 GB very small, high quality loss
macbert4mdcspell_v1-Q3_K_L.gguf Q3_K_L 0.063 GB small, substantial quality loss
macbert4mdcspell_v1-Q4_0.gguf Q4_0 0.064 GB legacy; small, very high quality loss - prefer using Q3_K_M
macbert4mdcspell_v1-Q4_K_S.gguf Q4_K_S 0.064 GB small, greater quality loss
macbert4mdcspell_v1-Q4_K_M.gguf Q4_K_M 0.068 GB medium, balanced quality - recommended
macbert4mdcspell_v1-Q5_0.gguf Q5_0 0.074 GB legacy; medium, balanced quality - prefer using Q4_K_M
macbert4mdcspell_v1-Q5_K_S.gguf Q5_K_S 0.074 GB large, low quality loss - recommended
macbert4mdcspell_v1-Q5_K_M.gguf Q5_K_M 0.076 GB large, very low quality loss - recommended
macbert4mdcspell_v1-Q6_K.gguf Q6_K 0.085 GB very large, extremely low quality loss
macbert4mdcspell_v1-Q8_0.gguf Q8_0 0.110 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/macbert4mdcspell_v1-GGUF --include "macbert4mdcspell_v1-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/macbert4mdcspell_v1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
132
GGUF
Model size
102M params
Architecture
bert

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