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KnutJaegersberg/Deacon-20B - GGUF

This repo contains GGUF format model files for KnutJaegersberg/Deacon-20B.

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

Prompt template

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Model file specification

Filename Quant type File Size Description
Deacon-20B-Q2_K.gguf Q2_K 7.085 GB smallest, significant quality loss - not recommended for most purposes
Deacon-20B-Q3_K_S.gguf Q3_K_S 8.236 GB very small, high quality loss
Deacon-20B-Q3_K_M.gguf Q3_K_M 9.181 GB very small, high quality loss
Deacon-20B-Q3_K_L.gguf Q3_K_L 10.011 GB small, substantial quality loss
Deacon-20B-Q4_0.gguf Q4_0 10.655 GB legacy; small, very high quality loss - prefer using Q3_K_M
Deacon-20B-Q4_K_S.gguf Q4_K_S 10.725 GB small, greater quality loss
Deacon-20B-Q4_K_M.gguf Q4_K_M 11.354 GB medium, balanced quality - recommended
Deacon-20B-Q5_0.gguf Q5_0 12.932 GB legacy; medium, balanced quality - prefer using Q4_K_M
Deacon-20B-Q5_K_S.gguf Q5_K_S 12.932 GB large, low quality loss - recommended
Deacon-20B-Q5_K_M.gguf Q5_K_M 13.292 GB large, very low quality loss - recommended
Deacon-20B-Q6_K.gguf Q6_K 15.351 GB very large, extremely low quality loss
Deacon-20B-Q8_0.gguf Q8_0 19.882 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/Deacon-20B-GGUF --include "Deacon-20B-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/Deacon-20B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
3
GGUF
Model size
20.1B params
Architecture
llama

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6-bit

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Inference Examples
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Model tree for tensorblock/Deacon-20B-GGUF

Quantized
(3)
this model

Dataset used to train tensorblock/Deacon-20B-GGUF

Evaluation results