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SicariusSicariiStuff/Tenebra_30B_Alpha01_FP16 - GGUF

This repo contains GGUF format model files for SicariusSicariiStuff/Tenebra_30B_Alpha01_FP16.

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
Tenebra_30B_Alpha01_FP16-Q2_K.gguf Q2_K 12.049 GB smallest, significant quality loss - not recommended for most purposes
Tenebra_30B_Alpha01_FP16-Q3_K_S.gguf Q3_K_S 14.064 GB very small, high quality loss
Tenebra_30B_Alpha01_FP16-Q3_K_M.gguf Q3_K_M 15.776 GB very small, high quality loss
Tenebra_30B_Alpha01_FP16-Q3_K_L.gguf Q3_K_L 17.280 GB small, substantial quality loss
Tenebra_30B_Alpha01_FP16-Q4_0.gguf Q4_0 18.356 GB legacy; small, very high quality loss - prefer using Q3_K_M
Tenebra_30B_Alpha01_FP16-Q4_K_S.gguf Q4_K_S 18.482 GB small, greater quality loss
Tenebra_30B_Alpha01_FP16-Q4_K_M.gguf Q4_K_M 19.621 GB medium, balanced quality - recommended
Tenebra_30B_Alpha01_FP16-Q5_0.gguf Q5_0 22.395 GB legacy; medium, balanced quality - prefer using Q4_K_M
Tenebra_30B_Alpha01_FP16-Q5_K_S.gguf Q5_K_S 22.395 GB large, low quality loss - recommended
Tenebra_30B_Alpha01_FP16-Q5_K_M.gguf Q5_K_M 23.047 GB large, very low quality loss - recommended
Tenebra_30B_Alpha01_FP16-Q6_K.gguf Q6_K 26.687 GB very large, extremely low quality loss
Tenebra_30B_Alpha01_FP16-Q8_0.gguf Q8_0 34.565 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/Tenebra_30B_Alpha01_FP16-GGUF --include "Tenebra_30B_Alpha01_FP16-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/Tenebra_30B_Alpha01_FP16-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
93
GGUF
Model size
32.5B params
Architecture
llama

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Inference API
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