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ludobico/Ko-Llama3-Luxia-8B-it - GGUF

This repo contains GGUF format model files for ludobico/Ko-Llama3-Luxia-8B-it.

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

Prompt template

{system_prompt}{prompt}

Model file specification

Filename Quant type File Size Description
Ko-Llama3-Luxia-8B-it-Q2_K.gguf Q2_K 3.263 GB smallest, significant quality loss - not recommended for most purposes
Ko-Llama3-Luxia-8B-it-Q3_K_S.gguf Q3_K_S 3.755 GB very small, high quality loss
Ko-Llama3-Luxia-8B-it-Q3_K_M.gguf Q3_K_M 4.110 GB very small, high quality loss
Ko-Llama3-Luxia-8B-it-Q3_K_L.gguf Q3_K_L 4.413 GB small, substantial quality loss
Ko-Llama3-Luxia-8B-it-Q4_0.gguf Q4_0 4.761 GB legacy; small, very high quality loss - prefer using Q3_K_M
Ko-Llama3-Luxia-8B-it-Q4_K_S.gguf Q4_K_S 4.793 GB small, greater quality loss
Ko-Llama3-Luxia-8B-it-Q4_K_M.gguf Q4_K_M 5.021 GB medium, balanced quality - recommended
Ko-Llama3-Luxia-8B-it-Q5_0.gguf Q5_0 5.708 GB legacy; medium, balanced quality - prefer using Q4_K_M
Ko-Llama3-Luxia-8B-it-Q5_K_S.gguf Q5_K_S 5.708 GB large, low quality loss - recommended
Ko-Llama3-Luxia-8B-it-Q5_K_M.gguf Q5_K_M 5.842 GB large, very low quality loss - recommended
Ko-Llama3-Luxia-8B-it-Q6_K.gguf Q6_K 6.715 GB very large, extremely low quality loss
Ko-Llama3-Luxia-8B-it-Q8_0.gguf Q8_0 8.694 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/Ko-Llama3-Luxia-8B-it-GGUF --include "Ko-Llama3-Luxia-8B-it-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/Ko-Llama3-Luxia-8B-it-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
51
GGUF
Model size
8.17B params
Architecture
llama

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8-bit

Inference API
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