tensorblock/llama-2-ko-7b-GGUF

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beomi/llama-2-ko-7b - GGUF

This repo contains GGUF format model files for beomi/llama-2-ko-7b.

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

Prompt template

Model file specification

Filename	Quant type	File Size	Description
llama-2-ko-7b-Q2_K.gguf	Q2_K	2.422 GB	smallest, significant quality loss - not recommended for most purposes
llama-2-ko-7b-Q3_K_S.gguf	Q3_K_S	2.815 GB	very small, high quality loss
llama-2-ko-7b-Q3_K_M.gguf	Q3_K_M	3.140 GB	very small, high quality loss
llama-2-ko-7b-Q3_K_L.gguf	Q3_K_L	3.419 GB	small, substantial quality loss
llama-2-ko-7b-Q4_0.gguf	Q4_0	3.639 GB	legacy; small, very high quality loss - prefer using Q3_K_M
llama-2-ko-7b-Q4_K_S.gguf	Q4_K_S	3.668 GB	small, greater quality loss
llama-2-ko-7b-Q4_K_M.gguf	Q4_K_M	3.877 GB	medium, balanced quality - recommended
llama-2-ko-7b-Q5_0.gguf	Q5_0	4.415 GB	legacy; medium, balanced quality - prefer using Q4_K_M
llama-2-ko-7b-Q5_K_S.gguf	Q5_K_S	4.415 GB	large, low quality loss - recommended
llama-2-ko-7b-Q5_K_M.gguf	Q5_K_M	4.537 GB	large, very low quality loss - recommended
llama-2-ko-7b-Q6_K.gguf	Q6_K	5.240 GB	very large, extremely low quality loss
llama-2-ko-7b-Q8_0.gguf	Q8_0	6.786 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/llama-2-ko-7b-GGUF --include "llama-2-ko-7b-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/llama-2-ko-7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'