llama2-13b.kor.v2-GGUF

tensorblock/llama2-13b.kor.v2-GGUF

llama2-13b.kor.v2-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. The card lists the license as llama2.

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Downloads · 30 days

2% of all-time downloads

All-time downloads

1.2K

Public

Repo size

98.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf4.9 GB · 100%

At a glance

Task: Text Generation
License: llama2
Access: Public
Created: Nov 14, 2024
Updated: Jan 27, 2026
SHA: 4de323ca

Base models

sanghwa-na/llama2-13b.kor.v2

Model card

From the Hugging Face model README

sanghwa-na/llama2-13b.kor.v2 - GGUF

This repo contains GGUF format model files for sanghwa-na/llama2-13b.kor.v2.

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

Our projects

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Model file specification

Filename	Quant type	File Size	Description
llama2-13b.kor.v2-Q2_K.gguf	Q2_K	4.521 GB	smallest, significant quality loss - not recommended for most purposes
llama2-13b.kor.v2-Q3_K_S.gguf	Q3_K_S	5.270 GB	very small, high quality loss
llama2-13b.kor.v2-Q3_K_M.gguf	Q3_K_M	5.903 GB	very small, high quality loss
llama2-13b.kor.v2-Q3_K_L.gguf	Q3_K_L	6.454 GB	small, substantial quality loss
llama2-13b.kor.v2-Q4_0.gguf	Q4_0	6.860 GB	legacy; small, very high quality loss - prefer using Q3_K_M
llama2-13b.kor.v2-Q4_K_S.gguf	Q4_K_S	6.913 GB	small, greater quality loss
llama2-13b.kor.v2-Q4_K_M.gguf	Q4_K_M	7.326 GB	medium, balanced quality - recommended
llama2-13b.kor.v2-Q5_0.gguf	Q5_0	8.356 GB	legacy; medium, balanced quality - prefer using Q4_K_M
llama2-13b.kor.v2-Q5_K_S.gguf	Q5_K_S	8.356 GB	large, low quality loss - recommended
llama2-13b.kor.v2-Q5_K_M.gguf	Q5_K_M	8.596 GB	large, very low quality loss - recommended
llama2-13b.kor.v2-Q6_K.gguf	Q6_K	9.946 GB	very large, extremely low quality loss
llama2-13b.kor.v2-Q8_0.gguf	Q8_0	12.881 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/llama2-13b.kor.v2-GGUF --include "llama2-13b.kor.v2-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/llama2-13b.kor.v2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
License: llama2
Languages: ko
Created: Nov 14, 2024
Updated: Jan 27, 2026