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metadata
license: cc-by-nc-sa-4.0
datasets:
  - Cartinoe5930/KoRAE_filtered_12k
language:
  - ko
library_name: transformers
base_model: Cartinoe5930/KoRAE-13b-DPO
tags:
  - TensorBlock
  - GGUF
TensorBlock

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Cartinoe5930/KoRAE-13b-DPO - GGUF

This repo contains GGUF format model files for Cartinoe5930/KoRAE-13b-DPO.

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

Prompt template 

### System:
{system_prompt}</s>

### User:
{prompt}</s>

### Assistant:

Model file specification

Filename Quant type File Size Description
KoRAE-13b-DPO-Q2_K.gguf Q2_K 4.600 GB smallest, significant quality loss - not recommended for most purposes
KoRAE-13b-DPO-Q3_K_S.gguf Q3_K_S 5.356 GB very small, high quality loss
KoRAE-13b-DPO-Q3_K_M.gguf Q3_K_M 5.988 GB very small, high quality loss
KoRAE-13b-DPO-Q3_K_L.gguf Q3_K_L 6.539 GB small, substantial quality loss
KoRAE-13b-DPO-Q4_0.gguf Q4_0 6.955 GB legacy; small, very high quality loss - prefer using Q3_K_M
KoRAE-13b-DPO-Q4_K_S.gguf Q4_K_S 7.008 GB small, greater quality loss
KoRAE-13b-DPO-Q4_K_M.gguf Q4_K_M 7.421 GB medium, balanced quality - recommended
KoRAE-13b-DPO-Q5_0.gguf Q5_0 8.459 GB legacy; medium, balanced quality - prefer using Q4_K_M
KoRAE-13b-DPO-Q5_K_S.gguf Q5_K_S 8.459 GB large, low quality loss - recommended
KoRAE-13b-DPO-Q5_K_M.gguf Q5_K_M 8.699 GB large, very low quality loss - recommended
KoRAE-13b-DPO-Q6_K.gguf Q6_K 10.058 GB very large, extremely low quality loss
KoRAE-13b-DPO-Q8_0.gguf Q8_0 13.027 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/KoRAE-13b-DPO-GGUF --include "KoRAE-13b-DPO-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/KoRAE-13b-DPO-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'