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OPEN-SOLAR-KO-10.7B-dpo-v1-GGUF

Text Generation
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metadata
license: cc-by-nc-4.0
language:
  - ko
library_name: transformers
pipeline_tag: text-generation
tags:
  - TensorBlock
  - GGUF
base_model: GAI-LLM/OPEN-SOLAR-KO-10.7B-dpo-v1
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GAI-LLM/OPEN-SOLAR-KO-10.7B-dpo-v1 - GGUF

This repo contains GGUF format model files for GAI-LLM/OPEN-SOLAR-KO-10.7B-dpo-v1.

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
OPEN-SOLAR-KO-10.7B-dpo-v1-Q2_K.gguf Q2_K 4.072 GB smallest, significant quality loss - not recommended for most purposes
OPEN-SOLAR-KO-10.7B-dpo-v1-Q3_K_S.gguf Q3_K_S 4.740 GB very small, high quality loss
OPEN-SOLAR-KO-10.7B-dpo-v1-Q3_K_M.gguf Q3_K_M 5.271 GB very small, high quality loss
OPEN-SOLAR-KO-10.7B-dpo-v1-Q3_K_L.gguf Q3_K_L 5.726 GB small, substantial quality loss
OPEN-SOLAR-KO-10.7B-dpo-v1-Q4_0.gguf Q4_0 6.155 GB legacy; small, very high quality loss - prefer using Q3_K_M
OPEN-SOLAR-KO-10.7B-dpo-v1-Q4_K_S.gguf Q4_K_S 6.202 GB small, greater quality loss
OPEN-SOLAR-KO-10.7B-dpo-v1-Q4_K_M.gguf Q4_K_M 6.545 GB medium, balanced quality - recommended
OPEN-SOLAR-KO-10.7B-dpo-v1-Q5_0.gguf Q5_0 7.488 GB legacy; medium, balanced quality - prefer using Q4_K_M
OPEN-SOLAR-KO-10.7B-dpo-v1-Q5_K_S.gguf Q5_K_S 7.488 GB large, low quality loss - recommended
OPEN-SOLAR-KO-10.7B-dpo-v1-Q5_K_M.gguf Q5_K_M 7.688 GB large, very low quality loss - recommended
OPEN-SOLAR-KO-10.7B-dpo-v1-Q6_K.gguf Q6_K 8.904 GB very large, extremely low quality loss
OPEN-SOLAR-KO-10.7B-dpo-v1-Q8_0.gguf Q8_0 11.532 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/OPEN-SOLAR-KO-10.7B-dpo-v1-GGUF --include "OPEN-SOLAR-KO-10.7B-dpo-v1-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/OPEN-SOLAR-KO-10.7B-dpo-v1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'