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kyujinpy/Sakura-SOLAR-Instruct - GGUF

This repo contains GGUF format model files for kyujinpy/Sakura-SOLAR-Instruct.

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}

### User:
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### Assistant:

Model file specification

Filename Quant type File Size Description
Sakura-SOLAR-Instruct-Q2_K.gguf Q2_K 3.728 GB smallest, significant quality loss - not recommended for most purposes
Sakura-SOLAR-Instruct-Q3_K_S.gguf Q3_K_S 4.344 GB very small, high quality loss
Sakura-SOLAR-Instruct-Q3_K_M.gguf Q3_K_M 4.839 GB very small, high quality loss
Sakura-SOLAR-Instruct-Q3_K_L.gguf Q3_K_L 5.263 GB small, substantial quality loss
Sakura-SOLAR-Instruct-Q4_0.gguf Q4_0 5.655 GB legacy; small, very high quality loss - prefer using Q3_K_M
Sakura-SOLAR-Instruct-Q4_K_S.gguf Q4_K_S 5.698 GB small, greater quality loss
Sakura-SOLAR-Instruct-Q4_K_M.gguf Q4_K_M 6.018 GB medium, balanced quality - recommended
Sakura-SOLAR-Instruct-Q5_0.gguf Q5_0 6.889 GB legacy; medium, balanced quality - prefer using Q4_K_M
Sakura-SOLAR-Instruct-Q5_K_S.gguf Q5_K_S 6.889 GB large, low quality loss - recommended
Sakura-SOLAR-Instruct-Q5_K_M.gguf Q5_K_M 7.076 GB large, very low quality loss - recommended
Sakura-SOLAR-Instruct-Q6_K.gguf Q6_K 8.200 GB very large, extremely low quality loss
Sakura-SOLAR-Instruct-Q8_0.gguf Q8_0 10.621 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/Sakura-SOLAR-Instruct-GGUF --include "Sakura-SOLAR-Instruct-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/Sakura-SOLAR-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
251
GGUF
Model size
10.7B params
Architecture
llama

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Inference Examples
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Quantized
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Evaluation results