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tensorblock/
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-GGUF

Name: WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-GGUF
Availability: InStock

kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34

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kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34 - GGUF

This repo contains GGUF format model files for kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

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## Prompt template

Model file specification

Filename	Quant type	File Size	Description
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q2_K.gguf	Q2_K	4.079 GB	smallest, significant quality loss - not recommended for most purposes
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q3_K_S.gguf	Q3_K_S	4.747 GB	very small, high quality loss
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q3_K_M.gguf	Q3_K_M	5.278 GB	very small, high quality loss
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q3_K_L.gguf	Q3_K_L	5.733 GB	small, substantial quality loss
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q4_0.gguf	Q4_0	6.163 GB	legacy; small, very high quality loss - prefer using Q3_K_M
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q4_K_S.gguf	Q4_K_S	6.210 GB	small, greater quality loss
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q4_K_M.gguf	Q4_K_M	6.553 GB	medium, balanced quality - recommended
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q5_0.gguf	Q5_0	7.497 GB	legacy; medium, balanced quality - prefer using Q4_K_M
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q5_K_S.gguf	Q5_K_S	7.497 GB	large, low quality loss - recommended
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q5_K_M.gguf	Q5_K_M	7.697 GB	large, very low quality loss - recommended
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q6_K.gguf	Q6_K	8.913 GB	very large, extremely low quality loss
WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-Q8_0.gguf	Q8_0	11.544 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/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-GGUF --include "WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-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/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'