morriszms's picture
Update README.md
ee9d52c verified
|
raw
history blame
4.75 kB
metadata
license: cc-by-nc-4.0
language:
  - ko
base_model: Changgil/K2S3-SOLAR-11b-v1.0
tags:
  - TensorBlock
  - GGUF
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

Changgil/K2S3-SOLAR-11b-v1.0 - GGUF

This repo contains GGUF format model files for Changgil/K2S3-SOLAR-11b-v1.0.

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

Prompt template


Model file specification

Filename Quant type File Size Description
K2S3-SOLAR-11b-v1.0-Q2_K.gguf Q2_K 3.829 GB smallest, significant quality loss - not recommended for most purposes
K2S3-SOLAR-11b-v1.0-Q3_K_S.gguf Q3_K_S 4.454 GB very small, high quality loss
K2S3-SOLAR-11b-v1.0-Q3_K_M.gguf Q3_K_M 4.948 GB very small, high quality loss
K2S3-SOLAR-11b-v1.0-Q3_K_L.gguf Q3_K_L 5.372 GB small, substantial quality loss
K2S3-SOLAR-11b-v1.0-Q4_0.gguf Q4_0 5.776 GB legacy; small, very high quality loss - prefer using Q3_K_M
K2S3-SOLAR-11b-v1.0-Q4_K_S.gguf Q4_K_S 5.819 GB small, greater quality loss
K2S3-SOLAR-11b-v1.0-Q4_K_M.gguf Q4_K_M 6.139 GB medium, balanced quality - recommended
K2S3-SOLAR-11b-v1.0-Q5_0.gguf Q5_0 7.021 GB legacy; medium, balanced quality - prefer using Q4_K_M
K2S3-SOLAR-11b-v1.0-Q5_K_S.gguf Q5_K_S 7.021 GB large, low quality loss - recommended
K2S3-SOLAR-11b-v1.0-Q5_K_M.gguf Q5_K_M 7.208 GB large, very low quality loss - recommended
K2S3-SOLAR-11b-v1.0-Q6_K.gguf Q6_K 8.344 GB very large, extremely low quality loss
K2S3-SOLAR-11b-v1.0-Q8_0.gguf Q8_0 10.807 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/K2S3-SOLAR-11b-v1.0-GGUF --include "K2S3-SOLAR-11b-v1.0-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/K2S3-SOLAR-11b-v1.0-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'