GGUF
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GGUF
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lightblue/karasu-1.1B - GGUF

This repo contains GGUF format model files for lightblue/karasu-1.1B.

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
karasu-1.1B-Q2_K.gguf Q2_K 0.432 GB smallest, significant quality loss - not recommended for most purposes
karasu-1.1B-Q3_K_S.gguf Q3_K_S 0.499 GB very small, high quality loss
karasu-1.1B-Q3_K_M.gguf Q3_K_M 0.548 GB very small, high quality loss
karasu-1.1B-Q3_K_L.gguf Q3_K_L 0.592 GB small, substantial quality loss
karasu-1.1B-Q4_0.gguf Q4_0 0.637 GB legacy; small, very high quality loss - prefer using Q3_K_M
karasu-1.1B-Q4_K_S.gguf Q4_K_S 0.640 GB small, greater quality loss
karasu-1.1B-Q4_K_M.gguf Q4_K_M 0.668 GB medium, balanced quality - recommended
karasu-1.1B-Q5_0.gguf Q5_0 0.766 GB legacy; medium, balanced quality - prefer using Q4_K_M
karasu-1.1B-Q5_K_S.gguf Q5_K_S 0.766 GB large, low quality loss - recommended
karasu-1.1B-Q5_K_M.gguf Q5_K_M 0.782 GB large, very low quality loss - recommended
karasu-1.1B-Q6_K.gguf Q6_K 0.903 GB very large, extremely low quality loss
karasu-1.1B-Q8_0.gguf Q8_0 1.170 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/karasu-1.1B-GGUF --include "karasu-1.1B-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/karasu-1.1B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
156
GGUF
Model size
1.1B params
Architecture
llama

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Datasets used to train tensorblock/karasu-1.1B-GGUF