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saltlux/luxia-21.4b-alignment-v1.0 - GGUF

This repo contains GGUF format model files for saltlux/luxia-21.4b-alignment-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
luxia-21.4b-alignment-v1.0-Q2_K.gguf Q2_K 7.563 GB smallest, significant quality loss - not recommended for most purposes
luxia-21.4b-alignment-v1.0-Q3_K_S.gguf Q3_K_S 8.783 GB very small, high quality loss
luxia-21.4b-alignment-v1.0-Q3_K_M.gguf Q3_K_M 9.751 GB very small, high quality loss
luxia-21.4b-alignment-v1.0-Q3_K_L.gguf Q3_K_L 10.590 GB small, substantial quality loss
luxia-21.4b-alignment-v1.0-Q4_0.gguf Q4_0 11.363 GB legacy; small, very high quality loss - prefer using Q3_K_M
luxia-21.4b-alignment-v1.0-Q4_K_S.gguf Q4_K_S 11.436 GB small, greater quality loss
luxia-21.4b-alignment-v1.0-Q4_K_M.gguf Q4_K_M 12.030 GB medium, balanced quality - recommended
luxia-21.4b-alignment-v1.0-Q5_0.gguf Q5_0 13.790 GB legacy; medium, balanced quality - prefer using Q4_K_M
luxia-21.4b-alignment-v1.0-Q5_K_S.gguf Q5_K_S 13.790 GB large, low quality loss - recommended
luxia-21.4b-alignment-v1.0-Q5_K_M.gguf Q5_K_M 14.134 GB large, very low quality loss - recommended
luxia-21.4b-alignment-v1.0-Q6_K.gguf Q6_K 16.369 GB very large, extremely low quality loss
luxia-21.4b-alignment-v1.0-Q8_0.gguf Q8_0 21.201 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/luxia-21.4b-alignment-v1.0-GGUF --include "luxia-21.4b-alignment-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/luxia-21.4b-alignment-v1.0-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
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GGUF
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21.4B params
Architecture
llama

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