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tensorblock/
eternis_eternis_anonymizer_merge_Llama-3.2-1B_6jul_-GGUF

Name: eternis_eternis_anonymizer_merge_Llama-3.2-1B_6jul_-GGUF
Availability: InStock

eternis/eternis_anonymizer_merge_Llama-3.2-1B_6jul_

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eternis/eternis_anonymizer_merge_Llama-3.2-1B_6jul_ - GGUF

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This repo contains GGUF format model files for eternis/eternis_anonymizer_merge_Llama-3.2-1B_6jul_.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.

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Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename	Quant type	File Size	Description
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q2_K.gguf	Q2_K	0.581 GB	smallest, significant quality loss - not recommended for most purposes
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q3_K_S.gguf	Q3_K_S	0.642 GB	very small, high quality loss
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q3_K_M.gguf	Q3_K_M	0.691 GB	very small, high quality loss
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q3_K_L.gguf	Q3_K_L	0.733 GB	small, substantial quality loss
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q4_0.gguf	Q4_0	0.771 GB	legacy; small, very high quality loss - prefer using Q3_K_M
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q4_K_S.gguf	Q4_K_S	0.776 GB	small, greater quality loss
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q4_K_M.gguf	Q4_K_M	0.808 GB	medium, balanced quality - recommended
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q5_0.gguf	Q5_0	0.893 GB	legacy; medium, balanced quality - prefer using Q4_K_M
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q5_K_S.gguf	Q5_K_S	0.893 GB	large, low quality loss - recommended
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q5_K_M.gguf	Q5_K_M	0.911 GB	large, very low quality loss - recommended
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q6_K.gguf	Q6_K	1.022 GB	very large, extremely low quality loss
eternis_anonymizer_merge_Llama-3.2-1B_6jul_-Q8_0.gguf	Q8_0	1.321 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/eternis_eternis_anonymizer_merge_Llama-3.2-1B_6jul_-GGUF --include "eternis_anonymizer_merge_Llama-3.2-1B_6jul_-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/eternis_eternis_anonymizer_merge_Llama-3.2-1B_6jul_-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'