tensorblock/Hebrew-Mistral-7B-GGUF

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yam-peleg/Hebrew-Mistral-7B - GGUF

This repo contains GGUF format model files for yam-peleg/Hebrew-Mistral-7B.

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
Hebrew-Mistral-7B-Q2_K.gguf	Q2_K	2.673 GB	smallest, significant quality loss - not recommended for most purposes
Hebrew-Mistral-7B-Q3_K_S.gguf	Q3_K_S	3.101 GB	very small, high quality loss
Hebrew-Mistral-7B-Q3_K_M.gguf	Q3_K_M	3.431 GB	very small, high quality loss
Hebrew-Mistral-7B-Q3_K_L.gguf	Q3_K_L	3.713 GB	small, substantial quality loss
Hebrew-Mistral-7B-Q4_0.gguf	Q4_0	3.996 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Hebrew-Mistral-7B-Q4_K_S.gguf	Q4_K_S	4.026 GB	small, greater quality loss
Hebrew-Mistral-7B-Q4_K_M.gguf	Q4_K_M	4.238 GB	medium, balanced quality - recommended
Hebrew-Mistral-7B-Q5_0.gguf	Q5_0	4.839 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Hebrew-Mistral-7B-Q5_K_S.gguf	Q5_K_S	4.839 GB	large, low quality loss - recommended
Hebrew-Mistral-7B-Q5_K_M.gguf	Q5_K_M	4.964 GB	large, very low quality loss - recommended
Hebrew-Mistral-7B-Q6_K.gguf	Q6_K	5.735 GB	very large, extremely low quality loss
Hebrew-Mistral-7B-Q8_0.gguf	Q8_0	7.427 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/Hebrew-Mistral-7B-GGUF --include "Hebrew-Mistral-7B-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/Hebrew-Mistral-7B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'