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yam-peleg/Hebrew-Gemma-11B-V2 - GGUF

This repo contains GGUF format model files for yam-peleg/Hebrew-Gemma-11B-V2.

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

Prompt template

<start_of_turn>user
{prompt}<end_of_turn>
<start_of_turn>model

Model file specification

Filename Quant type File Size Description
Hebrew-Gemma-11B-V2-Q2_K.gguf Q2_K 3.901 GB smallest, significant quality loss - not recommended for most purposes
Hebrew-Gemma-11B-V2-Q3_K_S.gguf Q3_K_S 4.485 GB very small, high quality loss
Hebrew-Gemma-11B-V2-Q3_K_M.gguf Q3_K_M 4.941 GB very small, high quality loss
Hebrew-Gemma-11B-V2-Q3_K_L.gguf Q3_K_L 5.330 GB small, substantial quality loss
Hebrew-Gemma-11B-V2-Q4_0.gguf Q4_0 5.683 GB legacy; small, very high quality loss - prefer using Q3_K_M
Hebrew-Gemma-11B-V2-Q4_K_S.gguf Q4_K_S 5.724 GB small, greater quality loss
Hebrew-Gemma-11B-V2-Q4_K_M.gguf Q4_K_M 6.042 GB medium, balanced quality - recommended
Hebrew-Gemma-11B-V2-Q5_0.gguf Q5_0 6.811 GB legacy; medium, balanced quality - prefer using Q4_K_M
Hebrew-Gemma-11B-V2-Q5_K_S.gguf Q5_K_S 6.811 GB large, low quality loss - recommended
Hebrew-Gemma-11B-V2-Q5_K_M.gguf Q5_K_M 6.996 GB large, very low quality loss - recommended
Hebrew-Gemma-11B-V2-Q6_K.gguf Q6_K 8.009 GB very large, extremely low quality loss
Hebrew-Gemma-11B-V2-Q8_0.gguf Q8_0 10.372 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-Gemma-11B-V2-GGUF --include "Hebrew-Gemma-11B-V2-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-Gemma-11B-V2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
240
GGUF
Model size
10.5B params
Architecture
gemma

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Inference API
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