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tensorblock/shieldgemma-2b-GGUF

sourceHugging Facegemmaupdated 8mo agoView on Hugging Face
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google/shieldgemma-2b - GGUF

This repo contains GGUF format model files for google/shieldgemma-2b.

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

Our projects

<table border="1" cellspacing="0" cellpadding="10"> <tr> <th colspan="2" style="font-size: 25px;">Forge</th> </tr> <tr> <th colspan="2"> <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/> </th> </tr> <tr> <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th> </tr> <tr> <th colspan="2"> <a href="https://github.com/TensorBlock/forge" target="_blank" style=" display: inline-block; padding: 8px 16px; background-color: #FF7F50; color: white; text-decoration: none; border-radius: 6px; font-weight: bold; font-family: sans-serif; ">๐Ÿš€ Try it now! ๐Ÿš€</a> </th> </tr>

<tr> <th style="font-size: 25px;">Awesome MCP Servers</th> <th style="font-size: 25px;">TensorBlock Studio</th> </tr> <tr> <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th> <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th> </tr> <tr> <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th> <th>A lightweight, open, and extensible multi-LLM interaction studio.</th> </tr> <tr> <th> <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="blank" style=" display: inline-block; padding: 8px 16px; background-color: #FF7F50; color: white; text-decoration: none; border-radius: 6px; font-weight: bold; font-family: sans-serif; ">๐Ÿ‘€ See what we built ๐Ÿ‘€</a> </th> <th> <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="blank" style=" display: inline-block; padding: 8px 16px; background-color: #FF7F50; color: white; text-decoration: none; border-radius: 6px; font-weight: bold; font-family: sans-serif; ">๐Ÿ‘€ See what we built ๐Ÿ‘€</a> </th> </tr> </table>

Prompt template

<bos>You are a policy expert trying to help determine whether a user prompt is in violation of the defined safety policies.

<start_of_turn>
Human Question: {prompt}
<end_of_turn>

Our safety principle is defined in the below:

* {system_prompt}

===

Does the human question violate the above principle? Your answer must start with 'Yes' or 'No'. And then walk through step by step to be sure we answer correctly.

Model file specification

FilenameQuant typeFile SizeDescription
shieldgemma-2b-Q2_K.ggufQ2_K1.230 GBsmallest, significant quality loss - not recommended for most purposes
shieldgemma-2b-Q3_K_S.ggufQ3KS1.361 GBvery small, high quality loss
shieldgemma-2b-Q3_K_M.ggufQ3KM1.462 GBvery small, high quality loss
shieldgemma-2b-Q3_K_L.ggufQ3KL1.550 GBsmall, substantial quality loss
shieldgemma-2b-Q4_0.ggufQ4_01.630 GBlegacy; small, very high quality loss - prefer using Q3KM
shieldgemma-2b-Q4_K_S.ggufQ4KS1.639 GBsmall, greater quality loss
shieldgemma-2b-Q4_K_M.ggufQ4KM1.709 GBmedium, balanced quality - recommended
shieldgemma-2b-Q5_0.ggufQ5_01.883 GBlegacy; medium, balanced quality - prefer using Q4KM
shieldgemma-2b-Q5_K_S.ggufQ5KS1.883 GBlarge, low quality loss - recommended
shieldgemma-2b-Q5_K_M.ggufQ5KM1.923 GBlarge, very low quality loss - recommended
shieldgemma-2b-Q6_K.ggufQ6_K2.151 GBvery large, extremely low quality loss
shieldgemma-2b-Q8_0.ggufQ8_02.784 GBvery large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

shell
pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

shell
huggingface-cli download tensorblock/shieldgemma-2b-GGUF --include "shieldgemma-2b-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:

shell
huggingface-cli download tensorblock/shieldgemma-2b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'