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meta-llama/Meta-Llama-Guard-2-8B - GGUF

This repo contains GGUF format model files for meta-llama/Meta-Llama-Guard-2-8B.

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

Prompt template

[INST] Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories.

<BEGIN UNSAFE CONTENT CATEGORIES>
S1: Violent Crimes. 
S2: Non-Violent Crimes. 
S3: Sex Crimes. 
S4: Child Exploitation. 
S5: Specialized Advice. 
S6: Privacy. 
S7: Intellectual Property. 
S8: Indiscriminate Weapons. 
S9: Hate. 
S10: Self-Harm. 
S11: Sexual Content. 
<END UNSAFE CONTENT CATEGORIES>

<BEGIN CONVERSATION>

User: {prompt}

<END CONVERSATION>

Provide your safety assessment for ONLY THE LAST User message in the above conversation:
 - First line must read 'safe' or 'unsafe'.
 - If unsafe, a second line must include a comma-separated list of violated categories. [/INST]

Model file specification

Filename Quant type File Size Description
Meta-Llama-Guard-2-8B-Q2_K.gguf Q2_K 3.179 GB smallest, significant quality loss - not recommended for most purposes
Meta-Llama-Guard-2-8B-Q3_K_S.gguf Q3_K_S 3.665 GB very small, high quality loss
Meta-Llama-Guard-2-8B-Q3_K_M.gguf Q3_K_M 4.019 GB very small, high quality loss
Meta-Llama-Guard-2-8B-Q3_K_L.gguf Q3_K_L 4.322 GB small, substantial quality loss
Meta-Llama-Guard-2-8B-Q4_0.gguf Q4_0 4.661 GB legacy; small, very high quality loss - prefer using Q3_K_M
Meta-Llama-Guard-2-8B-Q4_K_S.gguf Q4_K_S 4.693 GB small, greater quality loss
Meta-Llama-Guard-2-8B-Q4_K_M.gguf Q4_K_M 4.921 GB medium, balanced quality - recommended
Meta-Llama-Guard-2-8B-Q5_0.gguf Q5_0 5.599 GB legacy; medium, balanced quality - prefer using Q4_K_M
Meta-Llama-Guard-2-8B-Q5_K_S.gguf Q5_K_S 5.599 GB large, low quality loss - recommended
Meta-Llama-Guard-2-8B-Q5_K_M.gguf Q5_K_M 5.733 GB large, very low quality loss - recommended
Meta-Llama-Guard-2-8B-Q6_K.gguf Q6_K 6.596 GB very large, extremely low quality loss
Meta-Llama-Guard-2-8B-Q8_0.gguf Q8_0 8.541 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/Meta-Llama-Guard-2-8B-GGUF --include "Meta-Llama-Guard-2-8B-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/Meta-Llama-Guard-2-8B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
46
GGUF
Model size
8.03B params
Architecture
llama

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4-bit

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Inference Examples
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