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Meta Llama Guard 2 8B by meta-llama

 »  All LLMs  »  meta-llama  »  Meta Llama Guard 2 8B   URL Share it on

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  Arxiv:2312.06674   Arxiv:2403.13031   Autotrain compatible   Conversational   En   Endpoints compatible   Facebook   Llama   Llama-3   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B 

Meta Llama Guard 2 8B Benchmarks

LLME Score: 0.25963
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama Guard 2 8B (meta-llama/Meta-Llama-Guard-2-8B)

Meta Llama Guard 2 8B Parameters and Internals

Model Type 
text-generation, content moderation
Use Cases 
Areas:
Safety and content moderation
Applications:
Online platforms requiring content moderation
Primary Use Cases:
Classifying content for safety in both inputs and responses
Limitations:
Performance limited by training data, Not designed for chat use cases, Susceptible to adversarial attacks
Considerations:
Recommended to be used with additional solutions for unsupported categories
Additional Notes 
Supports 11 out of the 13 categories included in the MLCommons AI Safety taxonomy. Election and Defamation categories are not addressed.
Training Details 
Data Sources:
Llama Guard training set, MLCommons taxonomy, hard samples from Llama 2 70B
Methodology:
Fine-tuned for safety classification
Safety Evaluation 
Methodologies:
Harm Taxonomy, MLCommons taxonomy alignment
Findings:
Strong adaptability to other policies, Superior tradeoff between F1 score and False Positive Rate
Risk Categories:
Violent Crimes, Non-Violent Crimes, Sex-Related Crimes, Child Sexual Exploitation, Specialized Advice, Privacy, Intellectual Property, Indiscriminate Weapons, Hate, Suicide & Self-Harm, Sexual Content
Ethical Considerations:
Not disclosed
Responsible Ai Considerations 
Mitigation Strategies:
Using external components like KNN
Input Output 
Input Format:
Text prompts
Accepted Modalities:
text
Output Format:
Binary classification (safe/unsafe)
Performance Tips:
Align model with specific safety considerations for better moderation
LLM NameMeta Llama Guard 2 8B
Repository 🤗https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-03-12
Maintainermeta-llama
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Meta Llama Guard 2 8B

Model
Likes
Downloads
VRAM
Llama Guard Quant02083 GB
Meta Llama Guard 2 8B Bnb 4bit1145 GB
Meta Llama Guard 2 8B AWQ0325 GB

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D141024K / 16.1 GB1200
Note: green Score (e.g. "73.2") means that the model is better than meta-llama/Meta-Llama-Guard-2-8B.

Rank the Meta Llama Guard 2 8B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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