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LlamaGuard 7B by meta-llama

 »  All LLMs  »  meta-llama  »  LlamaGuard 7B   URL Share it on

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  Arxiv:2307.09288   Arxiv:2312.04724   Autotrain compatible   Conversational   En   Endpoints compatible   Facebook   Llama   Llama2   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/meta-llama/LlamaGuard-7b 

LlamaGuard 7B Benchmarks

LLME Score: 0.20048
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LlamaGuard 7B (meta-llama/LlamaGuard-7b)
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LlamaGuard 7B Parameters and Internals

Model Type 
input-output safeguard, content classification
Use Cases 
Primary Use Cases:
Classifying content in LLM inputs and responses
Training Details 
Data Sources:
Anthropic dataset, in-house redteaming examples
Data Volume:
~13K training examples
LLM NameLlamaGuard 7B
Repository 🤗https://huggingface.co/meta-llama/LlamaGuard-7b 
Model Size7b
Required VRAM13.5 GB
Updated2025-07-31
Maintainermeta-llama
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the LlamaGuard 7B

Model
Likes
Downloads
VRAM
...B GPTQ 4bit 128g Actorder True252 GB

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Note: green Score (e.g. "73.2") means that the model is better than meta-llama/LlamaGuard-7b.

Rank the LlamaGuard 7B Capabilities

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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 v20241124
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