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Llama Guard Quant by tybrs

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  Arxiv:2312.06674   Arxiv:2403.13031   Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Conversational   En   Endpoints compatible   Facebook   Gguf   Llama   Llama-3   Meta   Pytorch   Quantized   Region:us

Llama Guard Quant Benchmarks

LLME Score: 0.21723
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama Guard Quant Parameters and Internals

LLM NameLlama Guard Quant
Repository 🤗https://huggingface.co/tybrs/llama-guard-quant 
Base Model(s)  Meta Llama Guard 2 8B   meta-llama/Meta-Llama-Guard-2-8B
Model Size8b
Required VRAM3.2 GB
Updated2024-10-17
Maintainertybrs
Model Typellama
Model Files  3.2 GB   4.3 GB   4.0 GB   3.7 GB   4.7 GB   5.1 GB   4.9 GB   4.7 GB   5.6 GB   6.1 GB   5.7 GB   5.6 GB   6.6 GB   8.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Vocabulary Size128256
Torch Data Typebfloat16
Llama Guard Quant (tybrs/llama-guard-quant)

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Note: green Score (e.g. "73.2") means that the model is better than tybrs/llama-guard-quant.

Rank the Llama Guard Quant Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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