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One guardrail for all, all guardrails for one!

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davidberenstein1957  updated a model 3 days ago
enguard/medium-guard-128m-xx-prompt-toxicity-binary-toxic-chat
davidberenstein1957  updated a model 3 days ago
enguard/tiny-guard-4m-en-prompt-toxicity-binary-toxic-chat
davidberenstein1957  updated a model 3 days ago
enguard/tiny-guard-2m-en-prompt-toxicity-binary-toxic-chat
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Enguard AI

One guardrail for all, all guardrails for one!

Why should you use these models?

  • Optimised for precision to reduce false positives.
  • Extremely fast inference: up to x500 faster than SetFit.

Which guards are available?

Below is an overview of all guardrails showing best results for smallest (-2m), best performing, and multi-lingual models across all configs.

Dataset Classifies Collection Smallest (2m) Best Performing Multi-lingual (128m)
guardset general-safety-education-binary Collection 0.9672 0.9835 0.9806
guardset response-safety-cyber-binary Collection 0.9623 0.9681 0.9607
guardset prompt-response-safety-binary Collection 0.9514 0.9783 0.9595
guardset prompt-safety-finance-binary Collection 0.9939 1.0000 1.0000
guardset general-safety-hr-binary Collection 0.9643 0.9868 0.9865
guardset prompt-safety-law-binary Collection 0.9783 1.0000 0.9890
guardset prompt-safety-binary Collection 0.9564 0.9731 0.9676
guardset response-safety-law-binary Collection 0.9344 0.9344 0.9194
guardset response-safety-binary Collection 0.9338 0.9484 0.9279
guardset prompt-safety-cyber-binary Collection 0.9540 0.9649 0.9558
guardset response-safety-finance-binary Collection 0.9350 0.9650 0.9381
guardset general-safety-social-media-binary Collection 0.9484 0.9793 0.9690
harmfulness-mix prompt-harmfulness-binary Collection 0.9533 0.9579 0.9558
in-the-wild prompt-jailbreak-binary Collection 0.9535 0.9535 0.9240
intel general-politeness-binary Collection 0.9843 0.9858 0.9831
intel general-politeness-multiclass Collection 0.9951 0.9992 0.9992
jigsaw prompt-toxicity-binary Collection 0.9531 0.9531 0.9111
moderation prompt-hate-speech-binary Collection 0.9141 0.9207 0.8826
moderation prompt-harmfulness-binary Collection 0.8543 0.8627 0.8457
moderation prompt-sexual-content-binary Collection 0.9256 0.9382 0.9153
moderation prompt-harassment-binary Collection 0.8788 0.8895 0.8660
moderation prompt-self-harm-binary Collection 0.8929 0.9667 0.9375
moderation prompt-violence-binary Collection 0.9017 0.9077 0.8821
moderation prompt-harmfulness-multilabel Collection 0.6185 0.6909 0.6547
nvidia-aegis prompt-response-safety-binary Collection 0.8254 0.8300 0.7878
nvidia-aegis prompt-safety-binary Collection 0.8770 0.8945 0.8688
nvidia-aegis response-safety-binary Collection 0.8631 0.8736 0.7560
polyguard prompt-safety-multilabel Collection 0.6619 0.7955 0.7955
polyguard response-refusal-binary Collection 0.9486 0.9567 0.9510
polyguard prompt-safety-binary Collection 0.9740 0.9741 0.9609
polyguard response-safety-binary Collection 0.9535 0.9535 0.9447
sok prompt-jailbreak-binary Collection 0.9862 0.9901 0.9901
toxic-chat prompt-toxicity-binary Collection 0.8919 0.9091 0.8527

Collections 34

prompt-toxicity-binary (toxic-chat)
Tiny guardrails for 'prompt-toxicity-binary' trained on https://huggingface.co/datasets/lmsys/toxic-chat.
prompt-harmfulness-multilabel (moderation)
Tiny guardrails for 'prompt-harmfulness-multilabel' trained on https://huggingface.co/datasets/enguard/multi-lingual-prompt-moderation.
prompt-toxicity-binary (toxic-chat)
Tiny guardrails for 'prompt-toxicity-binary' trained on https://huggingface.co/datasets/lmsys/toxic-chat.
prompt-harmfulness-multilabel (moderation)
Tiny guardrails for 'prompt-harmfulness-multilabel' trained on https://huggingface.co/datasets/enguard/multi-lingual-prompt-moderation.
View 34 collections