protectai / text-classification updated 3 weeks ago

deberta-v3-base-prompt-injection-v2

Name: deberta-v3-base-prompt-injection-v2
Author: protectai

> [!WARNING] > THIS PROJECT HAS BEEN ARCHIVED. > > This project and its associated code on GitHub are no longer under active development or maintained.

Params

180 M

Context

512

Downloads 30d

300 K

Likes

112

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

300 K272 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	0.7 GB	1.3 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: DebertaV2ForSequenceClassification
Parameters: 180 M
Tensor type: F32
Context length: 512
Vocabulary: 128,100
Layers / heads: 12 / 12
Licence: apache-2.0
First seen on the Hub: 2024-04-20
Training datasets: natolambert/xstest-v2-copy, VMware/open-instruct, alespalla/chatbot_instruction_prompts, HuggingFaceH4/grok-conversation-harmless, Harelix/Prompt-Injection-Mixed-Techniques-2024, OpenSafetyLab/Salad-Data, jackhhao/jailbreak-classification
Added to our catalog: 2026-07-28

Compare with

bge-reranker-v2-m3 19.2 M finbert 5.6 M bge-reranker-base 4.6 M Prompt-Guard-86M 4.5 M twitter-roberta-base-sentiment-latest 2.6 M bertweet-base-sentiment-analysis 1.5 M

Appears in

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