Text Classification
PyTorch
ONNX
Safetensors
decision-model
jev-like
systemone
prompt-injection
indirect-prompt-injection
ai-agent-security
tool-security
jailbreak-detection
data-loss-prevention
guardrails
calibration
multiple-choice
structured-output
classification
security
llm-security
ai-safety
multilingual
modernbert
mmbert
cpu
patronus
wolf-defender-jev
decision-model-guard
context-aware-security
decision-security
agent-security
ai-security
agent-action-security
prompt-injection-detection
mcp-security
untrusted-content
local-inference
on-device
cpu-inference
onnxruntime
quantized
int8
int4
multiple-choice-classification
jev
decision-steering
agent-guardrails
tool-calling
policy-evaluation
sensitive-data-detection
pii-detection
Eval Results (legacy)
Commit History
7 days ago
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Refresh Wolf Defender Jev model card, product presentation and HF metadata
Verified signature056f3d5
10 days ago
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Model card: decision-model-guard section, INT8 note for ONNX Runtime 1.23
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14 days ago
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Add ONNX variants: FP32, FP16, INT8 with FP16 embeddings, INT8 with INT4 embeddings
Verified signatureSame recipes and layout as the Wolf Defender models; quantization_manifest.json records the source revision, graph hashes, operator inventories and the comparison with the PyTorch checkpoint.5ed7c44
19 days ago
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Card: Jev-like positioning, highlights, named-question usage, model-index; code: predict() for choice/noul/score questions
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Card: MIT licence, no training section
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Wolf Defender Jev
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initial commit
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