Lunaris Sentinel
Official Lunaris Sentinel multi-task security encoder (Auren Research).
Fine-tuned from answerdotai/ModernBERT-base on auren-research/astraea-unified-threat.
Heads
| Head | Task |
|---|---|
cls_head |
Malicious / benign (log_classification, phishing) |
mitre_head |
MITRE technique classification (791 classes) |
ner_head |
IOC token NER (17 BIO labels) |
anomaly_head |
Anomaly score regression |
Load (training codebase)
from training.model import AstraeaConfig, AstraeaModel
import torch
cfg = AstraeaConfig(
base_model_name="answerdotai/ModernBERT-base",
num_mitre_classes=791,
)
model = AstraeaModel(cfg)
state = torch.load("pytorch_model.bin", map_location="cpu", weights_only=True)
model.load_state_dict(state, strict=False)
Package metadata
{
"model_id": "lunaris-sentinel",
"base_model": "answerdotai/ModernBERT-base",
"checkpoint_root": "/root/neobert-astraea-finetune/checkpoints/astraea-modernbert-full",
"primary_weights": "/root/neobert-astraea-finetune/checkpoints/astraea-modernbert-full/checkpoint-3000",
"num_mitre_classes": 791,
"num_ner_labels": 17,
"checkpoints_included": [
"checkpoint-2000",
"checkpoint-2500",
"checkpoint-3000"
]
}
Model tree for auren-research/lunaris-sentinel
Base model
answerdotai/ModernBERT-base