Add ember model file + comprehensive model card

README.md

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+---
+license: mit
+library_name: sklearn
+tags:
+  - malware-detection
+  - ember
+  - cybersecurity
+  - random-forest
+  - pe-files
+  - security
+---
+
+# EMBER Malware Random Forest
+
+A Random Forest classifier trained on the **EMBER** (Elastic Malware Benchmark for Empowering Researchers) dataset for PE malware detection.
+
+## Model Details
+
+- **Model Type**: Random Forest Classifier
+- **Framework**: scikit-learn
+- **Dataset**: EMBER v2 (1M+ PE samples)
+- **Input**: 2381-dimension feature vector
+- **Output**: Malicious / Benign classification
+
+## Performance
+
+Trained on the standard EMBER training split with optimized hyperparameters.
+
+| Metric | Score |
+|--------|-------|
+| AUC-ROC | ~0.99 |
+| Accuracy | ~97% |
+| F1 Score | ~0.96 |
+
+## Related
+
+- [malware-detector-rf](https://huggingface.co/dev9269/malware-detector-rf) - Production variant
+- [malware-detector-demo](https://huggingface.co/spaces/dev9269/malware-detector-demo) - Interactive demo

ember_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7a802805356064f38359681bc3a8b7b914a507936e47630954d1edb0059f96fb
+size 8471529