SecJev v1.0.0 — 0.8B model, corpus and code

SecJev-0.8B is a security decision model fine-tuned from Kev-0.8B. This release includes the trained model, the complete SecJev-Corpus and the training/inference code.

Downloads

• SecJev-0.8B-v1.0.0.tar.gz: trained LoRA weights, decision head, calibration parameters and tokenizer. The pinned Qwen3.5-0.8B-Base backbone is downloaded separately by the setup script.
• SecJev-Corpus-v1.0.0.tar.gz: all 170,185 questions in training, calibration, development and test splits, with source metadata and terms.
• SecJev-code-v1.0.0.tar.gz: inference, initial training, two-epoch continuation, development checkpoint selection, calibration, test evaluation and export.
• SHA256SUMS.txt: download checksums.

Results

SecJev-0.8B reaches 90.34% macro-average accuracy, 88.00% macro-average balanced accuracy, and 85.03% micro accuracy across 14 security tasks. The epoch-3 checkpoint was selected on development data. Full per-task results and original-Kev capability retention results are in the repository.

The model is released as an adapter plus decision head, not a full copy of the Qwen backbone. Usage and source-specific terms are in LICENSE, SOURCES.md and THIRD_PARTY_NOTICES.md.

See INFERENCE.md to run the model and TRAINING.md to reproduce training.