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SecJev-9B is now available, trained from official Kev-9B on SecJev-Corpus for three epochs. Full development selected epoch 3; calibration used a separate split.
Downloads
- SecJev-9B-v1.3.0.tar.gz — trained LoRA weights, FP32 decision head, calibration, tokenizer, inference entry point and examples. The pinned Qwen3.5-9B-Base backbone is downloaded separately by bootstrap.
- SecJev-code-v1.3.0.tar.gz — training, inference and evaluation code for all released sizes.
- SHA256SUMS.txt — download checksums.
- SecJev-Corpus v1.0.0 — unchanged dataset.
Results
All 21,634 security test questions, 14 tasks:
| Metric | SecJev-9B |
|---|---|
| Micro accuracy | 88.11% |
| Macro-task accuracy | 94.51% |
| Macro-task balanced accuracy | 92.19% |
Security performance is close to 4B. Kev clean-suite accuracy is 87.33% on decision-v7 (original 87.50%) and 84.76% on transfer-v4 (original 85.06%). Per-task results and all three checkpoints.
Usage
See inference instructions and nine-GPU training recipe.
9B uses a BF16 backbone with original FP32 LoRA/head, unmerged. Actual package inference and same-batch export parity were checked on an RTX 3090. The existing SecJev agreement and applicable upstream terms remain in effect.