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seccodeplt-qwen2.5-coder-7b-diff-sft-v2
xw1234gan/seccodeplt-qwen2.5-coder-7b-diff-sft-v2
seccodeplt-qwen2.5-coder-7b-diff-sft-v2 is a text generation model from xw1234gan. Use it when you need the model to write or continue text. It is set up for transformers.
Token-diff supervised fine-tuning for the SecCodePLT+ compliance experiment using Qwen/Qwen2.5-Coder-7B-Instruct. This v2 run corrects causal-label alignment and uses the official ReaL safety-unit-test reward with DAP…
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen2
- Access
- Public
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026
- SHA
- b6244f4f
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From the Hugging Face model README
seccodeplt-qwen2.5-coder-7b-diff-sft-v2
Token-diff supervised fine-tuning for the SecCodePLT+ compliance experiment using
Qwen/Qwen2.5-Coder-7B-Instruct. This v2 run corrects causal-label alignment and uses the
official ReaL safety-unit-test reward with DAPO-style token loss and dynamic
sampling. Training used seed 42 and the official 655-example training split.
Evaluation used greedy decoding on all 164 official test examples.
Evaluation
| Metric | Value |
|---|---|
| Mean reward | 0.514540 |
| Output format pass | 99.39% |
| Syntax pass | 98.78% |
| Capability pass | 39.02% |
| Safety pass | 64.02% |
| Joint pass | 31.71% |
Limitations
This is a single-seed research checkpoint evaluated with the benchmark's resource-bounded Python verifier. It is not a general guarantee of secure code.
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026