This is a standalone, merged BF16 checkpoint derived from
gold24k/v3. It applies a
scaled selective-fallback LoRA trained on preserved positive turns and
sanitized, task-specific alternatives for high-confidence negative turns. It
does not require a runtime router, custom Python code, or a PEFT adapter.
The table compares the scaled adapter with the untouched pinned parent. These
small held-out metrics selected the merge strength; they are not a substitute
for the exact full Affine duel on the dedicated evaluator.
Experimental candidate. Before submission, run exact stock-vLLM Affine duels,
the exploit-pattern audit, repository preflight, and the official submission
client check. selective_fallback_provenance.json contains the machine-readable
training and merge record.
