putty77/sn92-ra-9b-e

SN92 risk_assessment specialist (v16)

Jev-compatible decision model for the REAX (Bittensor SN92) risk_assessment specialist track: one forward pass, softmax over the option-letter logits of the reax-decide-prompt/1 format.

How it was built

1. Merge. Per-tensor linear average of two Apache-2.0 risk-assessment models that share the Qwen/Qwen3.5-9B base:
   • 0.65 x our own fine-tune of Qwen/Qwen3.5-9B (revision c202236235762e1c871ad0ccb60c8ee5ba337b9a), and
   • 0.35 x gurujustin/sn92-ra-cand-n15ab15 (revision a4264717389a882711c034aa39f488c16e037eab), itself a merge of edward56/sn92-ra-9b (5cbef35f631c8b07d7e307f431201304c3d3e7a2) and elgin-group/sn92-ra-9b-b (30928e221c52b6f14ce261617bd89497f73302cf); lineage Qwen/Qwen3.5-9B -> ironbcc/seb-9b -> elgin-group/sn92-ra-9b -> edward56/sn92-ra-9b. Credit for the behaviour learned in those models goes to their authors.
2. Fine-tuning (LoRA, merged): REAX SN92 training rows (incl. the 17 Oct factory rows), the same rows translated into 16 languages, counterfactual variants of those rows (numbers changed, answers re-derived by two independent labeler models), synthetic decision items, and decision items computed from public data sources (see NOTICE).
3. Distillation: the merged-and-tuned model was further trained on the averaged answer probabilities of four of our tuned variants (an ensemble), on about 29k risk-assessment items.
4. Readout scale: the lm_head rows of the option letters A-Z multiplied by 2.4.

Licence: Apache-2.0 (see LICENSE and NOTICE).