Qwen3.8 27B

User describes an open-source project (jevm) that replaces the lm_head of Qwen3.8-27B with ordinal cumulative-link heads on several layers, trained with LoRA, to produce five calibrated answers in one prefill for Chinese A-share news screening. No model results are reported: only a smoke test on Qwen3-0.6B has been run, and the 27B is planned for training on 8× RTX PRO 6000. The repo contains label validation and baselines, including a text-blind GBM at 0.55–0.57 AUC on price reactions and 0.68–0.70 on volume/propagation. A plain LoRA plus single-letter-answer baseline is served with vLLM logprobs for comparison.