初始化项目，由ModelHub XC社区提供模型

Model: yavuz-ai/qwen3-4b-cai-sft
Source: Original Platform

README.md

@@ -0,0 +1,30 @@
+---
+license: apache-2.0
+base_model: Qwen/Qwen3-4B-Instruct-2507
+library_name: transformers
+datasets:
+  - Anthropic/hh-rlhf
+tags:
+  - constitutional-ai
+  - rlaif
+  - safety
+pipeline_tag: text-generation
+---
+
+# qwen3-4b-cai-sft (SL-CAI stage)
+
+The supervised stage of a Constitutional AI reproduction ([Bai et al. 2022](https://arxiv.org/abs/2212.08073)):
+Qwen3-4B-Instruct fine-tuned on its own self-critiqued, revised answers to red-team prompts, against
+a 5-principle constitution adapted from public sources (the CAI paper and Anthropic's published
+constitution). LoRA SFT, merged. Code + full writeup: https://github.com/shipbehaves/constitutional-cai
+
+## research artifact, not a better assistant
+
+On a two-axis eval this stage raises over-refusal on benign prompts from 0.327 to 0.431 while safety
+stays ~1.0. It is published for reproducibility and failure analysis, not as a general-purpose model.
+See the repo for the stage-by-stage teardown of the harmless-vs-overrefusal tension.
+
+## training
+
+LoRA SFT (r=16, alpha=32, all-linear), completion-only loss on the revised answers, 2 epochs,
+lr 1e-4, bf16, on 1x A100. Data: ~4,800 self-revisions generated from hh-rlhf harmless-base prompts.