初始化项目，由ModelHub XC社区提供模型

Model: flavianv/qwen4b-apparel23-bundle-sft
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-4B
+pipeline_tag: text-generation
+tags:
+- deepshopper
+- recommendation
+- fashion
+- outfit
+---
+
+# DeepShopper Reward V0 — AMZ bundle likelihood judge (Qwen3-4B)
+
+Reward **V0** for DeepShopper: a Qwen3-4B SFT'd to generate the matching outfit bundle
+for a natural-language need (`P(outfit | need)`). Used as a reward via **teacher-forced
+likelihood** of a candidate outfit (`100·exp(−mean NLL)`), with hard gates (invalid /
+duplicate / role-category).
+
+- **Data:** [`flavianv/apparel23-qwen32b-kept-outfits-with-products`](https://huggingface.co/datasets/flavianv/apparel23-qwen32b-kept-outfits-with-products) (AMZ Apparel'23 gold/kept bundles).
+- **Role:** in-distribution relative signal (SFT mapper ≫ zero-shot).
+- **Known limits:** likelihood ≠ quality; **gender-blind** and reasoning-blind; in-distribution (AMZ) only. Superseded for discrimination by the pairwise **V1** ([`flavianv/qwen4b-reward-pairwise-v1`](https://huggingface.co/flavianv/qwen4b-reward-pairwise-v1)).
+
+Code: https://github.com/clijo/reco-rl (branch outfit_bundle).