初始化项目，由ModelHub XC社区提供模型

Model: OliverSlivka/qwen2.5-7b-itemset-extractor
Source: Original Platform

README.md

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+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- qwen2.5
+- peft
+- lora
+- frequent-itemset-extraction
+---
+
+# Qwen2.5-7B SFT Frequent Itemset Extractor
+
+This repository stores the exact PEFT LoRA SFT adapter used for the thesis
+evaluation. It is intended to be loaded on top of `Qwen/Qwen2.5-7B-Instruct` with PEFT.
+
+- Adapter checkpoint SHA-256: `f1dfb89164225c3f1f107a486271acab6c2d076e791241360bdc0d6466e416e2`
+- Expected loader: `Qwen2ForCausalLM.from_pretrained('Qwen/Qwen2.5-7B-Instruct', quantization_config=NF4, attn_implementation="sdpa")` plus `PeftModel.from_pretrained(...)`
+- Expected eval profile: `primary_v3` two-phase decoding