初始化项目，由ModelHub XC社区提供模型

Model: sebsigma/SemanticCite-Refiner-Qwen3-1B
Source: Original Platform

README.md

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+---
+base_model: unsloth/Qwen3-1.7B-unsloth-bnb-4bit
+license: mit
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:unsloth/Qwen3-1.7B-unsloth-bnb-4bit
+- lora
+- sft
+- transformers
+- trl
+- unsloth
+- citation-preprocessing
+- text-refinement
+- academic-text-processing
+inference:
+  parameters:
+    temperature: 0.6
+    top_p: 0.95
+    max_new_tokens: 512
+ollama:
+  parameters:
+    num_ctx: 1024
+    temperature: 0.6
+    top_p: 0.95
+---
+
+# SemanticCite-Refiner-Qwen3-1B
+
+A fine-tuned Qwen3-1.7B model specialized for preprocessing citation text. This model removes reference markers, author names, and publication identifiers while converting author-centered statements to fact-centered statements for improved citation verification.
+
+## Model Details
+
+### Model Description
+
+This model is designed to preprocess citation text by cleaning and standardizing it for downstream verification tasks. It removes reference markers (e.g., [1], Smith 2020, et al.), converts author-centered statements to fact-centered statements using passive voice, while maintaining all numerical values and factual details.
+
+- **Developed by:** Sebastian Haan
+- **Model type:** Causal Language Model (Fine-tuned)
+- **Language(s) (NLP):** English
+- **License:** MIT
+- **Finetuned from model:** unsloth/Qwen3-1.7B-unsloth-bnb-4bit
+
+
+## Uses
+
+### Direct Use
+
+This model is intended for:
+- Preprocessing citation text for academic verification systems
+- Cleaning and standardizing citation statements
+- Converting author-centric to fact-centric statements
+- First stage in citation verification pipelines
+
+
+### Out-of-Scope Use
+
+This model should not be used for:
+- General text summarization or rewriting
+- Legal document processing
+- Medical text processing
+- Creative writing or content generation
+
+
+