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Dmitry ZieglerVerified signature###Descripton This LoRA adapter is fine-tuned for automated extraction of structured information from Russian-language contracts. The adapter extends the Qwen2.5-14B-Instruct model with specialized capabilities for enterprise legal document understanding. The model receives a full contract text in free-form format and generates a structured JSON response containing extracted contractual information, including document subject, financial conditions, VAT parameters, advance payment schedules, and specification data. The base model used for fine-tuning is Qwen2.5-14B-Instruct. On the Russian Purchase Contracts benchmark, the base model demonstrates approximately 85% accuracy on Russian contract understanding and extraction tasks. This LoRA adapter further specializes the model for real-world corporate contracts, improving robustness in complex document scenarios that are difficult for general-purpose language models. The model is designed to process unstructured Russian legal documents…3157115 -
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