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@@ -28,7 +28,7 @@ The adapter is fine-tuned on top of **Qwen2.5-14B-Instruct** and is designed to
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  Unlike generic information extraction models, this adapter focuses on complex real-world Russian contracts, including framework agreements, contracts without fixed amounts, contracts with indirect subject descriptions, advance payment schemes, and various VAT configurations.
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- - **Developed by:** Dmitry Ziegler (Lead), Denis Karpov (ML), Andrey Tolstov (jun. MLOps)
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  - **Model type:** LoRA Adapter
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  - **Language(s):** Russian
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  - **License:** Apache-2.0 (inherits base model license)
 
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  Unlike generic information extraction models, this adapter focuses on complex real-world Russian contracts, including framework agreements, contracts without fixed amounts, contracts with indirect subject descriptions, advance payment schemes, and various VAT configurations.
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+ - **Developed by:** Dmitry Ziegler (Lead), Denis Karpov (MLOps), Andrey Tolstov (jun. MLOps)
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  - **Model type:** LoRA Adapter
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  - **Language(s):** Russian
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  - **License:** Apache-2.0 (inherits base model license)