A LoRA adapter fine-tuned on Devstral-Small-2 24B for automated IFC compliance checking in the AEC (Architecture, Engineering, Construction) domain. Given a natural-language compliance requirement (German), the model generates executable code to validate IFC building models — selecting the appropriate method and producing SQL, Cypher, or IFCOpenShell Python code. — Steps: 156 (3 epochs) — Final loss: 0.23 (from 1.61) — Token accuracy: 92.4% «`bash vllm serve mistralai/Devstral-Small-2-24B-Instruct-2512 —enable-lora —lora-modules devstral-ifc-acc=Balaharikaran/devstral-ifc-acc-lora-v2 —max-model-len 8192 —quantization fp8 Intended Use Automated compliance checking of IFC building models against regulatory requirements Research on domain-specific LLM fine-tuning for AEC/BIM Part of an MSc thesis at TU Munich Framework Versi
Модальности:
Генерация текста
Области применения:
Диалог / чат
Языки программирования:
SQL
Задача: Генерация текста
Автор: Balaharikaran
Теги: tensorboard, lora, sft, ifc, bim, compliance-checking, cypher, sql
Лайков: 3 | Загрузок: 17
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
