The first open, fine-tuned LLM for the full ServiceNow delivery lifecycle — from business analysis to validation. marvy-1-14B is an open-source language model fine-tuned for the complete ServiceNow delivery lifecycle: business analysis, requirements, stakeholder mapping, systems inventory, Solution Design Documents, user stories with acceptance criteria, implementation planning, test cases, and validation. Where general-purpose models treat ServiceNow as one topic among many, marvy is built to draft the actual artifacts a delivery team produces — in the structure and sequence real engagements follow. It is a first-draft specialist, not a consultant replacement, and it is not an agentic or tool-use fine-tune. It was built by MainStack, a consultancy specializing in ServiceNow Agentic Delivery. marvy is a LoRA SFT fine-tune of Qwen2.5-14B-Instruct (Apache-2.0), trained on ~1,958 anonymized artifacts from real engagements (~887k tokens), rigorously redacted to zero residual PII per an automated leakage scanner. Its test perplexity of 13.107 was measured on a project- and customer-disjoint held-out split — the model generalizes to unseen work rather than memorizing the training set. -…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: MainStack
Теги: qwen2, servicenow, itsm, csdm, itom, delivery, solution-design, user-stories
Лайков: 3 | Загрузок: 115
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
