> 🔬 Published as a transparent research for the Skylar framework, not as a general-purpose or SOTA model. A 980M decoder-only COBOL specialist, trained 100% from scratch (random init, no warm-start, no external pretrained weights) and instruction-tuned to write, explain, modify and translate COBOL. Local, sovereign, and small enough to run on a modest GPU — built for legacy banking / insurance / PA settings where code cannot leave the building. — COBOL-only by design. It deliberately refuses other languages («Python non rientra nelle mie competenze: sono specializzato esclusivamente in COBOL»). That focus is a feature, not a gap. — Small & token-budget-limited (980M params, 20.37B pretrain tokens) → strong on COBOL syntax, generation and multi-turn edits, weak on multi-step arithmetic/abstract reasoning (a 0.9B capacity ceiling — see results). Expect a competent, honest assistant, not a reasoning engine. — A research artifact of the Skylar from-scratch stack, not a finished product. — Writes correct, compilable COBOL from a request, and modifies it across turns (e.g. «add an OVERFLOW check if the sum exceeds 9999» → correct IF … DISPLAY ‘OVERFLOW’ ELSE …). — Explains COBOL…
Модальности:
Генерация текста
Области применения:
Генерация кода
Задача: Генерация текста
Автор: Skyl4r-Ai
Теги: nano-transformer, cobol, code, from-scratch, qwen3, skylar, sovereign-ai, it
Лайков: 3 | Загрузок: 64
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
