Training loss over the run (representative logged steps): 0.9714 -> 0.5867 -> 0.5562. Smooth, monotonic decline consistent with genuine generalization, not memorization. Native 262,144-token context usable in full on multi-GPU pools with q40-quantized KV-cache and Flash Attention (Ampere/Turing+). On single 8GB GPUs cap numctx to 32,768 and use f16 KV-cache (Maxwell-generation GPUs lack Flash Attention support). — Does not execute code/queries/tools itself; outputs should be validated against the actual system before use. — Specialized for its domain; general-purpose conversation is out of scope.
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: h3rb3rn
Теги: gguf, compound-ai, domain-expert, precision, lora, lumi-g, moe-sovereign, hybrid-attention
Лайков: 3 | Загрузок: 80
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
