Mixed-precision MLX build of MiniMaxAI/MiniMax-M2.7, prepared by baa.ai. Settings for both runs match the Recommended inference settings below. MiniMax-M2.7 uses a … reasoning block. Important: the base chat template injects n at the end of the prompt before generation, so the model’s output begins inside the reasoning block with no opening tag. Strip everything up to and including the first : Give the model enough token budget that it can finish reasoning and emit the closing tag — we recommend at least 4096, and 8192 for harder problems. — Apple Silicon Mac with ~128 GB unified memory recommended for comfortable inference. — Runs on less with swap, at substantially reduced throughput. Black Sheep AI builds private AI with the Bounded AI Architecture (BAA): three layers, each bound to something you control, on infrastructure you control. Nothing leaves your boundary. Ram (Reasoning Layer) — Full-capability frontier models, shrunk to fit smaller GPUs with reasoning kept and certified. They rely strictly on your Data Modules for knowledge, so you swap the model as better ones ship. Paddock (Knowledge Plane) — Binds your Data Modules directly to the reasoning layer: one per topic,…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: baa-ai
Теги: mlx, minimax_m2, quantized, mixed-precision, minimax, moe, conversational, custom_code
Лайков: 3 | Загрузок: 188
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
