AaryanK/MiniMax-M2.7-GGUF - Каталог нейросетей
Генерация текста

AaryanK/MiniMax-M2.7-GGUF

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AaryanK/MiniMax-M2.7-GGUF

This repository contains GGUF format model files for MiniMaxAI’s MiniMax-M2.7. MiniMax-M2.7 is an advanced model designed for complex agent harnesses, model self-evolution, and professional software engineering. It is capable of executing elaborate productivity tasks, leveraging native Agent Teams for multi-agent collaboration, and performing system-level reasoning for real-world programming challenges. To see the available files, please verify the Files and versions tab. Recommended Parameters: The creators recommend the following parameters for the best performance: Temperature: 1.0 Top-P: 0.95 Top-K: 40 Context: -c (Adjust based on your VRAM/RAM). MiniMax-M2.7 is our first model deeply participating in its own evolution. M2.7 is capable of building complex agent harnesses and completing highly elaborate productivity tasks, leveraging Agent Teams, complex Skills, and dynamic tool search. For more details, see our blog post. M2.7 initiates a cycle of model self-evolution: during development, we let the model update its own memory, build dozens of complex skills for RL experiments, and improve its own learning process based on experiment results. An internal version of…

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Генерация текста

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Задача: Генерация текста
Автор: AaryanK
Теги: gguf, text-generation-inference, agent, code, minimax, en, zh, endpoints_compatible
Лайков: 4  |  Загрузок: 193

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