This model was generated using llama.cpp at commit 0142961a. Arch-Agent is a collection of state-of-the-art (SOTA) LLMs specifically designed for advanced function calling and agent-based applications. Designed to power sophisticated multi-step and multi-turn workflows, Arch-Agent excels at handling complex, multi-step tasks that require intelligent tool selection, adaptive planning, and seamless integration with external APIs and services. Built with a focus on real-world agent deployments, Arch-Agent delivers leading performance in complex scenarios while maintaining reliability and precision across extended function call sequences. Key capabilities inlcude: — Multi-Turn Function Calling: Maintains contextual continuity across multiple dialogue turns, enabling natural, ongoing conversations with nested or evolving tool use. — Multi-Step Function Calling: Plans and executes a sequence of function calls to complete complex tasks. Adapts dynamically based on intermediate results and decomposes goals into sub-tasks. — Agentic Capabilities: Advanced decision-making and workflow management for complex agentic tasks with seamless tool coordination and error recovery. For more details,…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: Mungert
Теги: gguf, en, endpoints_compatible
Лайков: 3 | Загрузок: 442
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
