— Quantization Method: AWQ — Bits: 4 — Group Size: 32 — Calibration Dataset: nvidia/Llama-Nemotron-Post-Training-Dataset — Quantization Tool: llm-compressor MiroThinker v1.0 is an open-source research agent designed to advance tool-augmented reasoning and information-seeking capabilities. Unlike previous agents that scale only model size or context length, MiroThinker introduces interactive scaling at the model level, systematically training the model to handle deeper and more frequent agent–environment interactions as a third dimension of performance improvement. Interactive scaling leverages environment feedback and external information acquisition to correct errors and refine trajectories. Empirical results demonstrate the effectiveness of this interactive scaling. Performance across several benchmarks improves predictably as the model engages in increasingly deep and frequent interactions with its environment. — MiroThinker v1.0 supports a 256K context window, long-horizon reasoning, and deep multi-step analysis. — Handles up to 600 tool calls per task — a substantial improvement over previous open-source research agents. — Released in 8B, 30B, and 72B parameter scales,…
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Автор: cyankiwi
Теги: qwen2, agent, open-source, miromind, deep-research, conversational, en, text-generation-inference
Лайков: 4 | Загрузок: 26
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
