SteelStorage/Q2.5-MS-Mistoria-72b-v2 is a 72.7 billion parameter language model developed by SteelSkull, built upon the Qwen 2.5 architecture. This model is the second iteration, designed to merge robust storytelling capabilities from multiple base models while attempting to maintain high intelligence. It is specifically optimized for narrative generation and general intelligent conversational tasks, utilizing a 131072 token context length.
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