Dolphin3.0-Llama3.2-3B is a 3.2 billion parameter instruct-tuned language model developed by Eric Hartford, Ben Gitter, BlouseJury, and Cognitive Computations, built upon the Llama 3.2 architecture. Designed as a general-purpose local model, it excels in coding, mathematical tasks, agentic workflows, and function calling. This model emphasizes user control over system prompts and alignment, making it highly steerable for diverse applications.
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