nvidia/AceInstruct-7B is a 7.6 billion parameter instruction-tuned causal language model developed by NVIDIA, fine-tuned on Qwen2.5-Base. It is designed for versatile application across coding, mathematics, and general-purpose tasks, demonstrating performance comparable to Qwen2.5-Instruct models. With a context length of 131072 tokens, it offers strong capabilities in diverse domains.
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