Zamba2-mini

A cutting-edge small language model designed for edge applications.

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Zamba2-mini is a small language model released by Zyphra Technologies Inc., specifically designed for edge applications. It achieves evaluation scores and performance comparable to larger models while maintaining a minimal memory footprint (<700MB). Featuring 4-bit quantization technology, it offers a 7x reduction in parameters while retaining the same performance characteristics. Zamba2-mini excels in inference efficiency, boasting faster first-token generation times, lower memory overhead, and reduced generation latency compared to larger models like Phi3-3.8B. Furthermore, the model weights have been open-sourced (Apache 2.0), enabling researchers, developers, and companies to leverage its capabilities and push the boundaries of efficient foundational models.
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Monthly Visits

3401

Bounce Rate

34.29%

Page per Visit

2.0

Visit Duration

00:00:28

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