I tried a new 8B local LLM, and its design might be the biggest shift since DeepSeek R1
The new 8B local LLM, Zaya1-8B, introduces a unique architecture that diverges from traditional models. Its Mixture-of-Experts design allows for efficient performance with fewer active parameters, particularly excelling in math and coding tasks. However, its specialized training may limit its effectiveness in more general contexts.
- ▪Zaya1-8B features a Mixture-of-Experts architecture with only around 760 million parameters active per token.
- ▪The model employs a novel attention variant that compresses queries, keys, and values into a shared latent space.
- ▪Zyphra's Compressed Convolutional Attention allows for significant KV-cache compression, enhancing performance.
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