Zyphra AI Introduces
Zyphra's pitch — retrofitted frozen LLMs matching dense attention on reasoning and 256K retrieval after only 4B tokens of distillation — is exactly the trade inference economics wants: subquadratic cost without a quality tax. The caveat is that 'matches dense attention' comes from the vendor's own benchmark suite, and sparse attention has a graveyard of methods that ace retrievable tasks while quietly degrading on multi-hop reasoning, so independent replication is the real test.… more
The retrofit angle is genuinely novel, though: if it holds, existing checkpoints could be upgraded to cheap long-context post-hoc instead of retraining from scratch. It also fits Zyphra's lineage of attacking attention cost head-on after the Zamba hybrids.
Zyphra AI Introduces Zyphra Hierarchical Attention (ZHA): A Path to True Subquadratic Attention
Zyphra Hierarchical Attention (ZHA) is a tree-indexed sparse attention method that retrofits frozen LLMs with 4B tokens of distillation, matching dense attention on reasoning and 256K retrieval benchmarks. The post Zyphra AI Introduces Zyphra Hierarchic…
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