Attention Mechanism Variants With Grouped Query Attention Gqa And Flash Attention Support

via “grouped query attention (gqa) for efficient inference scaling”

Open code model trained on 600+ languages.

Unique: Implements grouped query attention (GQA) reducing KV cache by 4-8x vs multi-head attention, enabling 16K context on 8GB GPUs where competitors require 24GB+ for equivalent context

vs others: More memory-efficient than standard transformer attention; better latency than full multi-head attention; enables long-context inference on consumer hardware where competitors require enterprise GPUs