Model2h ago
New LLMs Slash Long-Context Memory Costs
KV sharing and compressed attention mechanisms now drive efficiency in Gemma 4 and DeepSeek V4. These architectural shifts reduce the memory overhead required for massive context windows. Developers can now deploy long-context models on smaller hardware footprints. This trend prioritizes inference efficiency over raw parameter scaling for open-weight releases.