Model4d ago
Open-Weight Models Slash Long-Context Costs
KV sharing and compressed attention now drive efficiency in models like Gemma 4 and DeepSeek V4. These architectural shifts reduce the memory overhead required for massive context windows. Developers can now deploy longer-context applications without linear increases in VRAM usage. This trend makes high-token processing viable for smaller hardware setups.