Model22h ago
New LLM Architectures Slash Long-Context Costs
KV sharing and compressed attention now power models like Gemma 4 and DeepSeek V4. These techniques reduce the memory overhead required for massive context windows. By optimizing how tokens are stored and retrieved, developers can run longer prompts on cheaper hardware. This shift makes high-context applications more viable for open-weight deployments.