Model3h ago
New LLM Architectures Slash Long-Context Costs
KV sharing and compressed attention now define the latest open-weight models like Gemma 4 and DeepSeek V4. These techniques reduce memory overhead during long-context inference. This shift allows developers to process massive datasets without linear increases in VRAM usage. It makes high-token window applications computationally feasible for smaller hardware setups.