Model13h ago
New LLMs Slash Long-Context Memory Costs
KV sharing and compressed attention now define the architecture of Gemma 4 and DeepSeek V4. These techniques minimize the memory footprint required for massive context windows. Developers gain faster inference speeds and lower VRAM overhead. This shift makes deploying long-context models viable on consumer-grade hardware without sacrificing retrieval accuracy.