Model1d ago
Open-Weight Models Slash Long-Context Costs
KV sharing and compressed attention now power models like Gemma 4 and DeepSeek V4. These architectural shifts minimize memory overhead during long-context processing. The result is faster inference and lower VRAM requirements. Practitioners can now deploy larger context windows on consumer-grade hardware without sacrificing performance or increasing latency.