Model8d ago
Open-Weight Models Cut Long-Context Costs
KV sharing and compressed attention now power models like Gemma 4 and DeepSeek V4. These architectural shifts reduce the memory overhead required for massive context windows. Developers gain faster inference speeds without sacrificing recall. This trend makes high-token processing viable for smaller, local hardware deployments.