llama.cpp adds Gemma 4 support

Gemma 4's integration marks a pivot toward complex reasoning architectures in the open-weights ecosystem, moving beyond simple chat completion.

• –New specialized tokens like <|channel|> and <|turn|> suggest a shift toward native multi-agent and multi-modal handling
• –Native support for "reasoning traces" brings Google's open models into direct competition with specialized reasoning powerhouses like DeepSeek-R1
• –26B A4B variant architecture hints at a hybrid attention mechanism optimized for long-context reasoning tasks
• –Rapid day-zero support from llama.cpp reinforces its status as the industry-standard gateway for local AI deployment
• –vLLM parity ensures developers can transition from cloud-scale inference to local dev environments without prompt re-engineering