YESSS LLAMA.CPP IS UPDATED AND IT DOESN'T TAKE UP PETABYTES OF VRAM
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FINALLY GEMMA 4 KV CACHE IS FIXED
Reddit r/LocalLLaMA / 4/4/2026
📰 NewsDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical Usage
Key Points
- The post claims that llama.cpp has been updated to address a KV cache issue for Gemma 4, making local inference more feasible.
- It emphasizes that the fix avoids extremely high VRAM usage (described as “petabytes of VRAM”), implying a major reduction in memory requirements.
- The update is shared via a Reddit thread, suggesting the information is community-reported rather than an official technical release note.
- The overall takeaway is improved practicality for running Gemma-class models locally with llama.cpp after the KV cache correction.
submitted by /u/FusionCow
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