A user on the r/LocalLLaMA subreddit is seeking assistance with optimizing their GPU VRAM usage for running smaller language models. Despite successfully running larger models like Gemma4 26B and Qwen 3.6 35B MoEs, they are encountering issues with smaller models like Gemma4-2B still utilizing system RAM. The user has experimented with various command-line options for llama.cpp but has not yet achieved full VRAM utilization without relying on host memory. AI
RANK_REASON User-generated content on a niche subreddit about optimizing a specific software tool for running models locally.
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