A proposal suggests a shift within the r/LocalLLaMA community towards creating private, quality-focused benchmarks for large language models. The author argues that the current obsession with token-per-second (tok/s) metrics is detrimental and that the community should instead focus on sharing results from internal quality assessments. This approach aims to combat the trend of "benchmaxxing" prevalent in the open-weight LLM space. AI
IMPACT Suggests a potential shift in how open-source LLM communities evaluate and share model performance.
RANK_REASON The item is a proposal and opinion piece from a community forum, not a primary release or significant industry event.
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