The r/LocalLLaMA community is discussing the best large language models that can run on consumer hardware with 16GB of RAM. Users are seeking alternatives to resource-intensive models, with Gemma 4 e4b and e2b highlighted as strong contenders. The conversation also touches on the potential for similar progress in smaller models as has been seen with larger ones, and the challenges of running 30-billion parameter models on typical machines. AI
IMPACT Focuses on accessibility and performance of LLMs on standard hardware, potentially driving development of more efficient models.
RANK_REASON Community discussion on model efficiency for consumer hardware.
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