Local LLM debate: Small, smart models vs. efficient large models

The future of local large language models (LLMs) is being debated, with a focus on whether optimization will lead to smaller, highly capable models or more efficient large ones. One user shared experiences running models on CPU, noting that a smaller model like MiniCPM5 2B struggled with accuracy despite a faster processing speed. In contrast, a larger model, Qwen3.6 35B, though slower, provided significantly better results, suggesting that efficiency in large models may be key for local deployment. AI

IMPACT Debate on LLM optimization strategies may influence future local deployment and hardware requirements.

RANK_REASON User discussion on the future direction of LLM optimization.

Read on r/LocalLLaMA →

• MiniCPM5 2B
• Qwen3.6 35B
• super-efficient large models
• Super-intelligent small models

• other

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