Are quantized small models the real sweet spot for local AI?
sunychoudhary · reddit · 2026-09-19
Following recent Qwen 3.8 and DeepSeek releases, a Reddit poster argues the local AI competition is shifting from running the biggest model to practical small ones. A model fitting 16–24GB VRAM with solid tool calling and daily-usable speed may beat a multi-GPU giant, and 27B-class quantized models already power surprisingly capable agentic coding workflows. They ask what matters most now: raw intelligence, VRAM, tokens/sec, context length, or tool-calling reliability.
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