REDDIT · REDDIT// 32d agoNEWS

Galaxy Tab A9+ fits tiny local LLMs

A LocalLLaMA user asks which model can handle local roleplay on a Galaxy Tab A9+ with 4GB RAM. The only concrete recommendation points to heavily quantized small models, especially Qwen 3.5 2B at Q4 or Gemma 3 4B at Q2-3, with a Q2 7B model floated as a stretch option.

// ANALYSIS

This is a useful reality check on mobile local inference: low-end Android hardware can run local LLMs, but only if users accept tiny models, aggressive quantization, and clear quality tradeoffs.

–Qwen 3.5 2B is the safest suggestion because a Q4 quant should stay near the memory budget
–Gemma 3 4B is presented as another viable fit, but lower-bit quants will likely hurt RP quality more noticeably
–A 7B model at Q2 is technically possible on paper, yet speed, thermals, and Android runtime support will matter as much as RAM
–The thread reads more like enthusiast troubleshooting than a breakthrough, which keeps it relevant but not especially newsworthy

// TAGS

galaxy-tab-a9-plusllmself-hostedinferenceopen-weights

DISCOVERED

32d ago

2026-03-11

PUBLISHED

32d ago

2026-03-11

RELEVANCE

5/ 10

AUTHOR

Opening-Ad6258