OPEN LINK ↗
// 78d 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
78d ago
2026-03-11
PUBLISHED
78d ago
2026-03-11
RELEVANCE
5/ 10
AUTHOR
Opening-Ad6258