🧠 Antonio Gemma3 Evo Q4

Self-learning AI for Raspberry Pi Tested: 3.32 t/s, 100% reliable over 60 minutes

QUICK START

ollama run antconsales/antonio-gemma3-evo-q4

IMPORTANT: Two Usage Modes

Ollama Only (this model): • Fast inference: 3.32 t/s • Bilingual: IT/EN • Offline, privacy-first • NO EvoMemory (doesn’t save chats) • NO RAG (doesn’t retrieve memories)

Full Stack (GitHub): • EvoMemory: saves neurons • RAG-Lite: retrieves past experiences • Auto-evolution: generates rules • GitHub: github.com/antconsales/antonio-gemma3-evo-q4

BENCHMARKS (Raspberry Pi 4, 4GB)

Throughput: 3.32 t/s (256 tokens) Reliability: 100% (⁴⁵⁵⁄₄₅₅ requests, 60min) Temperature: 70.2°C avg (no throttling) Memory: 42% RAM (no leaks)

Full report: github.com/antconsales/antonio-gemma3-evo-q4/blob/main/BENCHMARK_REPORT.md

LINKS

GitHub: github.com/antconsales/antonio-gemma3-evo-q4

HuggingFace: huggingface.co/chill123/antonio-gemma3-evo-q4

Donate: paypal.com/donate/?business=58ML44FNPK66Y&currency_code=EUR

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