I’m using ONNX Runtime with 4-bit quantization on a Raspberry Pi 4. I preload the quantized model into shared memory so multiple processes can reuse it. Evict old sessions by LRU when I hit a 1 GB RAM cap. For batching, I accumulate inputs over 50 ms to boost throughput without hurting latency. So far I get ~15 RPS on a 7 B Llama 2 model.