Ollama Benchmark on Jetson Nano: Quantization vs Accuracy

A developer tested Ollama models on a Jetson Nano, finding that qwen2.5:3b-instruct achieved 100% accuracy across quantizations, while llama3.2:3b-instruct dropped to 40% at q2_K. Mistral:7b-instruct hit 100% at q4_K_M but varied at other levels. The results highlight the trade-off between model size and accuracy on low-power hardware.