Simple Benchmark Review: Ollama on Jetson Nano
6.4 relevance
Score Breakdown
technical depth 7
novelty 6
actionability 7
community 4
strategic 5
personal 8
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Ollama benchmarks on Jetson Nano, relevant to edge AI deployment.
Summary
Benchmarking Ollama on a Jetson Nano (with swap file for RAM) found qwen2.5:3b-instruct achieved 100% accuracy across all quantizations (q4_K_M to q8_0) for flashcard/quiz generation, while qwen3.5:2b produced empty outputs. Llama3.2:3b-instruct topped at 90%, and mistral:7b-instruct hit 100% at q4_K_M but higher quants exceeded GPU memory. Results are based on only 10 questions, limiting statistical confidence.