YuvrajSingh9886/bonsai-jetson-benchmark-15w
Bonsai Jetson Benchmark — 15W Platform: NVIDIA Jetson Orin Nano Super 8GB · Power mode: 15W Backend: llama.cpp build-jetson · CUDA · -ngl 99 Sweep: prompt ∈ {256, 512, 1024, 2048} tok × gen ∈ {128, 256, 512} tok · 20 reqs/combo Status: Complete — 57 combos (5 models × 12 prompt/gen configs) Key metric: tok/J = output tok/s ÷ VDD_CPU_GPU_CV (W) Models Model Quant Size Bonsai-1.7B Q1_0 (1-bit) ~237 MB Bonsai-4B Q1_0 (1-bit) ~540 MB Bonsai-8B Q1_0… See the full description on the dataset page: https://huggingface.co/datasets/YuvrajSingh9886/bonsai-jetson-benchmark-15w.
docs: tighten the support footer (project info + Ko-fi + sponsors)
docs: add support footer (project info + Ko-fi + sponsors)
Switch dataset card to CC BY 4.0 and add citation.
Sync full 15W benchmark data (all models, all cells)
Pin dataset viewer to results.parquet, fix YAML config
Add YAML metadata to dataset card
Add flat results.parquet for dataset viewer
Add bonsai-all-20260525-0243 benchmark data
initial commit