Data Science Wire

Releasing smolbenchmark: Helps you choose the best model for your hardware!

Reddit r/LocalLLaMA3d4 min read

Most model leaderboards assume a server with powerful GPUs to run models that people daily use. However, my smolbenchmark is the other column: models that fit in 8GB, ranked by: decode speed, tokens per joule, and heat, and all of this on your OWN hardware ranging from: tablets phones macs jetsons raspberry pis Currently, 13 families on the chart right now, ~1000 configs for the Jetson nano Orin Super 8GB. One device is live measuring: tok/s tok/J ITL latency power metrics thermals and battery Models that are small enough to actually fit on a device that you own. All the performance benchmarki

Read the full story at Reddit r/LocalLLaMA

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