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Gemma System One turns Google's Gemma 3 4B model into a typed decision function in native Rust using Candle, skipping open-ended text generation entirely: a single forward pass produces logits over the legal answer options, which are softmaxed into a typed answer instead of generated, parsed text. On an Apple M1 Pro it measures 47ms per warm decision (21.2 decisions/sec) and scores 58.9% on JevBench's 231 public decisions.

Why it made the leaderboard

This library turns Gemma 3 4B into a typed decision function via a single forward pass over legal-label logits instead of token generation, giving native Rust apps a 47ms, no-parser way to get structured LLM decisions.

Tags

gemmarustcandlellm-inferencedecision-making

Tech Stack

Rust

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