Repo · Benchmarks & research
Dlm Jev
Jev-style local decision engine on DiffusionGemma 26B-A4B that reads one label-token slot per question in a single decoder pass to return…
Open github.com ↗From the repository
Jev-style typed decision engine on a diffusion LM (DiffusionGemma + MLX): one-pass slot reads, calibration, domain LoRA. Not affiliated with TypeSafe AI.
calibrationdiffusion-language-modeldiffusiongemmadlmjevloramlx
How builders describe it
Jev-style local decision engine on DiffusionGemma 26B-A4B that reads one label-token slot per question in a single decoder pass to return distributions without generating text.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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