Darwin 9B NEG — The First Native Entropy Gating Model Qwen3.5 9B backbone · 8.95B parameters · BF16 · Thinking Mode · Apache 2.0 The first NEG enabled model — self regulating reasoning with no extra library. Abstract Darwin 9B NEG is the first model in the Darwin series to feature Native Entropy Gating (NEG) — a proprietary Darwin architectural innovation that embeds a sense of self confidence directly into the model weights. Unlike external multi turn iteration (MTI) techniques that require 3×–8× extra inference, NEG operates inside the single decoding loop and activates in fewer than 5 % of generation steps, lifting reasoning accuracy by more than 12 percentage points at 1× inference cost . On the GPQA Diamond PhD level reasoning benchmark (198 questions), Darwin 9B NEG scores 84.34 % with the full 3 stage ensemble protocol — surpassing even the published Qwen3.5 9B leaderboard result (81.7 %). What Makes Darwin 9B NEG Different 🧬 Darwin Series — Evolutionary Model Merging The Darwin family is produced by Darwin V7 , an evolutionary breeding engine that recombines two parent LLMs into a single descendant, preserving hybrid vigour across reasoning and knowledge capabilities. Darw…
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