Darwin-398B-JGOS — Darwin V9 Platform · 397B MoE · GPQA 90.9 % · MMLU-Pro 88.08 % (Pure Greedy)

👁 GPQA
👁 MMLU-Pro
👁 REASON

👁 Opus
👁 36B

👁 Family
👁 FINAL Bench

Largest Darwin model · Qwen 3.5 397B base + Darwin V9 FFN transplant · 397B MoE (~17B active) · BF16 GPQA Diamond: 90.9 % — pure greedy, single-sample, NO test-time engine

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Overview

Darwin-398B-JGOS is the largest and highest-scoring member of the Darwin family. Built on Qwen 3.5 397B as the base, it transplants the FFN (expert) strengths of multiple high-performance models through the Darwin V9 platform, producing a 397B-parameter Mixture-of-Experts model with ~17B active parameters per token.

It reaches 90.9 % on GPQA Diamond with pure greedy decoding (single sample) — surpassing Darwin-28B-REASON (89.39 %, achieved with the Darwin-DELPHI test-time engine) without using any test-time engine at all. This is the highest GPQA Diamond score in the Darwin family to date.

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🧬 Darwin Platform & Research

Darwin is VIDRAFT's measuring-result-driven reasoning model family — approximately 20 official models plus 400+ community derivatives, ranking among the top open models on GPQA.

• Darwin V9 platform — evolutionary FFN/expert transplant and trust-weighted merging onto large-scale MoE backbones.
• FINAL Bench — VIDRAFT's evaluation framework.
• 4-layer Pre-AGI roadmap — Darwin → AETHER → PROMETHEUS → HEPHAESTUS.

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🧬 Model Lineage

The full Darwin V9 merge recipe — source models, weighting, and density — is proprietary and not disclosed (trade secret).

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⚙️ Technical Specifications

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🔬 Core Technique — Darwin V9 Platform

Darwin V9 transplants the FFN (expert) strengths of multiple high-performance models onto a Qwen 3.5 397B MoE base, then applies trust-weighted evolutionary merging.

The source models, merge weights, and density schedule are proprietary and constitute a trade secret; they are not published.

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🏆 Benchmark — GPQA Diamond (198 questions)

GPQA Diamond is a 198-question, PhD-level graduate science reasoning benchmark.

Reproducible evaluation settings:

• Greedy decoding (temperature = 0), single sample — no voting / self-consistency / test-time engine
• Max generation: 16,384 tokens
• Answer options shuffled (seed = 42)
• Hardware: NVIDIA B200 (tensor-parallel 2 × pipeline-parallel 3, 6 GPUs)
• Inference engine: vLLM, bfloat16, max_model_len = 18432

Darwin-398B-JGOS achieves the family's top GPQA Diamond score using nothing but greedy decoding — no Darwin-DELPHI, no majority voting.

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📊 Benchmark — MMLU-Pro (12,032 questions)

MMLU-Pro is a substantially harder successor to MMLU — 10 answer choices (vs 4) and 12,032 reasoning-focused questions across 14 domains.

Darwin-398B-JGOS scores 88.08 % (10,598 / 12,032) with 5-shot Chain-of-Thought and pure greedy decoding (temperature = 0, single sample) — top-tier territory.

Reproducible evaluation settings:

• 5-shot Chain-of-Thought, greedy decoding (temperature = 0), single sample — no voting / self-consistency / test-time engine
• Max generation: 14,000 tokens
• Hardware: NVIDIA B200 (tensor-parallel 2 × pipeline-parallel 3, 6 GPUs)
• Inference engine: vLLM, bfloat16, max_model_len = 18432

Strongest in STEM — Math 95.9 %, Biology 94.7 %, Physics 92.6 %, Chemistry 92.3 %.

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🚀 Usage (vLLM)

vllm serve FINAL-Bench/Darwin-398B-JGOS --tensor-parallel-size 2 --pipeline-parallel-size 3 --dtype bfloat16 --trust-remote-code

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🎯 Recommended Use-Cases

• Graduate-level STEM reasoning (GPQA / science qualifying exams)
• Mathematical problem solving
• Complex multi-step chain-of-thought
• Code generation and debugging
• Bilingual reasoning (strong English + Korean; also Chinese / Japanese)

⚠️ Limitations

• 397B MoE in bfloat16 requires multi-GPU serving (e.g. B200 ×6 with TP2×PP3).
• The 90.9 % figure is a single-run greedy measurement on GPQA Diamond (198 items).
• Reasoning traces can be verbose — control with max tokens.

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📚 Citation

@misc{darwin397b_jgos_2026,
 title = {Darwin-398B-JGOS: Darwin V9 Platform FFN Transplant on a 397B MoE Base},
 author = {FINAL-Bench / Darwin Research Team},
 year = {2026},
 howpublished = {https://huggingface.co/FINAL-Bench/Darwin-398B-JGOS},
 note = {Darwin V9 - 90.9 percent GPQA Diamond (greedy, single-sample)}
}

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🔗 Related Darwin Models

• Darwin-28B-REASON — RTD + Darwin-DELPHI, GPQA 89.39 %
• Darwin-28B-Opus — base, GPQA 88.89 % (HF-official GPQA top tier)
• Darwin-36B-Opus — MoE 36B, GPQA 88.4 %
• Darwin-27B-Opus — 27B dense, GPQA 86.9 %
• Darwin-9B-NEG — 9B Negentropy, GPQA 84.3 %

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Darwin-398B-JGOS · Darwin V9 Platform · 90.9 % GPQA Diamond (pure greedy) · FINAL-Bench

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