Darwin-27B-KR

Darwin-27B-KR — Korean Hybrid Vigor through Evolutionary FFN Breeding

<p align="center"> <a href="https://huggingface.co/FINAL-Bench/Darwin-27B-Opus"><img src="https://img.shields.io/badge/🧬_Father-Darwin--27B--Opus-blue?style=for-the-badge" alt="Father"></a> <a href="https://huggingface.co/FINAL-Bench/Darwin-27B-KR"><img src="https://img.shields.io/badge/⭐_Child-Darwin--27B--KR-gold?style=for-the-badge" alt="Child"></a> </p> <p align="center"> <a href="https://huggingface.co/FINAL-Bench/Darwin-4B-Genesis"><img src="https://img.shields.io/badge/🧬_Model-Darwin--4B--Genesis-blue?style=for-the-badge" alt="Genesis"></a> <a href="https://huggingface.co/FINAL-Bench/Darwin-9B-Opus"><img src="https://img.shields.io/badge/🧬_Model-Darwin--9B--Opus-blue?style=for-the-badge" alt="9B"></a> <a href="https://huggingface.co/FINAL-Bench/Darwin-31B-Opus"><img src="https://img.shields.io/badge/🧬_Model-Darwin--31B--Opus-blue?style=for-the-badge" alt="31B"></a> <a href="https://huggingface.co/FINAL-Bench/Darwin-35B-A3B-Opus"><img src="https://img.shields.io/badge/🧬_Model-Darwin--35B--A3B--Opus-blue?style=for-the-badge" alt="35B"></a> </p> <p align="center"> <a href="https://huggingface.co/collections/FINAL-Bench/darwin-family"><img src="https://img.shields.io/badge/🏠_Darwin_Family-Collection-green?style=for-the-badge" alt="Family"></a> <a href="https://huggingface.co/spaces/FINAL-Bench/Leaderboard"><img src="https://img.shields.io/badge/🏆_FINAL_Bench-Leaderboard-green?style=for-the-badge" alt="FINAL Bench"></a> </p>

Qwen3.5-27B Dense | 27B Params | Thinking Mode | 262K Context | 201 Languages | BF16 | Apache 2.0
The child outperforms both parents on Korean cultural intelligence — Hybrid Vigor confirmed at 27B scale

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What Is This?

Darwin-27B-KR is a second-generation Darwin model bred from two complementary parents:

• Father (Darwin-27B-Opus): Qwen3.5-27B evolved with Claude 4.6 Opus reasoning FFN — strong in logical reasoning and deep inference
• Mother (Qwen3.5-27B-KoSFT): Qwen3.5-27B fine-tuned with 230K+ Korean language samples — strong in Korean cultural knowledge and linguistic understanding (private, purpose-bred for Korean knowledge reinforcement)

The Darwin V6 engine automatically discovered that 93.3% of FFN layers should come from the Mother, while preserving 93.2% of the Father's Attention layers — confirming the core Darwin principle: FFN carries knowledge, Attention carries reasoning.

The result: the child outperforms both parents on every Korean benchmark category, a phenomenon known as Hybrid Vigor (잡종강세).

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Hybrid Vigor: 4-Generation CLIcK Comparison

CLIcK (Cultural and Linguistic Intelligence in Korean) — 200 questions, 0-shot, loglikelihood evaluation.

The child surpasses both parents. Two generations of zero-training evolution achieved +6.07%p over the original Qwen3.5-27B.

Detailed Category Breakdown

Child wins 7 out of 11 categories. The largest gains are in Law (+9.5%p over Father), Functional Language (+7.6%p), and History (+6.5%p).

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Why This Matters

1. Hybrid Vigor at 27B Scale

Previously demonstrated at 4B (Darwin-4B-Genesis, CLIcK 92%). Now confirmed at 27B: the child exceeds both parents on Korean cultural and linguistic intelligence with zero additional training.

2. CMA-ES Discovered the Optimal Breeding Strategy

The evolutionary optimizer automatically determined:

• FFN ratio: 93.3% → Almost entirely Mother's Korean knowledge
• Attention ratio: 6.8% → Almost entirely Father's reasoning chains
• This independently confirms our finding: "FFN = knowledge (safe to swap), Attention = reasoning (must preserve)"

3. Ancestral Knowledge Tracking

By evaluating all four generations (Ancestor → Father → Mother → Child), we can trace how knowledge flows through evolutionary breeding:

• Father inherits Claude's reasoning but loses some Korean knowledge
• Mother gains Korean knowledge through SFT
• Child combines both — inheriting the best of each lineage

4. Zero Training Cost

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How It Works: Evolutionary FFN Breeding

Father: Darwin-27B-Opus (Claude reasoning FFN)
Mother: Qwen3.5-27B-KoSFT (Korean knowledge FFN)
Both:   hidden_size=4096, intermediate=17408, 64 layers
        = 100% structurally compatible

Method: CMA-ES optimizes per-block breeding ratios
        across 14 genome dimensions
Fitness: kmmlu_lite (Korean knowledge benchmark)
Result: Child inherits Mother's Korean FFN knowledge
        while preserving Father's reasoning Attention

Optimal Genome (Discovered by CMA-ES)

global_ratio:    0.4812    Overall 48:52 Father:Mother balance
attn_ratio:      0.0681    Attention 93.2% from Father (reasoning preserved!)
ffn_ratio:       0.9334    FFN 93.3% from Mother (Korean knowledge absorbed!)
embed_ratio:     0.3678    Embedding 63:37 Father:Mother
density_a:       0.9699    Father density (DARE sparsity)
density_b:       0.9767    Mother density (DARE sparsity)
mri_trust:       0.5333    MRI guidance weight

Block-Level Ratios

Block 0 (L0-10):   0.6041    Mother-leaning (early layers)
Block 1 (L11-21):  0.4107    Balanced
Block 2 (L22-32):  0.3975    Father-leaning (core reasoning)
Block 3 (L33-43):  0.6078    Mother-leaning (knowledge layers)
Block 4 (L44-54):  0.7820    Strong Mother (Korean knowledge peak)
Block 5 (L55-64):  0.3960    Father-leaning (output reasoning)

Key insight: CMA-ES applied the strongest Mother influence to Block 4 (L44-54), which corresponds to deep knowledge layers, while preserving Father's reasoning in Blocks 2 and 5.

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Evolution Parameters

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Family Tree

Qwen/Qwen3.5-27B (Ancestor, CLIcK 69.52%)
├── × Jackrong/Claude-4.6-Opus-Reasoning-Distilled
│   └── Darwin-27B-Opus (Father, Gen 1, CLIcK 70.19%)
│       │   + Claude reasoning FFN
│       │   + GPQA Diamond 74.7% greedy
│       │
│       └── × Qwen3.5-27B-KoSFT (Mother, CLIcK 74.74%)
│           │   + 230K Korean SFT samples
│           │   + K-AI Leaderboard caliber
│           │
│           └── ★ Darwin-27B-KR (Child, Gen 2, CLIcK 75.59%)
│                 Hybrid Vigor: surpasses BOTH parents!
│                 FFN 93.3% Mother + Attention 93.2% Father

DNA Composition

Qwen3.5-27B (foundation)              ~40%
Claude 4.6 Opus (reasoning patterns)  ~5% (via Father's Attention)
Korean SFT (cultural knowledge)       ~55% (via Mother's FFN)

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Model Specifications

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Usage

Transformers

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

tokenizer = AutoTokenizer.from_pretrained(
    "FINAL-Bench/Darwin-27B-KR", trust_remote_code=True
)
model = AutoModelForCausalLM.from_pretrained(
    "FINAL-Bench/Darwin-27B-KR",
    torch_dtype=torch.bfloat16,
    device_map="auto",
    trust_remote_code=True,
)

messages = [{"role": "user", "content": "한국의 전통 혼례 절차에 대해 설명해주세요."}]
text = tokenizer.apply_chat_template(
    messages, tokenize=False, add_generation_prompt=True
)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=4096, do_sample=False)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))

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VRAM Requirements

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Darwin 27B Family

*GPQA evaluated with greedy decoding; maj@8 retry in progress (estimated 88.9%)

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Key Findings

1. FFN = Knowledge, Attention = Reasoning — CMA-ES independently discovered this by assigning 93.3% FFN from Mother (Korean) and 93.2% Attention from Father (reasoning)

2. Hybrid Vigor scales with model size — Confirmed at 4B (Genesis, CLIcK 92%) and now at 27B (KR, CLIcK 75.59%)

3. Zero-training evolution works recursively — Gen 0 → Gen 1 → Gen 2, each generation improving, with zero gradient updates

4. Ancestral knowledge is preserved — Despite two generations of breeding, core Qwen3.5-27B capabilities remain intact

5. Korean knowledge transfers through FFN — The Mother's 230K Korean SFT knowledge was successfully transplanted into the child via FFN breeding

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Roadmap

• Full GPQA Diamond evaluation (greedy + selective maj@8 retry)
• K-AI Leaderboard official submission (KMMLU-Pro, CLIcK, HLE, MuSR, Com2)
• MMLU-Pro evaluation and HF leaderboard registration
• Cross-architecture breeding at 27B scale (Transformer × Mamba FFN)
• Third-generation breeding with domain-specific mothers

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References

• DARE-TIES: Yadav et al., 2023 (https://arxiv.org/abs/2311.03099) — re-implemented, not library-dependent
• CLIcK: Kim et al., 2024 (https://arxiv.org/abs/2403.06412) — Cultural and Linguistic Intelligence in Korean
• Darwin V6 Engine: https://huggingface.co/spaces/ginigen-ai/DARWIN-V5-BACKUP
• FINAL Bench: https://huggingface.co/spaces/FINAL-Bench/Leaderboard
• Darwin Family Collection: https://huggingface.co/collections/FINAL-Bench/darwin-family

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Built By

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Citation

@misc{vidraft_darwin_27b_kr_2026,
  title        = {Darwin-27B-KR: Korean Hybrid Vigor through Evolutionary FFN Breeding},
  subtitle     = {Child Surpasses Both Parents on Korean Cultural Intelligence with Zero Training},
  author       = {VIDRAFT},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/FINAL-Bench/Darwin-27B-KR}}
}