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FINAL-Bench/Darwin-Chimera-4B-MoE-2E-PoC

🤗 Hugging Face sourcetext-generationapache-2.08.7B params17 GBsafetensors✓ 2 checksumsupdated today
Submit in one command

Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo FINAL-Bench/Darwin-Chimera-4B-MoE-2E-PoC ./model-folder
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Darwin-Chimera-4B-MoE-2E-PoC (private)

2-expert MoE upcycling PoC: Qwen3.5-4B (expert0) + Reasoning-Fix (expert1), fused as one Qwen3.5-MoE with a trained router (frozen experts).

What it proves

  • Two parents' FFNs preserved 100% as frozen experts (trace intact, single-parent non-reducible).
  • Router trained (163K params) → both experts genuinely used (~49-56%), coherent generation.
  • Honest result: neutral vs base on accuracy (parents too similar) — this is a mechanism/originality PoC, not a performance model. Real gains come from divergent parents + RFT-edge (see Darwin-V9-Chimera-4B-RFT).

Build/verify scripts: chimera_build.py / chimera_router_train.py / chimera_verify.py.