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FINAL-Bench
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Model Details
Model Provider
FINAL-Bench
Model Tree
CohereLabs/command-a-plus-05-2026-bf16
FINAL-Bench/Darwin-218B-kr
Input Modalities
Output Modalities
Supported Functionality
markdown
GPQA Diamond (198 questions) — Darwin-218B-Delphi─────────────────────────────────────────────────────────────Method | Accuracy─────────────────────────────────────────────────────────────Darwin-218B-Delphi baseline (MAJ@8) | 86.87% (172/198)Darwin-218B-Delphi (DELPHI cascade) | 90.91% (180/198)─────────────────────────────────────────────────────────────DELPHI improvement | +4.04pp (+8 questions)
| Model | GPQA Diamond | Mode |
|---|---|---|
| GPT-5 (OpenAI) | 88.0% | thinking |
| Claude Opus 4.5 (Anthropic) | 91.8% | extended thinking |
| DeepSeek-V3.2 | ~78-82% | standard |
| Darwin-218B-Delphi (MAJ@8) | 86.87% | standard |
| Darwin-218B-Delphi (DELPHI) | 90.91% | VIDRAFT signature |
→ DELPHI cascade로 Claude Opus 4.5 extended thinking 동급권 진입.
markdown
🧓 GRANDFATHER (조부) 🧓 GRANDMOTHER (조모)─────────────────── ───────────────────CohereLabs/ Anthropic Claudecommand-a-plus-05-2026-bf16 Opus 4.5(Apache-2.0) (chemistry knowledge donor)218B MoE / ~25B active via SFT distillation128 experts, BF16 (no logits, output-only)│ ││ │└────────────────┬──────────────────────┘│▼👨 FATHER (부친) 👩 MOTHER (모친)─────────────────── ───────────────────FINAL-Bench/ FINAL-Bench/Darwin-218B-kr darwin-chem-data-v1(Korean LoRA merged) (993 chemistry CoT samples,Korean fluency layer 6 sub-domains,anti-contamination guaranteed)│ ││ │└────────────────┬──────────────────────┘│▼👦 CHILD (자식 / THIS MODEL)──────────────────────────────FINAL-Bench/Darwin-218B-Delphi──────────────────────────────• Korean + Chemistry specialist• 218B MoE, ~25B active• Apache-2.0• GPQA Diamond 90.91% (DELPHI cascade)• Served via DELPHI 5-Phase inference
Distillation:
| Item | Value |
|---|---|
| Total parameters | 218B |
| Active parameters | ~25B (MoE) |
| Experts | 128 (Cohere2 MoE) |
| Precision | BF16 |
| Architecture | Cohere2VisionForConditionalGeneration (multimodal-capable, text-primary) |
| Tokenizer | Cohere2 (vocab 256K) |
| Languages | English, Korean |
| Context | 65,536 tokens |
bash
vllm serve FINAL-Bench/Darwin-218B-Delphi \--tensor-parallel-size 8 \--dtype bfloat16 \--max-model-len 65536 \--trust-remote-code \--enforce-eager \--limit-mm-per-prompt '{"image":0,"video":0}'
Requires vLLM ≥ 0.21.0 (Cohere2VisionForConditionalGeneration support).
python
from transformers import AutoModelForCausalLM, AutoTokenizerimport torchmodel = AutoModelForCausalLM.from_pretrained("FINAL-Bench/Darwin-218B-Delphi",dtype=torch.bfloat16,device_map="auto",trust_remote_code=True,)tok = AutoTokenizer.from_pretrained("FINAL-Bench/Darwin-218B-Delphi")messages = [{"role": "user", "content": "Explain the SN2 mechanism step by step, ""then justify why CH3I reacts faster than CH3Cl."}]prompt = tok.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)inputs = tok(prompt, return_tensors="pt").to(model.device)out = model.generate(**inputs, max_new_tokens=2048, temperature=0.3, top_p=0.9)print(tok.decode(out[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))
Apache License 2.0
Built upon CohereLabs/command-a-plus-05-2026-bf16 (Apache-2.0) and Darwin-218B-kr (Apache-2.0). All upstream components are permissively licensed.
bibtex
@misc{darwin-218b-delphi-2026,title = {Darwin-218B-Delphi: Chemistry-Specialized 218B MoE with DELPHI Cascade Inference},author = {{VIDRAFT FINAL-Bench Team}},year = {2026},publisher = {Hugging Face},howpublished = {\url{https://huggingface.co/FINAL-Bench/Darwin-218B-Delphi}}}
| License | Apache-2.0 |