Unverified50% confidenceBenchmarkExact time
Darwin-27B-ZTC-v2 ranked 1st out of 102 models on the System One Mosaic Benchmark decision engine leaderboard.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/12/2026
First Seen
Valid until: 10/26/2026
Sources
Related Entities
Related Claims
UnverifiedDarwin-27B-ZTC-v2 achieved a Borda score of 89.58 and a task average score of 66.46.69% similarUnverifiedDarwin-27B-ZTC-v2 uses a method called Zero-Token Calibration (ZTC).66% similarUnverifiedV4 Pro Max满血推理模式下算法竞赛3206分、编程93.5分、科学问答90.1分、软件工程80.6分、终端操作67.9分57% similarUnverifiedThe author's fine-tuning used the QLoRA method, with LoRA rank/alpha of 32/64, a learning rate of 1e-4, batch size 1 with gradient accumulation of 16, AdamW 8-bit optimizer, and training for 1 epoch.57% similarUnverifiedThe author noted that other models previously tested, such as 35B and 3B variants, actually performed worse than the Q2 version of Qwen3 27B on the Kanban task.57% similar
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