Lazyshu/Nebula-Zero-Connect6-Pair
AI model by Lazyshu
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Model card & documentation
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面向六子棋的原生双落子策略价值网络。模型从随机初始化开始，通过自对弈训练； 一次策略动作直接表示无序棋子对，而不是把一回合拆成两次独立决策。 This is a native unordered-pair policy/value network for Connect6, trained from random initialization with self-play. One policy action represents a complete two-stone turn. at most 96 board tokens pairnativev3inference.pth is the recommended inference artifact. pairnativev3training.pth additionally contains optimizer state for research continuation. Search strength depends strongly on the MCTS budget; the production self-play range was 400–1200 simulations per complete turn. The implementation lives in experiments/pairnative/ of Nebula-Zero-Connect6. 400 simulations per complete turn This gate compares the candidate…
Read the full model card ↗ · Preview checked 2026-10-28T16:25:06.599Z
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Model overview
Lazyshu/Nebula-Zero-Connect6-Pair is a task-unspecified model repository published by Lazyshu on Hugging Face. The source reports the pytorch library.
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Model facts
- Task
- Not reported
- Library
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-12T06:16:44.000Z
- Last modified
- 2026-10-12T06:18:23.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-12T06:41:18.150Z. Daily imports are snapshots, not real-time monitoring.
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