jasonyandell/gus
AI model by jasonyandell
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Model card & documentation
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757,184 parameters; 15 blocks, width 64, two heads. The registered population campaign finished at its final depth's operational plateau. Selection used the fixed 256-hand development panel, before the fresh confirmation panel was evaluated. The complete formation history remains archived. On the reserved 512-hand G0/Zeb mixed-table panel, this model's team won 45.70%, versus G0's 45.90%. The paired difference is -0.20 percentage points, 95% whole-hand bootstrap interval [-2.73, +2.34] (2,000 resamples, seed 42). This is one candidate-controlled seat, fixed mixed partners/opponents, bid 30, pip declarations and legal argmax. It is not a general tournament rating. The separate full-game comparisons were two-game integration smokes only. The stopping rule was four generations without a two-percentage-point development gain, at depths 2, 4, 8, 12 and 15. Best development weights, including a depth's identity-grown initialization, remained eligible. Identity-grown initialization selected: True. An operational plateau does not prove a capacity ceiling. Neuron meanings remain for separate interpretation.…
Read the full model card ↗ · Preview checked 2026-10-31T16:20:22.694Z
Inside the original model card — Document outline
- Gus — selected 757k depth-campaign specimen
- Confirmation and scope
- Inputs, outputs and learning
- Load and reproduce
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Model overview
jasonyandell/gus is a task-unspecified model repository published by jasonyandell on Hugging Face. The source reports the pytorch library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 107,392
- Architecture
- Not reported
- License
- cc0-1.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-18T05:57:56.000Z
- Last modified
- 2026-10-18T05:57:58.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-18T06:43:02.030Z. Daily imports are snapshots, not real-time monitoring.
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