MatterWaveAI/open-s1-grt-30m
text-classification model by MatterWaveAI
From the publisher
Model card & documentation
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Open-S1-GRT-30M is a zero-nn.Linear System-1 Calibrated Agent Reflex & Decision Scorer built on the 29.31M-parameter MatterWaveAI/grt-30m Geometric Rotation Transformer backbone (12 blocks, dmodel = 256, 2,048 context window, 151,669 Qwen 3 BPE vocabulary). Instead of invoking a slow autoregressive frontier LLM for routine agent control-loop decisions, open-s1-grt-30m scores discrete agent choices in a single forward pass on the toroidal manifold $(S^1)^{128}$ with temperature-calibrated probabilities and subword circular phase pooling…
Read the full model card ↗ · Preview checked 2026-11-07T08:14:05.240Z
Inside the original model card — Document outline
- Open-S1-GRT-30M (MatterWaveAI/open-s1-grt-30m)
- Supported System-1 Question Families (s1heads.safetensors)
- Benchmarks & Position-Invariance Guarantees
- 8-Way Classical Geometric Optimizer Ablation (optimizerablationresults.json)
- Per-Family System-1 Accuracy Across Optimizers
- Complete MatterWaveAI/grt-30m Research Suite on Hugging Face
- License
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
MatterWaveAI/open-s1-grt-30m is a text-classification model repository published by MatterWaveAI on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 29,844,597
- Architecture
- GRTForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-07T06:36:44.000Z
- Last modified
- 2026-11-07T06:36:45.000Z
Compatibility and lineage
Reported languages: en
Reported base models: MatterWaveAI/grt-30m
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 2026-11-07T06:54:27.277Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.