Text Classification
Transformers
Safetensors
English
grt
text-generation
geometric-rotation-transformer
open-s1
system-1
agent-routing
calibrated-decision-making
Instructions to use MatterWaveAI/open-s1-grt-30m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatterWaveAI/open-s1-grt-30m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MatterWaveAI/open-s1-grt-30m")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("MatterWaveAI/open-s1-grt-30m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Open-S1-GRT-30M (MatterWaveAI/open-s1-grt-30m)
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, d_model = 256, 2,048 context window, 151,669 Qwen 3 BPE vocabulary).
Instead of invoking a slow autoregressive frontier LLM for routine agent control-loop and verification decisions, open-s1-grt-30m scores discrete choices in a single forward pass with temperature-calibrated probabilities and option-order permutation invariance (0.000 position bias).
Supported System-1 Verification & Routing Domains
| Domain | Purpose | Decision Output | Calibration Temperature |
|---|---|---|---|
| Action Routing | Select next agent step across tool, edit, test, search, ask, or finish | Up to 8 candidate actions | 1.12 |
| Complexity Escalation | Triage whether a query can be handled locally (simple) or escalated (complex) |
simple, complex |
1.08 |
| Loop Guard | Detect unproductive agent tool loops vs. productive progress | continue, intervene, abort |
1.05 |
| Specification Support | Verify whether an agent claim or diff is entailed by the task specification | supported, unsupported, ambiguous |
1.15 |
| Verification Gate | Gate whether code changes are ready to commit or require testing/repair | pass, run_tests, repair |
1.06 |
| Ontological Hierarchy | Verify 5-tier conceptual hierarchy and prerequisite ordering | 5 hierarchical tiers | 1.04 |
| Pedagogical Verification | 4-mode multi-perspective conceptual verification | 4 reasoning perspectives | 1.05 |
| Entity Disambiguation | Disambiguate surface mentions to canonical entities | linked, ambiguous, unlinked |
1.07 |
| Single-Hop Factual Verification | Verify 1-hop factual relation consistency | 4-way candidate verification | 1.03 |
| Multi-Hop Chain Verification | Verify multi-hop (2โ3 hop) relational chain consistency |
valid_chain, invalid_hop, order_inverted, disconnected |
1.06 |
| Causal Science & Commonsense | Verify causal scientific and functional commonsense relations | 4-way candidate verification | 1.04 |
Benchmarks & Position-Invariance Guarantees
| Benchmark / Gate | Metric | open-s1-grt-30m |
Legacy nano (8.7M) |
Chance |
|---|---|---|---|---|
| Paired-Shuffle Position Guard | Permutation Consistency | 1.000 |
0.812 |
--- |
| Paired-Shuffle Position Bias | Order Sensitivity | 0.000 |
0.188 |
0.000 |
| 11-Domain System-1 Macro Accuracy | Held-Out Calibrated Eval | 93.41% |
--- | 27.6% |
| Held-Out Knowledge Transfer (100 tasks) | 4-Way Accuracy | 92.0% |
18.0% |
25.0% |
| Intel Arc XPU Accelerated Training | Wall-Clock (vs CPU) | 101.19s (4.29x) |
--- | 433.86s (CPU) |
Complete MatterWaveAI Research Suite on Hugging Face
- Base Causal LM:
MatterWaveAI/grt-30m - Chat Fine-Tune:
MatterWaveAI/grt-30m-chat - 4-Expert Mixture-of-Rotations (
MoR):MatterWaveAI/grt-30m-mor - Circular-Pooled Sentence Embedding:
MatterWaveAI/grt-30m-embedding - Cross-Encoder Reranker:
MatterWaveAI/grt-30m-reranker - Vision-Language (
GRTVL):MatterWaveAI/grt-30m-vl - Canonical Tokenizer & Polar Embedding Bank:
MatterWaveAI/grt-30m-tokenizer - Rotational Text-to-Speech (
GRTTTS):MatterWaveAI/grt-30m-tts - Multimodal Vision-Audio-Language-Speech (
GRTOmni):MatterWaveAI/grt-30m-omni - System-1 Agent Reflex & Decision Scorer (
open-s1):MatterWaveAI/open-s1-grt-30m - Rotational JEPA & Causal World-Model Core:
MatterWaveAI/helmholtz-1 - 5-Modality Platonic Omni-JEPA World Model:
MatterWaveAI/helmholtz-1-omni - Rotational Selective State-Space (
Mamba) World Model:MatterWaveAI/helmholtz-mamba-1 - Unitary Gated Rotational
RNN(minGRU/GRU) World Model:MatterWaveAI/helmholtz-rnn-1 - System-1 Latent Trajectory Judge & MPC Router:
MatterWaveAI/s1-grt-jepa - Streaming
O(1)Rotational SSM World-Model Judge:MatterWaveAI/s1-grt-mamba - Stateful
O(1)Rotational RNN World-Model Judge:MatterWaveAI/s1-grt-rnn
- Whitepaper: The Geometric Rotation Transformer (GRT): A Purely Rotational Foundation Architecture (
GRT_Whitepaper.pdf)
License
Apache 2.0
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Model tree for MatterWaveAI/open-s1-grt-30m
Base model
MatterWaveAI/grt-30m