Update README.md

README.md

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----
-license: apache-2.0
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+---
+language: en
+license: mit
+tags:
+- trm
+- recursive-reasoning
+- arc-agi
+- abstract-reasoning
+- pytorch
+- huggingface
+datasets:
+- ARC-AGI
+metrics:
+- pass@2
+widget:
+- text: "Sample ARC task here"
+---
+
+# TRM Model for ARC-AGI-1
+
+## Model Description
+
+This is a Tiny Recursive Model (TRM) fine-tuned for solving Abstract Reasoning Challenge (ARC-AGI) tasks. The model performs abstract reasoning to predict output grids from input grids.
+
+- **Developed by:** alphaXiv
+- **Model type:** TRM-Attention
+- **Language(s) (NLP):** N/A (grid-based reasoning)
+- **License:** MIT
+- **Finetuned from model:** Custom TRM architecture
+
+## Intended Use
+
+### Primary Use
+
+This model is designed to solve ARC-AGI tasks by predicting the correct output grid transformation based on input grid patterns.
+
+### Out-of-Scope Use
+
+Not intended for general NLP tasks, image generation, or other reasoning domains.
+
+## Limitations and Bias
+
+- Trained only on ARC-AGI training and evaluation sets
+- May not generalize to novel abstract reasoning tasks
+- Performance limited by training data diversity
+
+## Training Data
+
+The model was trained on the ARC-AGI dataset, which includes:
+- Input-output grid pairs
+- Various transformation patterns
+- Training and evaluation splits
+
+## Evaluation Results
+
+| Metric | Claimed | Achieved |
+|--------|---------|----------|
+| Pass@2 | 44.6% | 43.00% ± 0.16% |
+
+Results from independent reproduction study.
+
+## Repository
+
+https://github.com/alphaXiv/TinyRecursiveModels