Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,37 @@
+---
+license: mit
+---
+
+# EqLM — kinetic-eqlm-anytime-121m-babylm
+
+This is an equilibrium language model from the **Kinetic AI** research project.
+
+## Architecture
+
+Config: {'vocab_size': 50257, 'd_model': 1704, 'n_heads': 12, 'd_ff': 6807, 'max_seq_len': 128, 'deq_max_iter': 12, 'deq_tol': 0.001, 'solver': 'anderson', 'jfb': False, 'dropout': 0.1, 'spectral_norm': True, 'residual_damping': 0.2, 'map_form': 'postln', 'aux_residual': False, 'lambda_aux': 0.1}
+
+## Provenance
+
+- **Config Hash:** `33b106ea36f6f2db58eb1748a6169f269559b5d008ea87822816d214e0689b3d`
+- **Git Commit:** `unknown`
+- **Run Directory:** `/home/sharaths/projects/game-llm/results/exp13_seed43`
+
+All numbers in this model card trace to documented runs; see [research/memory/findings.md](https://github.com/SharathSPhD/game-llm/blob/main/research/memory/findings.md) for validation details.
+
+## Metrics
+
+| Metric | Value |
+|--------|-------|
+| final_loss | 2.8680 |
+
+
+## Disclaimer
+
+This is research-stage code. Numbers reported here are from `results.json` in the named run directory and trace to `research/memory/findings.md`. For baseline comparisons and metric definitions, consult the paper at https://github.com/SharathSPhD/game-llm/tree/main/paper.
+
+## Links
+
+- [GitHub Repository](https://github.com/SharathSPhD/game-llm)
+- [Paper (arXiv/Site)](https://github.com/SharathSPhD/game-llm/tree/main/paper)
+- [Validated Findings](https://github.com/SharathSPhD/game-llm/blob/main/research/memory/findings.md)
+- [Kinetic AI Home](https://kinetic.kinetic-ai.workers.dev)