Update README

README.md

@@ -9,10 +9,31 @@ datasets:
 - allenai/dolma
 ---
 
-## Model Details
-### Training
-Models trained using [litgpt](https://github.com/Lightning-AI/litgpt) and [AxoNN](https://github.com/axonn-ai/litgpt) on AMD MI250 GPUs.
+# Gemstone-768x45_cooldown
+Gemstone-768x45_cooldown is part of the [Gemstone Suite of Models](https://huggingface.co/collections/tomg-group-umd/gemstone-models-679408ee3f19f1d4d00e8b10). A set of models trained with varying widths and depths. This model has had its learning rate linearly decreased to 0 over 10% of the current training tokens, over token counts from 10 to 100 billion.
+Revisions are named "step\_{x}\_cooldown\_{y}" where x is the step count when we began the cooldown, and y is the current step count. The main branch is the last cooldown for this model which is a cooldown from 100 billion tokens to 110 billion tokens.
 
-### Data
-Train and validation data is taken from non-overlapping subsets of [dolma](https://huggingface.co/datasets/allenai/dolma).
+## Training
+We train using [litgpt](https://github.com/Lightning-AI/litgpt) and [AxoNN](https://github.com/axonn-ai/litgpt) using AMD MI250X GPUs on [Frontier](https://www.olcf.ornl.gov/olcf-resources/compute-systems/frontier/) at Oak Ridge National Laboratory with a global batch size of 2048.
 
+## Data
+Train and validation data is taken from non-overlapping subsets of [dolma](https://huggingface.co/datasets/allenai/dolma). As such it is _not_ an instruction model.
+
+## Using Gemstone-768x45_cooldown
+The Gemstones are based on the [gemma-2b](https://huggingface.co/google/gemma-2b) architecture and use [modeling_gemma.py](https://github.com/huggingface/transformers/blob/main/src/transformers/models/gemma/modeling_gemma.py) to run using the transformers library.
+
+## Licence
+This model is released under the [apache-2.0](https://choosealicense.com/licenses/apache-2.0/) licence.
+
+## Contact
+Please, feel free to contact us with any questions, or open a discussion thread.
+
+# Citation
+```
+@article{mcleish2024gemstones
+    title={Gemstones: A Model Suite for Multi-Faceted Scaling Laws}, 
+    author={Sean McLeish and John Kirchenbauer and David Yu Miller and Siddharth Singh and Abhinav Bhatele and Micah Goldblum and Ashwinee Panda and Tom Goldstein},
+    journal={arXiv preprint arXiv:2502.},
+    year={2025}
+}
+```