| --- |
| language: |
| - en |
| tags: |
| - causal-lm |
| library_name: transformers |
| license: apache-2.0 |
| datasets: |
| - allenai/dolma |
| --- |
| |
| # Gemstone-384x13 |
| Gemstone-384x13 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. |
|
|
| ## 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. |
| This model is trained for 350 billion tokens, we upload checkpoints every 2 billion tokens (477 steps). |
|
|
| ## Using Gemstone-384x13 |
| 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} |
| } |
| ``` |
