| language: | |
| - en | |
| tags: | |
| - causal-lm | |
| library_name: transformers | |
| license: apache-2.0 | |
| datasets: | |
| - allenai/dolma | |
| # Gemstone-1280x36 | |
| Gemstone-1280x36 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-1280x36 | |
| 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} | |
| } | |
| ``` |