The evaluation platform consists of Gaudi Accelerators and Xeon CPUs running benchmarks from the
Eleuther AI Language Model Evaluation HarnessThe model may inherit biases present in the training data. It is crucial to use the model in a way that promotes fairness and mitigates potential biases.
This fine-tuning effort was made possible by the support of Intel, that provided the computing resources, and
Eduardo Alvarez.
Additional shout-out to the creators of the MaziyarPanahi/Llama-3-8B-Instruct-v0.8 model and the contributors to the timdettmers/openassistant-guanaco dataset.
For questions or feedback about this model, please contact
Yuri Achermann.
