This repository contains JAX example code for loading and running the Helios-314B-Alpha open-weights model.
The Helios-314B-Alpha model is a trained version of the Grok-V1 open source model released by X.AI Corp.
We have fine-tuned the model to perform on crypto-related queries.
It achieves the following results on the evaluation set:
Loss: 0.0052
F1: 0.9969
1pip install -r requirements.txt
2python run.py
to test the code.
The script loads the checkpoint and samples from the model on a test input.
Due to the large size of the model (314B parameters), a machine with enough GPU memory is required to test the model with the example code.
The implementation of the MoE layer in this repository is not efficient. The implementation was chosen to avoid the need for custom kernels to validate the correctness of the model.
The code and weights for the Helios-314B-Alpha model are licensed under the apache-2.0 open source license
