This is a fine-tuned version of Evo 1, a biological foundation model capable of long-context modeling and design, specifically adapted for Microviridae phage sequences.
Evo uses the
StripedHyena architecture to enable modeling of sequences at a single-nucleotide, byte-level resolution with near-linear scaling of compute and memory relative to context length.
This model uses the StripedHyena architecture. For loading and generation, please refer to the
Evo repository.
1# Example usage with Evo framework
2from evo import Evo
3
4# Load base model and apply fine-tuned weights
5model = Evo('evo-1-131k-base')
6# Load the fine-tuned checkpoint
7checkpoint = torch.load('pytorch_model.bin')
8model.load_state_dict(checkpoint)
