### configs/config.py

```python
class Config:
    model_name = "facebook/esm2_t33_650M_UR50D"
    latent_dim = 1280  # Adjust based on ESM-2 latent dimension
    optim = {"lr": 1e-4}
    training = {
        "ema": 0.999,
        "epochs": 10,
        "batch_size": 32,
        "gpus": 8,
        "precision": 16,  # Mixed precision training
        "accumulate_grad_batches": 2,  # Gradient accumulation
        "save_dir": "./checkpoints/",
    }
    data_path = "./data/"
    T = 1000  # Number of diffusion steps
    subs_masking = False