fix readme

README.md

@@ -21,9 +21,7 @@ Orb models are expected to work on MacOS and Linux. Windows support is not guara
 
 ### Pretrained models
 
-We provide several pretrained models that can be used to calculate energies, forces & stresses of atomic systems. All models are provided in the `orb_models.forcefield.pretrained` module. 
-
-#### Note: Orb v2 models are substantially better than v1 models, particularly when used in simulations. Please use the latest models if possible.
+We provide several pretrained models that can be used to calculate energies, forces & stresses of atomic systems. All models are provided in the `orb_models.forcefield.pretrained` module.
 
 - `orb-v1` - trained on [MPTraj](https://figshare.com/articles/dataset/Materials_Project_Trjectory_MPtrj_Dataset/23713842?file=41619375) + [Alexandria](https://alexandria.icams.rub.de/).
 - `orb-mptraj-only-v1` - trained on the MPTraj dataset only to reproduce our second Matbench Discovery result. We do not recommend using this model for general use.
@@ -45,7 +43,7 @@ from orb_models.forcefield import atomic_system, pretrained
 from orb_models.forcefield.base import batch_graphs
 
 device = "cpu"  # or device="cuda"
-orbff = pretrained.orb_v2(device=device)
+orbff = pretrained.orb_v1(device=device)
 atoms = bulk('Cu', 'fcc', a=3.58, cubic=True)
 graph = atomic_system.ase_atoms_to_atom_graphs(atoms, device=device)
 
@@ -73,7 +71,7 @@ from orb_models.forcefield import pretrained
 from orb_models.forcefield.calculator import ORBCalculator
 
 device="cpu" # or device="cuda"
-orbff = pretrained.orb_v2(device=device) # or choose another model using ORB_PRETRAINED_MODELS[model_name]()
+orbff = pretrained.orb_v1(device=device) # or choose another model using ORB_PRETRAINED_MODELS[model_name]()
 calc = ORBCalculator(orbff, device=device)
 atoms = bulk('Cu', 'fcc', a=3.58, cubic=True)
 
@@ -109,7 +107,7 @@ You can use the new model and load the checkpoint by:
 ```python
 from orb_models.forcefield import pretrained
 
-model = pretrained.orb_v2(weights_path=<path_to_ckpt>)
+model = pretrained.orb_v1(weights_path=<path_to_ckpt>)
 ```
 
 ### Citing