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@ -186,9 +186,9 @@ def run_modelmerger(primary_model_name, secondary_model_name, interp_method, int
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if 'model' in key and key not in theta_0:
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theta_0[key] = theta_1[key]
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output_modelname = 'models/' + primary_model_name + '_' + str(interp_amount) + '-' + secondary_model_name + '_' + str(float(1.0) - interp_amount) + '-' + interp_method.replace(" ", "_") + '-merged.ckpt'
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output_modelname = 'models/' + primary_model_name + '_' + str(round(interp_amount,2)) + '-' + secondary_model_name + '_' + str(round((float(1.0) - interp_amount),2)) + '-' + interp_method.replace(" ", "_") + '-merged.ckpt'
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print(f"Saving to {output_modelname}...")
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torch.save(primary_model, output_modelname)
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print(f"Checkpoint saved.")
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return "Checkpoint saved to " + output_modelname
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return "Checkpoint saved to " + output_modelname
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