diff --git a/nerfstudio/data/datamanagers/base_datamanager.py b/nerfstudio/data/datamanagers/base_datamanager.py
index 9b901f6be..34b540c7c 100644
--- a/nerfstudio/data/datamanagers/base_datamanager.py
+++ b/nerfstudio/data/datamanagers/base_datamanager.py
@@ -23,10 +23,25 @@ from collections import defaultdict
 from dataclasses import dataclass, field
 from functools import cached_property
 from pathlib import Path
-from typing import (Any, Callable, Dict, ForwardRef, Generic, List, Literal,
-                    Optional, Tuple, Type, Union, cast, get_args, get_origin)
+from typing import (
+    Any,
+    Callable,
+    Dict,
+    ForwardRef,
+    Generic,
+    List,
+    Literal,
+    Optional,
+    Tuple,
+    Type,
+    Union,
+    cast,
+    get_args,
+    get_origin,
+)
 
 import torch
+import tyro
 from torch import nn
 from torch.nn import Parameter
 from torch.utils.data.distributed import DistributedSampler
@@ -38,17 +53,20 @@ from nerfstudio.cameras.rays import RayBundle
 from nerfstudio.configs.base_config import InstantiateConfig
 from nerfstudio.configs.dataparser_configs import AnnotatedDataParserUnion
 from nerfstudio.data.dataparsers.base_dataparser import DataparserOutputs
-from nerfstudio.data.dataparsers.blender_dataparser import \
-    BlenderDataParserConfig
+from nerfstudio.data.dataparsers.blender_dataparser import BlenderDataParserConfig
 from nerfstudio.data.datasets.base_dataset import InputDataset
-from nerfstudio.data.pixel_samplers import (PatchPixelSamplerConfig,
-                                            PixelSampler, PixelSamplerConfig)
-from nerfstudio.data.utils.dataloaders import (CacheDataloader,
-                                               FixedIndicesEvalDataloader,
-                                               RandIndicesEvalDataloader)
+from nerfstudio.data.pixel_samplers import (
+    PatchPixelSamplerConfig,
+    PixelSampler,
+    PixelSamplerConfig,
+)
+from nerfstudio.data.utils.dataloaders import (
+    CacheDataloader,
+    FixedIndicesEvalDataloader,
+    RandIndicesEvalDataloader,
+)
 from nerfstudio.data.utils.nerfstudio_collate import nerfstudio_collate
-from nerfstudio.engine.callbacks import (TrainingCallback,
-                                         TrainingCallbackAttributes)
+from nerfstudio.engine.callbacks import TrainingCallback, TrainingCallbackAttributes
 from nerfstudio.model_components.ray_generators import RayGenerator
 from nerfstudio.utils.misc import IterableWrapper, get_orig_class
 from nerfstudio.utils.rich_utils import CONSOLE
@@ -95,7 +113,7 @@ class DataManagerConfig(InstantiateConfig):
     """Target class to instantiate."""
     data: Optional[Path] = None
     """Source of data, may not be used by all models."""
-    camera_optimizer: Optional[CameraOptimizerConfig] = None
+    camera_optimizer: tyro.conf.AvoidSubcommands[Optional[CameraOptimizerConfig]] = None
     """Specifies the camera pose optimizer used during training. Helpful if poses are noisy."""
     masks_on_gpu: bool = False
     """Process masks on GPU for speed at the expense of memory, if True."""
diff --git a/nerfstudio/models/gaussian_splatting.py b/nerfstudio/models/gaussian_splatting.py
index 70efd8779..078835941 100644
--- a/nerfstudio/models/gaussian_splatting.py
+++ b/nerfstudio/models/gaussian_splatting.py
@@ -60,17 +60,17 @@ from nerfstudio.utils import poses as pose_utils
 class GaussianSplattingModelConfig(ModelConfig):
     """Gaussian Splatting Model Config"""
     _target: Type = field(default_factory=lambda: GaussianSplattingModel)
-    initial_ptc_size = 100000
-    max_ptc_size = 100000
-    render_accumulation = False
-    use_aabb = True
-    initial_gaussian_scales = -3
-    prune_density_after = 500
-    prune_density_every = 100
-    prune_density_until = 15000
-    one_up_sh_every = 1000
-    lambda_ssim = 0.2
-    use_diff_rast = False # TODO (jake-austin): remove
+    initial_ptc_size: int = 100000
+    max_ptc_size: int = 100000
+    render_accumulation: bool = False
+    use_aabb: bool = True
+    initial_gaussian_scales: int = -3
+    prune_density_after: int = 500
+    prune_density_every: int = 100
+    prune_density_until: int = 15000
+    one_up_sh_every: int = 1000
+    lambda_ssim: float = 0.2
+    use_diff_rast: bool = False # TODO (jake-austin): remove
 
 class GaussianSplattingModel(Model):
     """Gaussian Splatting model