diff --git a/src/boltz/main.py b/src/boltz/main.py
index 4fdf84ab0..44ba7a85f 100644
--- a/src/boltz/main.py
+++ b/src/boltz/main.py
@@ -10,6 +10,7 @@
 from multiprocessing import Pool
 from pathlib import Path
 from typing import Literal, Optional
+from ast import literal_eval
 
 import click
 import torch
@@ -812,6 +813,23 @@ def cli() -> None:
     """Boltz."""
     return
 
+def devices_option_convert(value: str | int) -> int | list[int] | Literal["auto"]:
+    """Convert the devices option value to an int or list of ints. raise ValueError if not convertible."""
+    if value == "auto" or value == "0":
+        return "auto"
+    elif value == "-1":
+        raise ValueError("Using -1 would cause issues, please use 'auto' instead.")
+    elif isinstance(value,int) or value.isdigit():
+        return int(value)
+    else:
+        try:
+            value_list = literal_eval(value)
+            if isinstance(value_list, list) and all(isinstance(i, int) for i in value_list):
+                return value_list
+            else:
+                raise ValueError("Invalid format for devices option.")
+        except (ValueError, SyntaxError):
+            raise ValueError("Invalid format for devices option. Use an int, list of ints, or 'auto'.")
 
 @cli.command()
 @click.argument("data", type=click.Path(exists=True))
@@ -838,8 +856,12 @@ def cli() -> None:
 )
 @click.option(
     "--devices",
-    type=int,
-    help="The number of devices to use for prediction. Default is 1.",
+    type=devices_option_convert,
+    help=(
+        "The number of devices, the list of devices, or 'auto' to use for prediction."
+        "Examples: 1, [0, 1, 2], [2], auto\n"
+        "Default is 1."
+    ),
     default=1,
 )
 @click.option(
@@ -1044,7 +1066,7 @@ def predict(  # noqa: C901, PLR0915, PLR0912
     cache: str = "~/.boltz",
     checkpoint: Optional[str] = None,
     affinity_checkpoint: Optional[str] = None,
-    devices: int = 1,
+    devices: int | list[int] | Literal["auto"] = 1,
     accelerator: str = "gpu",
     recycling_steps: int = 3,
     sampling_steps: int = 200,
@@ -1213,7 +1235,7 @@ def predict(  # noqa: C901, PLR0915, PLR0912
     ):
         start_method = "fork" if platform.system() != "win32" and platform.system() != "Windows" else "spawn"
         strategy = DDPStrategy(start_method=start_method)
-        if len(filtered_manifest.records) < devices:
+        if len(filtered_manifest.records) < (devices if isinstance(devices, int) else len(devices)):
             msg = (
                 "Number of requested devices is greater "
                 "than the number of predictions, taking the minimum."