diff --git a/examples/model_configs/transformers_model.yaml b/examples/model_configs/transformers_model.yaml
index 44e095dd3..377e348b3 100644
--- a/examples/model_configs/transformers_model.yaml
+++ b/examples/model_configs/transformers_model.yaml
@@ -3,10 +3,10 @@ model:
     model_args: "pretrained=HuggingFaceTB/SmolLM-1.7B,revision=main" # pretrained=model_name,trust_remote_code=boolean,revision=revision_to_use,model_parallel=True ...
     dtype: "bfloat16"
     compile: true
+    multichoice_continuations_start_space: null # If true/false, will force multiple choice continuations to start/not start with a space. If none, will do nothing
   merged_weights: # Ignore this section if you are not using PEFT models
     delta_weights: false # set to True of your model should be merged with a base model, also need to provide the base model name
     adapter_weights: false # set to True of your model has been trained with peft, also need to provide the base model name
     base_model: null # path to the base_model
   generation:
-    multichoice_continuations_start_space: null # If true/false, will force multiple choice continuations to start/not start with a space. If none, will do nothing
     temperature: 0.5
diff --git a/src/lighteval/main_accelerate.py b/src/lighteval/main_accelerate.py
index d8d69f30f..3764cacdb 100644
--- a/src/lighteval/main_accelerate.py
+++ b/src/lighteval/main_accelerate.py
@@ -168,7 +168,7 @@ def accelerate(  # noqa C901
         args_dict["accelerator"] = accelerator
         args_dict["quantization_config"] = quantization_config
         args_dict["batch_size"] = override_batch_size
-        args_dict["multichoice_continuations_start_space"] = config["generation"][
+        args_dict["multichoice_continuations_start_space"] = config["base_params"][
             "multichoice_continuations_start_space"
         ]
         args_dict["use_chat_template"] = use_chat_template