fix: Update Nemotron Nano v3 Configs (#1122)

Signed-off-by: Robert Clark <roclark@nvidia.com>

Author: roclark

examples/llm_finetune/nemotron/nemotron_nano_v3_squad.yaml

@@ -13,8 +13,10 @@
 # limitations under the License.
 
 
-# To run this recipe, please use the following command:
-# torchrun --nproc-per-node=8 recipes/llm_finetune/finetune.py --config recipes/llm_finetune/nemotron/llama3_3_nemotron_super_49B_squad_peft.yaml
+# To run this recipe, please use the following command. Replace --nproc-per-node=8 with the number of GPUs on your node:
+# torchrun --nproc-per-node=8 examples/llm_finetune/finetune.py --config examples/llm_finetune/nemotron/nemotron_nano_v3_squad.yaml
+# For multi-node, use the following:
+# torchrun --nproc-per-node=8 --nnodes=2 examples/llm_finetune/finetune.py --config examples/llm_finetune/nemotron/nemotron_nano_v3_squad.yaml
 
 
 step_scheduler:
@@ -36,6 +38,7 @@ rng:
 model:
   _target_: nemo_automodel.NeMoAutoModelForCausalLM.from_pretrained
   pretrained_model_name_or_path: nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
+  trust_remote_code: true
 
 # torch.compile configuration
 compile:

examples/llm_finetune/nemotron/nemotron_nano_v3_squad_peft.yaml

@@ -13,8 +13,10 @@
 # limitations under the License.
 
 
-# To run this recipe, please use the following command:
-# torchrun --nproc-per-node=8 recipes/llm_finetune/finetune.py --config recipes/llm_finetune/nemotron/llama3_3_nemotron_super_49B_squad_peft.yaml
+# To run this recipe, please use the following command. Replace --nproc-per-node=8 with the number of GPUs on your node:
+# torchrun --nproc-per-node=8 examples/llm_finetune/finetune.py --config examples/llm_finetune/nemotron/nemotron_nano_v3_squad_peft.yaml
+# For multi-node, use the following:
+# torchrun --nproc-per-node=8 --nnodes=2 examples/llm_finetune/finetune.py --config examples/llm_finetune/nemotron/nemotron_nano_v3_squad_peft.yaml
 
 
 step_scheduler:
@@ -36,6 +38,7 @@ rng:
 model:
   _target_: nemo_automodel.NeMoAutoModelForCausalLM.from_pretrained
   pretrained_model_name_or_path: nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
+  trust_remote_code: true
 
 # torch.compile configuration
 compile: