remove the version check as `sync_module_states` is now part of PT stable.

src/llama_recipes/finetuning.py

@@ -74,11 +74,6 @@ def main(**kwargs):
         model alone would consume 2+TB cpu mem (70 * 4 * 8). This will add some comms
         overhead and currently requires latest nightly.
         """
-        v = packaging.version.parse(torch.__version__)
-        verify_latest_nightly = v.is_devrelease and v.dev >= 20230701
-        #if not verify_latest_nightly:
-            #raise Exception("latest pytorch nightly build is required to run with low_cpu_fsdp config, "
-                            #"please install latest nightly.")
         if rank == 0:
             model = LlamaForCausalLM.from_pretrained(
                 train_config.model_name,