Add peft as extra dependency, mark tests

Fast tests currently fail because of the missing dependency.

tests/test_cli.py

@@ -5,6 +5,8 @@ from unittest.mock import MagicMock, patch
 import pytest
 from safetensors.torch import load_file
 
+from .utils import require_package
+
 
 def run_command(cmd, module, args):
     module = importlib.import_module(f"lerobot.scripts.{module}")
@@ -29,6 +31,7 @@ def resolve_model_id_for_peft_training(policy_type):
 
 
 @pytest.mark.parametrize("policy_type", ["smolvla"])
+@require_package("peft")
 def test_peft_training_push_to_hub_works(policy_type, tmp_path):
     """Ensure that push to hub stores PEFT only the adapter, not the full model weights."""
     output_dir = tmp_path / f"output_{policy_type}"
@@ -67,6 +70,7 @@ def test_peft_training_push_to_hub_works(policy_type, tmp_path):
 
 
 @pytest.mark.parametrize("policy_type", ["smolvla"])
+@require_package("peft")
 def test_peft_training_works(policy_type, tmp_path):
     """Check whether the standard case of fine-tuning a (partially) pre-trained policy with PEFT works."""
     output_dir = tmp_path / f"output_{policy_type}"
@@ -115,6 +119,7 @@ def test_peft_training_works(policy_type, tmp_path):
 
 
 @pytest.mark.parametrize("policy_type", ["smolvla"])
+@require_package("peft")
 def test_peft_training_params_are_fewer(policy_type, tmp_path):
     """Check whether the standard case of fine-tuning a (partially) pre-trained policy with PEFT works."""
     output_dir = tmp_path / f"output_{policy_type}"
@@ -165,6 +170,7 @@ def dummy_make_robot_from_config(*args, **kwargs):
 
 
 @pytest.mark.parametrize("policy_type", ["smolvla"])
+@require_package("peft")
 def test_peft_record_loads_policy(policy_type, tmp_path):
     """Train a policy with PEFT and attempt to load it with `lerobot-record`."""
     from peft import PeftModel