fix: improve lora kernels failure message and handle trust_remote_code (#3378) [skip ci]

* fix: improve lora kernels failure message and handle trust_remote_code

* chore: re-order model guides

tests/utils/lora/test_config_validation_lora.py

@@ -90,3 +90,62 @@ class TestLoRAConfigValidation:
                 }
             )
             validate_config(invalid_config)
+
+    @pytest.mark.parametrize(
+        "kernel_field", ["lora_mlp_kernel", "lora_qkv_kernel", "lora_o_kernel"]
+    )
+    def test_lora_kernels_trust_remote_code_incompatible(self, kernel_field):
+        """Test that lora kernels are incompatible with trust_remote_code"""
+        with pytest.raises(ValueError, match="not compatible with trust_remote_code"):
+            invalid_config = DictDefault(
+                {
+                    "adapter": "lora",
+                    kernel_field: True,
+                    "trust_remote_code": True,
+                    "datasets": [{"path": "dummy_dataset", "type": "alpaca"}],
+                    "micro_batch_size": 1,
+                    "gradient_accumulation_steps": 1,
+                    "learning_rate": 1e-5,
+                    "base_model": "dummy_model",
+                }
+            )
+            validate_config(invalid_config)
+
+    def test_lora_kernels_trust_remote_code_false(self):
+        """Test that lora kernels work when trust_remote_code is false"""
+        # Test with trust_remote_code=False, lora kernels should be allowed
+        valid_config = DictDefault(
+            {
+                "adapter": "lora",
+                "lora_mlp_kernel": True,
+                "lora_qkv_kernel": True,
+                "lora_o_kernel": True,
+                "trust_remote_code": False,
+                "datasets": [{"path": "dummy_dataset", "type": "alpaca"}],
+                "micro_batch_size": 1,
+                "gradient_accumulation_steps": 1,
+                "learning_rate": 1e-5,
+                "base_model": "dummy_model",
+            }
+        )
+        result = validate_config(valid_config)
+        assert result["lora_mlp_kernel"] is True
+        assert result["lora_qkv_kernel"] is True
+        assert result["lora_o_kernel"] is True
+
+        # Test with trust_remote_code=None (unset), kernels should be allowed
+        valid_config = DictDefault(
+            {
+                "adapter": "lora",
+                "lora_qkv_kernel": True,
+                "trust_remote_code": None,
+                "datasets": [{"path": "dummy_dataset", "type": "alpaca"}],
+                "micro_batch_size": 1,
+                "gradient_accumulation_steps": 1,
+                "learning_rate": 1e-5,
+                "base_model": "dummy_model",
+            }
+        )
+        result = validate_config(valid_config)
+        assert result["lora_qkv_kernel"] is True
+        assert result["trust_remote_code"] is None