test: exercise pinned Mistral configuration contract

ci/conditional-test-policy.json

@@ -89,7 +89,6 @@
         "obliteratus/informed_pipeline.py",
         "obliteratus/lora_ablation.py",
         "obliteratus/models/loader.py",
-        "obliteratus/strategies/utils.py",
         "obliteratus/sweep.py"
       ]
     },

ci/test-risk-map.json

@@ -380,9 +380,7 @@
         "tests/test_strategies.py",
         "tests/test_strategy_navigation_contracts.py"
       ],
-      "conditional_gates": [
-        "model-download-runtime"
-      ]
+      "conditional_gates": []
     },
     {
       "path": "obliteratus/community.py",

tests/conditional/test_model_download_runtime.py

@@ -7,8 +7,9 @@ import uuid
 import pytest
 import torch
 
-from obliteratus.models.loader import load_model
-from transformers import AutoConfig
+from obliteratus.architecture_profiles import ArchitectureClass, detect_architecture
+from obliteratus.models.loader import _select_model_class, load_model
+from transformers import AutoConfig, AutoModelForImageTextToText
 
 
 pytestmark = [pytest.mark.network, pytest.mark.download]
@@ -64,3 +65,9 @@ def test_pinned_mistral4_config_resolves_composite_contract_without_remote_code(
     assert config.text_config.model_type == "mistral4"
     assert config.text_config.n_routed_experts == 128
     assert config.text_config.num_experts_per_tok == 4
+    assert _select_model_class("causal_lm", config) is AutoModelForImageTextToText
+
+    profile = detect_architecture(MISTRAL4_MODEL, config=config)
+    assert profile.model_type == "mistral4"
+    assert profile.arch_class is ArchitectureClass.LARGE_MOE
+    assert (profile.num_experts, profile.num_active_experts) == (128, 4)