Create validator.py

validator.py

@@ -0,0 +1,40 @@
+import json
+
+def validate_dfqs(model_info: dict):
+    
+    score = 0
+    report = {}
+
+    # RULE 1: architecture check
+    if "MoE" in model_info.get("architecture", ""):
+        score += 25
+        report["architecture"] = "PASS"
+    else:
+        report["architecture"] = "FAIL"
+
+    # RULE 2: size constraint (DFQS class boundary)
+    if model_info.get("size_gb", 0) <= 80:
+        score += 25
+        report["compression"] = "PASS"
+    else:
+        report["compression"] = "FAIL"
+
+    # RULE 3: runtime compatibility
+    if model_info.get("runtime") in ["llama.cpp", "gguf"]:
+        score += 25
+        report["runtime"] = "PASS"
+    else:
+        report["runtime"] = "FAIL"
+
+    # RULE 4: CPU feasibility flag
+    if model_info.get("cpu_feasible", False):
+        score += 25
+        report["cpu_feasibility"] = "PASS"
+    else:
+        report["cpu_feasibility"] = "FAIL"
+
+    return {
+        "dfqs_score": score,
+        "report": report,
+        "compliant": score == 100
+    }