feat: strictly filter models with valid config.json only

main.py

@@ -365,14 +365,22 @@ def run_pipeline(submit_limit: int = 2):
             hf_models.append(m)
     log(f"格式筛选: {len(hf_models)} 通过, {format_skipped} 跳过 (GPTQ/AWQ)")
 
-    # 3. 架构筛选（参考检查，不做严格过滤，让平台决定兼容性）
+    # 3. 架构筛选（只保留有标准config.json的模型，排除无效格式）
     log("\n--- 阶段3: 架构检查 ---")
+    arch_passed = []
+    arch_rejected = 0
     for m in hf_models:
         ok, reason = check_architecture(m['model_id'])
         if not ok:
-            log(f"  ! {m['model_id']}: {reason} (仍保留)")
+            arch_rejected += 1
+            log(f"  x {m['model_id']}: {reason}")
+        elif reason == 'GGUF':
+            arch_rejected += 1
+            log(f"  x {m['model_id']}: GGUF(无config)")
+        else:
+            arch_passed.append(m)
         time.sleep(0.1)
-    log(f"架构检查: {len(hf_models)} 个模型进入下一阶段")
+    log(f"架构检查: {len(arch_passed)} 通过, {arch_rejected} 拒绝")
 
     # 4. 筛选并提交（只针对目标GPU）
     log(f"\n--- 阶段4: 筛选并提交 [{TARGET_GPU}] ---")
@@ -386,7 +394,7 @@ def run_pipeline(submit_limit: int = 2):
 
     # 筛选
     to_submit = []
-    for m in hf_models:
+    for m in arch_passed:
         model_id = m['model_id']
 
         # 检查全平台验证状态