feat: filter out GPTQ/AWQ formats and Qwen3.5 arch (incompatible with Iluvatar)

main.py

@@ -328,30 +328,41 @@ def run_pipeline(submit_limit: int = 30):
         time.sleep(0.3)
     log(f"搜索完成: {len(seen)} 个唯一模型, {len(all_models)} 个下载量{DOWNLOAD_MIN}-{DOWNLOAD_MAX}")
 
-    # 2. 格式筛选（只保留HuggingFace格式，排除GGUF）
+    # 2. 格式筛选（排除 GGUF/GPTQ/AWQ）
     log("\n--- 阶段2: 格式筛选 ---")
     hf_models = []
-    gguf_skipped = 0
+    format_skipped = 0
+    SKIP_FORMATS = ['GGUF', 'GPTQ', 'AWQ']
     for m in all_models:
-        mid = m['model_id'].upper()
+        mid_upper = m['model_id'].upper()
-        if 'GGUF' in mid:
+        skip = False
-            gguf_skipped += 1
+        for fmt in SKIP_FORMATS:
-            log(f"  ✗ {m['model_id']}: GGUF格式，跳过")
+            if fmt in mid_upper:
-        else:
+                format_skipped += 1
+                log(f"  x {m['model_id']}: {fmt}格式，跳过")
+                skip = True
+                break
+        if not skip:
             hf_models.append(m)
-    log(f"格式筛选: {len(hf_models)} 通过 (HuggingFace), {gguf_skipped} 跳过 (GGUF)")
+    log(f"格式筛选: {len(hf_models)} 通过, {format_skipped} 跳过 (GGUF/GPTQ/AWQ)")
 
-    # 3. 架构筛选
+    # 3. 架构筛选（排除 Qwen3.5 在 Iluvatar 上不支持）
     log("\n--- 阶段3: 架构筛选 ---")
     arch_passed = []
     arch_rejected = 0
+    SKIP_ARCHS = ['qwen3_5', 'Qwen3_5', 'Qwen3.5']
     for m in hf_models:
         ok, reason = check_architecture(m['model_id'])
-        if ok:
+        if not ok:
-            arch_passed.append(m)
-        else:
             arch_rejected += 1
-            log(f"  ✗ {m['model_id']}: {reason}")
+            log(f"  x {m['model_id']}: {reason}")
+            continue
+        arch_str = str(reason).upper()
+        if any(a.upper() in arch_str for a in SKIP_ARCHS):
+            arch_rejected += 1
+            log(f"  x {m['model_id']}: Qwen3.5(Iluvatar不支持)")
+            continue
+        arch_passed.append(m)
         time.sleep(0.15)
     log(f"架构筛选: {len(arch_passed)} 通过, {arch_rejected} 拒绝")