feat: open architecture filter, expand search keywords, let platform decide compatibility

main.py

@@ -47,7 +47,7 @@ SUPPORTED_SPECIAL_ARCHS = ['Eagle3Speculator', 'LlamaForCausalLMEagle3']
 MODELHUB_API = "https://modelhub.org.cn/api"
 
 # 搜索关键词
-SEARCH_KEYWORDS = ['qwen', 'Qwen2', 'Qwen3', 'Qwen3.5', 'Qwen1.5', 'Qwen-']
+SEARCH_KEYWORDS = ['qwen', 'Qwen2', 'Qwen3', 'Qwen3.5', 'Llama-3', 'Llama-3.1', 'Mistral', 'DeepSeek']
 
 # ============================================================
 # 全局状态
@@ -366,25 +366,14 @@ 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（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']
+    # 3. 架构筛选（参考检查，不做严格过滤，让平台决定兼容性）
+    log("\n--- 阶段3: 架构检查 ---")
     for m in hf_models:
         ok, reason = check_architecture(m['model_id'])
         if not ok:
-            arch_rejected += 1
-            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")
+            log(f"  ! {m['model_id']}: {reason} (仍保留)")
+        time.sleep(0.1)
+    log(f"架构检查: {len(hf_models)} 个模型进入下一阶段")
 
     # 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}] ---")
@@ -398,7 +387,7 @@ def run_pipeline(submit_limit: int = 2):
 
     # 筛选
     to_submit = []
-    for m in arch_passed:
+    for m in hf_models:
         model_id = m['model_id']
 
         # 检查全平台验证状态