--- a/app/download_models.py
+++ b/app/download_models.py
@@ -15,18 +15,38 @@
 
 
 def download_model(model_config, progress_callback=None):
-    """下载单个模型（使用 modelscope.snapshot_download，无需 funasr/torch）"""
+    """下载单个模型（直接从ModelScope CDN下载，无需modelscope包）"""
+    import os
+    import urllib.request
+    from pathlib import Path
+
     model_name = model_config["name"]
     model_type = model_config["type"]
 
-    try:
-        from modelscope.hub.snapshot_download import snapshot_download
+    MODEL_FILES = {
+        "asr": ["model_quant.onnx", "config.yaml", "am.mvn", "tokens.json", "configuration.json"],
+        "vad": ["model_quant.onnx", "config.yaml", "am.mvn", "configuration.json"],
+        "punc": ["model_quant.onnx", "config.yaml", "tokens.json", "configuration.json"],
+    }
 
+    try:
         if progress_callback:
             progress_callback(model_type, "downloading", 0)
 
-        # 下载到本地缓存目录
-        snapshot_download(model_name, revision=MODEL_REVISION)
+        short_name = model_name.split('/')[-1] if '/' in model_name else model_name
+        cache_dir = Path.home() / ".cache" / "modelscope" / "hub" / "models" / "iic" / short_name
+        cache_dir.mkdir(parents=True, exist_ok=True)
+
+        files = MODEL_FILES.get(model_type, ["model_quant.onnx", "configuration.json"])
+        for i, filename in enumerate(files):
+            target = cache_dir / filename
+            if target.exists():
+                continue
+            url = f"https://modelscope.cn/models/{model_name}/resolve/{MODEL_REVISION}/{filename}"
+            logger.info(f"下载: {url}")
+            urllib.request.urlretrieve(url, str(target))
+            if progress_callback:
+                progress_callback(model_type, "downloading", int((i + 1) / len(files) * 100))
 
         if progress_callback:
             progress_callback(model_type, "completed", 100)
@@ -42,8 +62,7 @@
     """主函数：并行下载所有模型"""
     # 配置日志系统（使用统一配置）
     import os
-    project_root = os.path.dirname(os.path.abspath(__file__))
-    log_dir = os.path.join(project_root, "logs")
+    log_dir = os.path.join(os.path.expanduser("~"), ".local", "share", "vocotype", "logs")
     setup_logging("INFO", log_dir)
     
     # 从统一配置获取模型列表
@@ -148,6 +167,17 @@
     """
     from pathlib import Path
 
+    # Check system-wide model directory first (Gentoo package installation)
+    system_base = Path("/usr/share/vocotype/models")
+    short_name = model_name.split('/')[-1] if '/' in model_name else model_name
+    system_dir = system_base / short_name
+    if system_dir.exists():
+        quant_file = system_dir / "model_quant.onnx"
+        base_file = system_dir / "model.onnx"
+        if quant_file.exists() or base_file.exists():
+            logger.info(f"使用系统模型: {system_dir}")
+            return str(system_dir)
+
     # 构建本地缓存路径（与Rust端保持一致）
     home = Path.home()
     cache_base = home / ".cache" / "modelscope" / "hub" / "models" / "iic"
@@ -168,25 +198,25 @@
 
     # 本地不存在，需要下载
     logger.info(f"本地缓存不存在，开始下载模型: {model_name}")
-    from modelscope.hub.snapshot_download import snapshot_download
+    import urllib.request
 
-    # 使用 ignore_file_pattern 和 local_files_only 参数控制行为
-    try:
-        # 先尝试纯离线模式（不联网）
-        model_dir = snapshot_download(
-            model_name,
-            revision=revision,
-            local_files_only=True  # 仅使用本地文件，不联网
-        )
-        logger.info(f"使用已下载的模型（离线模式）: {model_dir}")
-        return model_dir
-    except Exception as offline_error:
-        logger.warning(f"离线模式失败: {offline_error}，尝试在线下载")
-
-        # 离线失败，进行在线下载
-        model_dir = snapshot_download(
-            model_name,
-            revision=revision,
-        )
-        logger.info(f"模型下载完成: {model_dir}")
-        return model_dir
+    MODEL_FILES = {
+        "speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx":
+            ["model_quant.onnx", "config.yaml", "am.mvn", "tokens.json", "configuration.json"],
+        "speech_fsmn_vad_zh-cn-16k-common-onnx":
+            ["model_quant.onnx", "config.yaml", "am.mvn", "configuration.json"],
+        "punc_ct-transformer_zh-cn-common-vocab272727-onnx":
+            ["model_quant.onnx", "config.yaml", "tokens.json", "configuration.json"],
+    }
+
+    model_dir.mkdir(parents=True, exist_ok=True)
+    files = MODEL_FILES.get(short_name, ["model_quant.onnx", "configuration.json"])
+    for filename in files:
+        target = model_dir / filename
+        if not target.exists():
+            url = f"https://modelscope.cn/models/{model_name}/resolve/{revision}/{filename}"
+            logger.info(f"下载: {url}")
+            urllib.request.urlretrieve(url, str(target))
+
+    logger.info(f"模型下载完成: {model_dir}")
+    return str(model_dir)