diff --git a/api/apps/llm_app.py b/api/apps/llm_app.py
index 100a893bf..cb4944963 100644
--- a/api/apps/llm_app.py
+++ b/api/apps/llm_app.py
@@ -332,7 +332,7 @@ def my_llms():
 @login_required
 def list_app():
     self_deploied = ["Youdao","FastEmbed", "BAAI", "Ollama", "Xinference", "LocalAI", "LM-Studio"]
-    weighted = ["Youdao","FastEmbed", "BAAI"] if LIGHTEN else []
+    weighted = ["Youdao","FastEmbed", "BAAI"] if not LIGHTEN else []
     model_type = request.args.get("model_type")
     try:
         objs = TenantLLMService.query(tenant_id=current_user.id)
diff --git a/api/settings.py b/api/settings.py
index 41dfbe91c..5078903a3 100644
--- a/api/settings.py
+++ b/api/settings.py
@@ -123,7 +123,7 @@ if not LIGHTEN:
 
     CHAT_MDL = default_llm[LLM_FACTORY]["chat_model"]
     EMBEDDING_MDL = default_llm["BAAI"]["embedding_model"]
-    RERANK_MDL = default_llm["BAAI"]["rerank_model"] if not LIGHTEN else ""
+    RERANK_MDL = default_llm["BAAI"]["rerank_model"]
     ASR_MDL = default_llm[LLM_FACTORY]["asr_model"]
     IMAGE2TEXT_MDL = default_llm[LLM_FACTORY]["image2text_model"]
 else:
diff --git a/rag/nlp/__init__.py b/rag/nlp/__init__.py
index 9d8e78763..0928ce442 100644
--- a/rag/nlp/__init__.py
+++ b/rag/nlp/__init__.py
@@ -501,17 +501,6 @@ def naive_merge(sections, chunk_token_num=128, delimiter="\n。；！？"):
 
     for sec, pos in sections:
         add_chunk(sec, pos)
-        continue
-        s, e = 0, 1
-        while e < len(sec):
-            if sec[e] in delimiter:
-                add_chunk(sec[s: e + 1], pos)
-                s = e + 1
-                e = s + 1
-            else:
-                e += 1
-        if s < e:
-            add_chunk(sec[s: e], pos)
 
     return cks