diff --git a/main.py b/main.py
index c9d09eb..377fbea 100644
--- a/main.py
+++ b/main.py
@@ -36,26 +36,34 @@ HTTP_PORT = 8080
 #  模型列表
 # ══════════════════════════════════════════════════════════
 ALL_MODEL_IDS = [
-    "AI-ModelScope/gemma-2b",
-    "AI-ModelScope/falcon-mamba-7b",
-    "katanemo/deepseek-2",
-    "OpenBMB/MiniCPM4-0.5B",
-    "NousResearch/Meta-Llama-3-8B-Instruct",
-    "MediaTek-Research/Breeze-7B-Instruct-v1_0",
-    "QLUNLP/BianCang-Qwen2.5-7B-Instruct",
-    "OpenBMB/MiniCPM4-Survey",
-    "OpenBMB/MiniCPM4-8B",
-    "PaddlePaddle/ERNIE-4.5-0.3B-PT",
-    "LLM-Research/Llama-Guard-3-8B",
-    "OpenBMB/MiniCPM-2B-dpo-fp16",
-    "OpenBMB/MiniCPM4.1-8B",
-    "Cylingo/Xinyuan-LLM-14B-0428",
-    "Fengshenbang/Ziya-LLaMA-13B-v1",
-    "baichuan-inc/Baichuan2-13B-Chat",
-    "LLM-Research/gemma-2-9b-it",
-    "Qwen/CodeQwen1.5-7B-Chat",
-    "OpenBMB/cpm-bee-10b",
-    "OpenBMB/MiniCPM3-4B",
+    "NovaSky-AI/Sky-T1-7B",
+    "prithivMLmods/TESS-QwenRe-Fact-0.5B",
+    "Magpie-Align/Llama-3.1-8B-Magpie-Align-v0.1",
+    "Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.1",
+    "Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.2",
+    "LLM-Research/layerskip-llama2-7B",
+    "PowerInfer/SmallThinker-3B-Preview",
+    "HuggingFaceTB/SmolLM2-360M",
+    "ModelCloud.AI/Llama3.2-1B-Instruct",
+    "NousResearch/DeepHermes-3-Llama-3-8B-Preview",
+    "PAI/DistilQwen2.5-DS3-0324-14B",
+    "OpenBMB/MiniCPM-1B-sft-bf16",
+    "OpenBMB/MiniCPM4-8B-marlin-vLLM",
+    "OpenBMB/MiniCPM-2B-sft-fp32",
+    "unsloth/gemma-3-1b-it",
+    "LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct",
+    "Magpie-Align/Llama-3-8B-WildChat",
+    "allenai/tulu-2-7b",
+    "argilla/distilabeled-OpenHermes-2.5-Mistral-7B",
+    "Fengshenbang/Ziya2-13B-Chat",
+    "AI-ModelScope/starcoder2-15b",
+    "AI-ModelScope/phi-2",
+    "KoboldAI/OPT-13B-Erebus",
+    "NousResearch/OLMo-Bitnet-1B",
+    "AI-ModelScope/merlinite-7b",
+    "IndexTeam/Index-1.9B-Chat",
+    "AI-ModelScope/gpt2",
+    "togethercomputer/GPT-JT-6B-v1",
 ]
 
 # ══════════════════════════════════════════════════════════