diff --git a/tests/compile/test_basic_correctness.py b/tests/compile/test_basic_correctness.py
index 77c56d91d0a8b..4ce5b76bb0036 100644
--- a/tests/compile/test_basic_correctness.py
+++ b/tests/compile/test_basic_correctness.py
@@ -14,9 +14,8 @@
     "model, model_args, pp_size, tp_size, attn_backend, method, fullgraph",
     [
         ("meta-llama/Llama-3.2-1B", [], 2, 2, "FLASH_ATTN", "generate", True),
-        ("nm-testing/Meta-Llama-3-8B-Instruct-W8A8-Dyn-Per-Token-2048-Samples",
-         ["--quantization", "compressed-tensors"
-          ], 1, 1, "FLASH_ATTN", "generate", True),
+        ("THUDM/chatglm3-6b",
+         ["--trust-remote-code"], 1, 1, "FLASH_ATTN", "generate", True),
         ("google/gemma-2-2b-it", [], 1, 2, "FLASHINFER", "generate", True),
         # TODO: add multi-modality test for llava
         ("llava-hf/llava-1.5-7b-hf", [], 2, 1, "FLASHINFER", "generate", False)
diff --git a/vllm/model_executor/models/chatglm.py b/vllm/model_executor/models/chatglm.py
index 8283975b9d8e2..6536801630da2 100644
--- a/vllm/model_executor/models/chatglm.py
+++ b/vllm/model_executor/models/chatglm.py
@@ -12,6 +12,7 @@
 from torch.nn import LayerNorm
 
 from vllm.attention import Attention, AttentionMetadata
+from vllm.compilation.decorators import support_torch_compile
 from vllm.config import CacheConfig, LoRAConfig, MultiModalConfig
 from vllm.distributed import get_tensor_model_parallel_world_size
 from vllm.inputs import INPUT_REGISTRY, DecoderOnlyInputs, InputContext
@@ -472,6 +473,7 @@ def forward(
         return hidden_states
 
 
+@support_torch_compile
 class ChatGLMModel(nn.Module):
 
     def __init__(