```text
ollecting environment information...
PyTorch version: 2.3.1+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Debian GNU/Linux 11 (bullseye) (x86_64)
GCC version: (Debian 10.2.1-6) 10.2.1 20210110
Clang version: Could not collect
CMake version: version 3.30.2
Libc version: glibc-2.31

Python version: 3.9.2 (default, Feb 28 2021, 17:03:44)  [GCC 10.2.1 20210110] (64-bit runtime)
Python platform: Linux-5.4.143.bsk.8-amd64-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 12.1.105
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: 
GPU 0: NVIDIA L40
GPU 1: NVIDIA L40
GPU 2: NVIDIA L40
GPU 3: NVIDIA L40
GPU 4: NVIDIA L40
GPU 5: NVIDIA L40
GPU 6: NVIDIA L40
GPU 7: NVIDIA L40

Nvidia driver version: Could not collect
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.0
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture:                    x86_64
CPU op-mode(s):                  32-bit, 64-bit
Byte Order:                      Little Endian
Address sizes:                   52 bits physical, 57 bits virtual
CPU(s):                          180
On-line CPU(s) list:             0-179
Thread(s) per core:              2
Core(s) per socket:              45
Socket(s):                       2
NUMA node(s):                    2
Vendor ID:                       GenuineIntel
CPU family:                      6
Model:                           143
Model name:                      Intel(R) Xeon(R) Platinum 8457C
Stepping:                        8
CPU MHz:                         2599.044
BogoMIPS:                        5198.08
Hypervisor vendor:               KVM
Virtualization type:             full
L1d cache:                       4.2 MiB
L1i cache:                       2.8 MiB
L2 cache:                        180 MiB
L3 cache:                        195 MiB
NUMA node0 CPU(s):               0-89
NUMA node1 CPU(s):               90-179
Vulnerability Itlb multihit:     Not affected
Vulnerability L1tf:              Not affected
Vulnerability Mds:               Not affected
Vulnerability Meltdown:          Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:        Mitigation; Enhanced IBRS, IBPB conditional, RSB filling
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Mitigation; TSX disabled
Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx512_bf16 wbnoinvd arat avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid cldemote movdiri movdir64b md_clear arch_capabilities

Versions of relevant libraries:
[pip3] byted-torch==2.1.0.post2
[pip3] flashinfer==0.0.8+cu121torch2.3
[pip3] numpy==1.26.2
[pip3] nvidia-nccl-cu12==2.20.5
[pip3] pyzmq==26.1.0
[pip3] torch==2.3.1
[pip3] torchaudio==2.1.0+cu121
[pip3] torchvision==0.18.1
[pip3] transformers==4.44.0
[pip3] triton==2.3.1
[conda] Could not collect
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.5.3.post1@38c4b7e863570a045308af814c72f4504297222e
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      NODE    NODE    NODE    SYS     SYS     SYS     SYS     SYS     2-89    0               N/A
GPU1    NODE     X      NODE    NODE    SYS     SYS     SYS     SYS     SYS     2-89    0               N/A
GPU2    NODE    NODE     X      NODE    SYS     SYS     SYS     SYS     SYS     2-89    0               N/A
GPU3    NODE    NODE    NODE     X      SYS     SYS     SYS     SYS     SYS     2-89    0               N/A
GPU4    SYS     SYS     SYS     SYS      X      NODE    NODE    NODE    SYS     92-177  1               N/A
GPU5    SYS     SYS     SYS     SYS     NODE     X      NODE    NODE    SYS     92-177  1               N/A
GPU6    SYS     SYS     SYS     SYS     NODE    NODE     X      NODE    SYS     92-177  1               N/A
GPU7    SYS     SYS     SYS     SYS     NODE    NODE    NODE     X      SYS     92-177  1               N/A
NIC0    SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS      X 

Legend:

  X    = Self
  SYS  = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
  NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
  PHB  = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
  PXB  = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
  PIX  = Connection traversing at most a single PCIe bridge
  NV#  = Connection traversing a bonded set of # NVLinks

NIC Legend:

  NIC0: mlx5_0

</details>


### 🐛 Describe the bug

Using the ds-coder-v2-awq [,](https://huggingface.co/casperhansen/deepseek-coder-v2-instruct-awq) the following error is reported.

Traceback (most recent call last):
[rank0]:   File "/opt/tiger/deepseek_http/vllm_server.py", line 134, in <module>
[rank0]:     engine = AsyncLLMEngine.from_engine_args(engine_args)
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/engine/async_llm_engine.py", line 466, in from_engine_args
[rank0]:     engine = cls(
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/engine/async_llm_engine.py", line 380, in __init__
[rank0]:     self.engine = self._init_engine(*args, **kwargs)
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/engine/async_llm_engine.py", line 547, in _init_engine
[rank0]:     return engine_class(*args, **kwargs)
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/engine/llm_engine.py", line 251, in __init__
[rank0]:     self.model_executor = executor_class(
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/executor/multiproc_gpu_executor.py", line 201, in __init__
[rank0]:     super().__init__(*args, **kwargs)
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/executor/distributed_gpu_executor.py", line 25, in __init__
[rank0]:     super().__init__(*args, **kwargs)
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/executor/executor_base.py", line 47, in __init__
[rank0]:     self._init_executor()
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/executor/multiproc_gpu_executor.py", line 124, in _init_executor
[rank0]:     self._run_workers("load_model",
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/executor/multiproc_gpu_executor.py", line 178, in _run_workers
[rank0]:     driver_worker_output = driver_worker_method(*args, **kwargs)
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/worker/worker.py", line 139, in load_model
[rank0]:     self.model_runner.load_model()
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/worker/model_runner.py", line 682, in load_model
[rank0]:     self.model = get_model(model_config=self.model_config,
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/model_loader/__init__.py", line 21, in get_model
[rank0]:     return loader.load_model(model_config=model_config,
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/model_loader/loader.py", line 280, in load_model
[rank0]:     model = _initialize_model(model_config, self.load_config,
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/model_loader/loader.py", line 111, in _initialize_model
[rank0]:     return model_class(config=model_config.hf_config,
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 439, in __init__
[rank0]:     self.model = DeepseekV2Model(config, cache_config, quant_config)
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 401, in __init__
[rank0]:     self.layers = nn.ModuleList([
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 402, in <listcomp>
[rank0]:     DeepseekV2DecoderLayer(config,
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 341, in __init__
[rank0]:     self.mlp = DeepseekV2MoE(config=config, quant_config=quant_config)
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 106, in __init__
[rank0]:     self.experts = FusedMoE(num_experts=config.n_routed_experts,
[rank0]:   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/layers/fused_moe/layer.py", line 186, in __init__
[rank0]:     assert self.quant_method is not None
[rank0]: AssertionError