[Bug] lmdeploy serve api_server 方式部署指定 chat-template 报错

[LiYtao]

Checklist

• 1. I have searched related issues but cannot get the expected help.
• 2. The bug has not been fixed in the latest version.
• 3. Please note that if the bug-related issue you submitted lacks corresponding environment info and a minimal reproducible demo, it will be challenging for us to reproduce and resolve the issue, reducing the likelihood of receiving feedback.

Describe the bug

lmdeploy 0.12.2版本
启动指令：
python3 -m lmdeploy serve api_server /data/model/qwen3 --tp 1 --backend pytorch --cache-max-entry-count 0.5 --chat-template qwen3-vl --log-level INFO --session-len 16384 --vision-max-batch-size 1

错误：
Traceback (most recent call last):
File "/usr/local/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/local/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.10/site-packages/lmdeploy/main.py", line 5, in
run()
File "/usr/local/lib/python3.10/site-packages/lmdeploy/cli/entrypoint.py", line 39, in run
args.run(args)
File "/usr/local/lib/python3.10/site-packages/lmdeploy/cli/serve.py", line 270, in api_server
chat_template_config = get_chat_template(args.chat_template, args.model_path)
File "/usr/local/lib/python3.10/site-packages/lmdeploy/cli/utils.py", line 85, in get_chat_template
from lmdeploy.model import DEPRECATED_CHAT_TEMPLATE_NAMES, MODELS, REMOVED_CHAT_TEMPLATE_NAMES
ImportError: cannot import name 'DEPRECATED_CHAT_TEMPLATE_NAMES' from 'lmdeploy.model' (/usr/local/lib/python3.10/site-packages/lmdeploy/model.py)

Reproduction

python3 -m lmdeploy serve api_server /data/model/qwen3 --tp 1 --backend pytorch --cache-max-entry-count 0.5 --chat-template qwen3-vl --log-level INFO --session-len 16384 --vision-max-batch-size 1

Environment

lmdeploy check_env
sys.platform: linux
Python: 3.10.0 (default, Nov  4 2024, 06:13:04) [GCC 7.5.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1,2,3,4,5,6,7: NVIDIA A100-PCIE-40GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 11.8, V11.8.89
GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
PyTorch: 2.4.0+cu118
PyTorch compiling details: PyTorch built with:
  - GCC 9.3
  - C++ Version: 201703
  - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v3.4.2 (Git Hash 1137e04ec0b5251ca2b4400a4fd3c667ce843d67)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX512
  - CUDA Runtime 11.8
  - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_90,code=sm_90
  - CuDNN 90.1
  - Magma 2.6.1
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.4.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF,

TorchVision: 0.19.0+cu118
LMDeploy: 0.12.2+
transformers: 4.57.3
fastapi: 0.115.4
pydantic: 2.13.1
triton: 3.0.0
NVIDIA Topology:
	GPU0	GPU1	GPU2	GPU3	GPU4	GPU5	GPU6	GPU7	NIC0	NIC1	CPU Affinity	NUMA Affinity
GPU0	 X 	PIX	PIX	PIX	SYS	SYS	SYS	SYS	PIX	PIX	0-23,48-71	0
GPU1	PIX	 X 	PIX	PIX	SYS	SYS	SYS	SYS	PIX	PIX	0-23,48-71	0
GPU2	PIX	PIX	 X 	PIX	SYS	SYS	SYS	SYS	PIX	PIX	0-23,48-71	0
GPU3	PIX	PIX	PIX	 X 	SYS	SYS	SYS	SYS	PIX	PIX	0-23,48-71	0
GPU4	SYS	SYS	SYS	SYS	 X 	PIX	PIX	PIX	SYS	SYS	24-47,72-95	1
GPU5	SYS	SYS	SYS	SYS	PIX	 X 	PIX	PIX	SYS	SYS	24-47,72-95	1
GPU6	SYS	SYS	SYS	SYS	PIX	PIX	 X 	PIX	SYS	SYS	24-47,72-95	1
GPU7	SYS	SYS	SYS	SYS	PIX	PIX	PIX	 X 	SYS	SYS	24-47,72-95	1
NIC0	PIX	PIX	PIX	PIX	SYS	SYS	SYS	SYS	 X 	PIX
NIC1	PIX	PIX	PIX	PIX	SYS	SYS	SYS	SYS	PIX	 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
  NIC1: mlx5_1

Error traceback

lmdeploy/cli/utils.py:85 有 from lmdeploy.model import DEPRECATED_CHAT_TEMPLATE_NAMES, MODELS, REMOVED_CHAT_TEMPLATE_NAMES

但是 DEPRECATED_CHAT_TEMPLATE_NAMES和REMOVED_CHAT_TEMPLATE_NAMES似乎从 v0.12.0开始从 lmdeploy/model.py 中删除了