[Bug]: 使用Sonatype Nexus Repository时下载模型错误。

[paddy235]

Your current environment

The output of `python collect_env.py`

INFO 03-18 03:49:06 __init__.py:190] Automatically detected platform cuda.
Collecting environment information...
PyTorch version: 2.5.1+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.3 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.31.4
Libc version: glibc-2.35

Python version: 3.12.9 (main, Feb  5 2025, 08:49:00) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.12.13-200.fc41.x86_64-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 12.1.105
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: Quadro RTX 8000
Nvidia driver version: 570.86.15
cuDNN version: Could not collect
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
Address sizes:                        46 bits physical, 48 bits virtual
Byte Order:                           Little Endian
CPU(s):                               32
On-line CPU(s) list:                  0-31
Vendor ID:                            GenuineIntel
Model name:                           Intel(R) Xeon(R) Gold 6234 CPU @ 3.30GHz
CPU family:                           6
Model:                                85
Thread(s) per core:                   2
Core(s) per socket:                   8
Socket(s):                            2
Stepping:                             7
CPU max MHz:                          4000.0000
CPU min MHz:                          1200.0000
BogoMIPS:                             6600.00
Flags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req vnmi pku ospke avx512_vnni md_clear flush_l1d arch_capabilities
Virtualization:                       VT-x
L1d cache:                            512 KiB (16 instances)
L1i cache:                            512 KiB (16 instances)
L2 cache:                             16 MiB (16 instances)
L3 cache:                             49.5 MiB (2 instances)
NUMA node(s):                         2
NUMA node0 CPU(s):                    0-7,16-23
NUMA node1 CPU(s):                    8-15,24-31
Vulnerability Gather data sampling:   Mitigation; Microcode
Vulnerability Itlb multihit:          KVM: Mitigation: Split huge pages
Vulnerability L1tf:                   Not affected
Vulnerability Mds:                    Not affected
Vulnerability Meltdown:               Not affected
Vulnerability Mmio stale data:        Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed:               Mitigation; Enhanced IBRS
Vulnerability Spec rstack overflow:   Not affected
Vulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:             Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Mitigation; TSX disabled

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] nvidia-cublas-cu12==12.4.5.8
[pip3] nvidia-cuda-cupti-cu12==12.4.127
[pip3] nvidia-cuda-nvrtc-cu12==12.4.127
[pip3] nvidia-cuda-runtime-cu12==12.4.127
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cufft-cu12==11.2.1.3
[pip3] nvidia-curand-cu12==10.3.5.147
[pip3] nvidia-cusolver-cu12==11.6.1.9
[pip3] nvidia-cusparse-cu12==12.3.1.170
[pip3] nvidia-ml-py==12.570.86
[pip3] nvidia-nccl-cu12==2.21.5
[pip3] nvidia-nvjitlink-cu12==12.4.127
[pip3] nvidia-nvtx-cu12==12.4.127
[pip3] pyzmq==26.2.1
[pip3] torch==2.5.1
[pip3] torchaudio==2.5.1
[pip3] torchvision==0.20.1
[pip3] transformers==4.48.2
[pip3] triton==3.1.0
[conda] Could not collect
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.7.2
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0	CPU Affinity	NUMA Affinity	GPU NUMA ID
GPU0	 X 	0-7,16-23	0		N/A

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

LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NVIDIA_CUDA_END_OF_LIFE=1
CUDA_VERSION=12.1.0
NVIDIA_REQUIRE_CUDA=cuda>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NVIDIA_PRODUCT_NAME=CUDA
VLLM_USAGE_SOURCE=production-docker-image
VLLM_CPU_KVCACHE_SPACE=91268055040
NVIDIA_VISIBLE_DEVICES=all
NCCL_VERSION=2.17.1-1
NCCL_CUMEM_ENABLE=0
TORCHINDUCTOR_COMPILE_THREADS=1
CUDA_MODULE_LOADING=LAZY

🐛 Describe the bug

docker 运行

vllm版本：vllm/vllm-openai:latest

docker中的： huggingface-cli version
huggingface_hub version: 0.28.1

运行时环境变量：HF_ENDPOINT=http://mvn.services.apps/repository/hf-mirror/

error log：

huggingface_hub.errors.HfHubHTTPError: 404 Client Error: Not Found for url: http://mvn.services.apps/repository/hf-mirror/InfiniFlow/text_concat_xgb_v1.0/resolve/main/config.json

使用外部huggingface-cli

huggingface-cli version
huggingface_hub version: 0.29.3

huggingface-cli env

• ENDPOINT: http://mvn.services.apps/repository/hf-mirror

使用 huggingface-cli download InfiniFlow/text_concat_xgb_v1.0 可以正常下载模型

实际正确可以访问的config.json的url：

http://mvn.services.apps/repository/hf-mirror/api/models/InfiniFlow/text_concat_xgb_v1.0/revision/main

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[paddy235]

vllm 0.7.3版本也一样复现该问题

[lengrongfu]

http://mvn.services.apps/repository/hf-mirror address cano't access.

[paddy235]

内部私有网络中，非互联网

paddy@fedora:~/下载$ curl http://mvn.services.apps/repository/hf-mirror/api/models/InfiniFlow/text_concat_xgb_v1.0/revision/main|jq
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   648  100   648    0     0   2051      0 --:--:-- --:--:-- --:--:--  2050
{
  "_id": "657a97ddfed70315fa3f9f9d",
  "id": "InfiniFlow/text_concat_xgb_v1.0",
  "private": false,
  "tags": [
    "license:apache-2.0",
    "region:us"
  ],
  "downloads": 0,
  "likes": 3,
  "modelId": "InfiniFlow/text_concat_xgb_v1.0",
  "author": "InfiniFlow",
  "sha": "722ed09a54f23f14fe0279ce6b74ce18e1960f54",
  "lastModified": "2023-12-14T05:57:01.000Z",
  "gated": false,
  "disabled": false,
  "model-index": null,
  "cardData": {
    "license": "apache-2.0"
  },
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "updown_concat_xgb.model"
    }
  ],
  "spaces": [
    "Yijun-Yang/ReadReview",
    "zxsipola123456/ragflow",
    "retopara/ragflow"
  ],
  "createdAt": "2023-12-14T05:51:25.000Z",
  "usedStorage": 5906150
}