Windows - 第5页 - 烙馍网

徐州园博园初步开放时间定了！10大建筑群＋49个展园即将亮相！

16796个OpenClaw Skills合集下载｜总2.7G，压缩后仅738M，覆盖全场景技能

多模态大模型 vLLM Wan2.2-I2V 启动命令解析与优化方案

一、原命令拆解说明 bash 运行参数释义：二、关键问题与适配优化（Windows WSL 运行 Wan2…

AI戏剧 Jellyfish 对接 RustFS 完整配置指南：高性能对象存储落地实操

在云原生、边缘存储、AI 非结构化数据存储场景中，传统 MinIO 存储常面临 GC 卡顿、高并发性能瓶颈、内…

Rust RustFS 从零配置指南：轻量高性能 S3 对象存储快速搭建

在轻量化私有存储、边缘存储、小型集群对象存储场景中，传统 MinIO 存在内存占用偏高、启动速度慢的问题，而 …

Rust 吊打传统对象存储？RustFS：基于Rust的高性能S3兼容分布式存储

在云原生、AI训练、大数据飞速普及的当下，对象存储已经成为企业存储基础设施的核心组件。不管是业务静态资源存储、…

CUDA 彻底解决CUDA OOM显存溢出：明明显存充足却分配失败（显存碎片终极方案）

适用场景：大模型推理、API服务部署、PyTorch训练、多Worker并发任务报错特征：GPU总显存充足、…

Python PyTorch WSL 警告：Using ‘pin_memory=False’ 性能变慢终极解决方案

在 WSL2 中运行 PyTorch 深度学习训练、推理代码时，很多人都会遇到这条经典性能警告，程序可以正常运…

Linux 开发者必备神器：一文吃透 curl，从入门到实战

在前端调试、后端接口测试、服务器运维、自动化脚本编写的日常工作中，你一定见过 curl 命令。它没有华丽的可视…

AI 彻底解决！hf download 国内镜像高速下载模型/数据集（2026最新教程）

玩AI开发、微调模型的小伙伴，大概率都被 Hugging Face 下载慢、连接超时、下载中断的问题折磨过。…

$解决 hf-cli 安装报错：gbk codec can’t encode character ‘\u2713’ 编码异常完整修复指南$

AI 解决 hf-cli 安装报错：gbk codec can’t encode character ‘\u2713’ 编码异常完整修复指南

一、报错现象执行 Hugging Face 官方一键安装命令： powershell 安装末尾校验阶段直接抛…

AI Windows 一键安装 Hugging Face hf CLI：详解 irm https://hf.co/cli/install.ps1 | iex 完整命令

一、前言做本地大模型下载、数据集管理、Hugging Face 仓库上传的开发者，离不开官方 hf CLI …

最新评论

一路向北 (APIServer pid=3720) Traceback (most recent call last): (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/bin/vllm", line 8, in (APIServer pid=3720) sys.exit(main()) (APIServer pid=3720) ~~~~^^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/entrypoints/cli/main.py", line 92, in main (APIServer pid=3720) args.dispatch_function(args) (APIServer pid=3720) ~~~~~~~~~~~~~~~~~~~~~~^^^^^^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/entrypoints/cli/serve.py", line 148, in cmd (APIServer pid=3720) uvloop.run(run_server(args)) (APIServer pid=3720) ~~~~~~~~~~^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/uvloop/__init__.py", line 96, in run (APIServer pid=3720) return __asyncio.run( (APIServer pid=3720) ~~~~~~~~~~~~~^ (APIServer pid=3720) wrapper(), (APIServer pid=3720) ^^^^^^^^^^ (APIServer pid=3720) ...... (APIServer pid=3720) **run_kwargs (APIServer pid=3720) ^^^^^^^^^^^^ (APIServer pid=3720) ) (APIServer pid=3720) ^ (APIServer pid=3720) File "/usr/lib/python3.14/asyncio/runners.py", line 204, in run (APIServer pid=3720) return runner.run(main) (APIServer pid=3720) ~~~~~~~~~~^^^^^^ (APIServer pid=3720) File "/usr/lib/python3.14/asyncio/runners.py", line 127, in run (APIServer pid=3720) return self._loop.run_until_complete(task) (APIServer pid=3720) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^ (APIServer pid=3720) File "uvloop/loop.pyx", line 1512, in uvloop.loop.Loop.run_until_complete (APIServer pid=3720) File "uvloop/loop.pyx", line 1505, in uvloop.loop.Loop.run_until_complete (APIServer pid=3720) self.run_forever() (APIServer pid=3720) File "uvloop/loop.pyx", line 1379, in uvloop.loop.Loop.run_forever (APIServer pid=3720) self._run(mode) (APIServer pid=3720) File "uvloop/loop.pyx", line 557, in uvloop.loop.Loop._run (APIServer pid=3720) raise self._last_error (APIServer pid=3720) File "uvloop/loop.pyx", line 476, in uvloop.loop.Loop._on_idle (APIServer pid=3720) handler._run() (APIServer pid=3720) File "uvloop/cbhandles.pyx", line 83, in uvloop.loop.Handle._run (APIServer pid=3720) File "uvloop/cbhandles.pyx", line 63, in uvloop.loop.Handle._run (APIServer pid=3720) callback(*args) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/uvloop/__init__.py", line 48, in wrapper (APIServer pid=3720) return await main (APIServer pid=3720) ^^^^^^^^^^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/entrypoints/openai/api_server.py", line 678, in run_server (APIServer pid=3720) await run_server_worker(listen_address, sock, args, **uvicorn_kwargs) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/entrypoints/openai/api_server.py", line 696, in run_server_worker (APIServer pid=3720) shutdown_task = await build_and_serve( (APIServer pid=3720) ^^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) engine_client, listen_address, sock, args, **uvicorn_kwargs (APIServer pid=3720) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) ) (APIServer pid=3720) ^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/entrypoints/openai/api_server.py", line 594, in build_and_serve (APIServer pid=3720) await init_app_state(engine_client, app.state, args, supported_tasks) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/entrypoints/openai/api_server.py", line 407, in init_app_state (APIServer pid=3720) await init_generate_state( (APIServer pid=3720) engine_client, state, args, request_logger, supported_tasks (APIServer pid=3720) ) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/entrypoints/openai/generate/api_router.py", line 140, in init_generate_state (APIServer pid=3720) state.openai_serving_chat.warmup() (APIServer pid=3720) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/entrypoints/openai/chat_completion/serving.py", line 181, in warmup (APIServer pid=3720) self.renderer.warmup( (APIServer pid=3720) ~~~~~~~~~~~~~~~~~~~~^ (APIServer pid=3720) ChatParams( (APIServer pid=3720) ^^^^^^^^^^^ (APIServer pid=3720) ...... (APIServer pid=3720) ) (APIServer pid=3720) ^ (APIServer pid=3720) ) (APIServer pid=3720) ^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/renderers/base.py", line 251, in warmup (APIServer pid=3720) self._warmup_mm_processor( (APIServer pid=3720) ~~~~~~~~~~~~~~~~~~~~~~~~~^ (APIServer pid=3720) self.mm_processor, (APIServer pid=3720) ^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) log_prefix="Multi-modal", (APIServer pid=3720) ^^^^^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) ) (APIServer pid=3720) ^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/renderers/base.py", line 221, in _warmup_mm_processor (APIServer pid=3720) _ = processor.apply(processor_inputs, timing_ctx=TimingContext(enabled=False)) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/multimodal/processing/processor.py", line 1685, in apply (APIServer pid=3720) ) = self._cached_apply_hf_processor(inputs, timing_ctx) (APIServer pid=3720) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/multimodal/processing/processor.py", line 1474, in _cached_apply_hf_processor (APIServer pid=3720) ) = self._apply_hf_processor_main( (APIServer pid=3720) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ (APIServer pid=3720) prompt=inputs.prompt, (APIServer pid=3720) ^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) ...... (APIServer pid=3720) enable_hf_prompt_update=False, (APIServer pid=3720) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) ) (APIServer pid=3720) ^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/multimodal/processing/processor.py", line 1291, in _apply_hf_processor_main (APIServer pid=3720) mm_processed_data = self._apply_hf_processor_mm_only( (APIServer pid=3720) mm_items=mm_items, (APIServer pid=3720) hf_processor_mm_kwargs=hf_processor_mm_kwargs, (APIServer pid=3720) tokenization_kwargs=tokenization_kwargs, (APIServer pid=3720) ) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/multimodal/processing/processor.py", line 1232, in _apply_hf_processor_mm_only (APIServer pid=3720) _, mm_processed_data, _ = self._apply_hf_processor_text_mm( (APIServer pid=3720) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ (APIServer pid=3720) prompt_text=self.dummy_inputs.get_dummy_text(mm_counts), (APIServer pid=3720) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) ...... (APIServer pid=3720) tokenization_kwargs=tokenization_kwargs, (APIServer pid=3720) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) ) (APIServer pid=3720) ^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/multimodal/processing/processor.py", line 1153, in _apply_hf_processor_text_mm (APIServer pid=3720) processed_data = self._call_hf_processor( (APIServer pid=3720) prompt=prompt_text, (APIServer pid=3720) ...... (APIServer pid=3720) tok_kwargs=tokenization_kwargs, (APIServer pid=3720) ) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/model_executor/models/qwen3_vl.py", line 1265, in _call_hf_processor (APIServer pid=3720) video_outputs = super()._call_hf_processor( (APIServer pid=3720) prompt="", (APIServer pid=3720) ...... (APIServer pid=3720) tok_kwargs=tok_kwargs, (APIServer pid=3720) ) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/multimodal/processing/processor.py", line 1110, in _call_hf_processor (APIServer pid=3720) return self.info.ctx.call_hf_processor( (APIServer pid=3720) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ (APIServer pid=3720) self.info.get_hf_processor(**mm_kwargs), (APIServer pid=3720) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) dict(text=prompt, **mm_data), (APIServer pid=3720) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) dict(**mm_kwargs, **tok_kwargs), (APIServer pid=3720) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) ) (APIServer pid=3720) ^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/multimodal/processing/context.py", line 269, in call_hf_processor (APIServer pid=3720) output = hf_processor(**data, **allowed_kwargs) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/transformers/processing_utils.py", line 668, in __call__ (APIServer pid=3720) processed_videos, videos_replacements = self._process_videos(videos, **merged_kwargs["videos_kwargs"]) (APIServer pid=3720) ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/transformers/processing_utils.py", line 770, in _process_videos (APIServer pid=3720) processed_videos = self.video_processor(videos, **kwargs) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/transformers/video_processing_utils.py", line 178, in __call__ (APIServer pid=3720) return self.preprocess(videos, **kwargs) (APIServer pid=3720) ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/transformers/video_processing_utils.py", line 369, in preprocess (APIServer pid=3720) preprocessed_videos = self._preprocess(videos=videos, **kwargs) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/transformers/models/qwen3_vl/video_processing_qwen3_vl.py", line 223, in _preprocess (APIServer pid=3720) stacked_videos = self.rescale_and_normalize( (APIServer pid=3720) stacked_videos, do_rescale, rescale_factor, do_normalize, image_mean, image_std (APIServer pid=3720) ) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/transformers/image_processing_backends.py", line 346, in rescale_and_normalize (APIServer pid=3720) images = self.normalize(images.to(dtype=torch.float32), image_mean, image_std) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/transformers/image_processing_backends.py", line 300, in normalize (APIServer pid=3720) def normalize( (APIServer pid=3720) (APIServer pid=3720) File "/mnt/c/Users/AI-Space001/venv-vllm/lib/python3.14/site-packages/vllm/entrypoints/openai/api_server.py", line 673, in _interrupt_init (APIServer pid=3720) raise KeyboardInterrupt("terminated") (APIServer pid=3720) KeyboardInterrupt: terminated

烙馍网徐工徐工，祝您成功

一路向北一起战胜癌症

一路向北已经添加

一路向北申请友情链接：名称：烙馍省钱网址：https://tb-m.luomor.com/ 已添加文心AIGC

一路向北已经添加

一路向北申请友情链接：名称：烙馍省钱网址：https://tb-m.luomor.com/ 已添加烙馍网

一路向北已加

一路向北申请友情链接：名称：烙馍网网址：https://www.luomor.com/ 已添加文心AIGC

热评文章

多模态大模型 vLLM Wan2.2-I2V 启动命令解析与优化方案

AI戏剧 Jellyfish 对接 RustFS 完整配置指南：高性能对象存储落地实操

Rust RustFS 从零配置指南：轻量高性能 S3 对象存储快速搭建

Rust 吊打传统对象存储？RustFS：基于Rust的高性能S3兼容分布式存储

CUDA 彻底解决CUDA OOM显存溢出：明明显存充足却分配失败（显存碎片终极方案）

Python PyTorch WSL 警告：Using ‘pin_memory=False’ 性能变慢终极解决方案

Linux 开发者必备神器：一文吃透 curl，从入门到实战

AI 彻底解决！hf download 国内镜像高速下载模型/数据集（2026最新教程）

AI 解决 hf-cli 安装报错：gbk codec can’t encode character ‘\u2713’ 编码异常完整修复指南

AI Windows 一键安装 Hugging Face hf CLI：详解 irm https://hf.co/cli/install.ps1 | iex 完整命令

2026年7月大模型最新排行榜：神仙打架！国产模型正式跻身全球第一梯队

低显存极速部署 LTX2.3 视频模型｜BBuf ltx23-modelopt-fp8-sglang-transformer 完整解析

国产开源标杆 Qwen（通义千问）深度解析：从小模型到旗舰全谱系大模型

Bernini-R + ComfyUI 完整部署使用指南

彻底搞懂 WSL 存储目录：文件到底存在哪？双向访问、目录结构、避坑指南

亲测可用！SGLang 极速部署 Wan2.2-TI2V-5B 图文视频生成模型

comfyui .\python_embeded\python.exe -s ComfyUI\main.py

Mac 干货｜带你看懂 macOS 「.开头隐藏文件夹」，秒会显示/隐藏技巧

HPC 并行开发必备：一文看懂 LLVM/OpenMP 官方文档站 openmp.llvm.org

macOS Lombok 编译报错完整排查方案