大型语言模型

ChatGPT

Claude

Deepseek

Gemini

Grok

Kimi

Qwen

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！

烙馍网田字格米字格字帖生成器，低年级学生练字神器

大型语言模型 Mac本地AI终极方案：Docker + MLX，榨干Apple Silicon全部性能🚀

用Mac跑本地大模型的朋友，大概率都踩过这些坑：PyTorch MPS加速不稳定、模型推理速度拉胯、环境依赖混…

大型语言模型 MLX：Apple Silicon Mac 原生 AI 框架，把大模型跑在你的 Mac GPU 上

MLX 就是苹果把Metal + 统一内存能力封装出来的机器学习数组框架，专门给 M 系列芯片做本地 AI 推…

Claude 重磅更新！Claude 正式支持银联支付，国内用户付费终于无门槛

一直以来，国内AI爱好者使用Claude最大的痛点不是功能不够强，而是付费太难。过去想开通Claude Pr…

ChatGPT 极简教程：使用 Curl 获取 OpenAI 全部可用模型列表

在日常开发、调试 AI 接口的过程中，我们经常需要查看当前 OpenAI API Key 支持的所有模型，区分…

大型语言模型 一文吃透AI主流精度格式：4/8bit、BF16、MXFP、NVFP、MTP、MLX全解析

在大模型训练、推理、本地部署场景中，数值精度格式直接决定模型的显存占用、推理速度、训练稳定性与最终精度。从传统…

大型语言模型 Mac Studio 部署 Qwen3.8-27B 全踩坑指南（vLLM-Metal + Ollama 报错终极解决）

近期在 Apple Silicon Mac Studio 上部署 Qwen3.8-27B-bf16（MLX 版…

大型语言模型 【实战排坑】Mac MLX 下载 Qwen3.8-27B-bf16 镜像失败、无限重试终极解决方案

最近在 Mac 设备上部署 mlx-community/Qwen3.8-27B-bf16 大模型时，遇到了国内…

大型语言模型 macOS 本地部署 Qwen3.8-27B｜vLLM Metal 加速实战（M系列芯片专属）

一、前置硬件 & 系统要求 Mac 统一内存，系统会预留一部分内存给操作系统，所以内存选型是跑 Qwe…

大型语言模型 MacBook本地极速部署Qwen大模型！vLLM+Metal加速保姆级教程

很多小伙伴想在 M 系列 Mac 本地跑通义千问 Qwen，但原生 transformers 推理慢，MPS …

ChatGPT GPT-6 正式登场！不止是更强，而是真正会“自主干活”的AI

AI迭代的速度，永远比我们想象的更快。时隔一年多，OpenAI 终于交出重磅新作——GPT-6 Astra，…

最新评论

烙馍网 SI了都要AI

烙馍网 AI的要SI

烙馍网随着雄商高铁 2026 年 9 月 28 日开通，京港高铁仅剩两段待完工：昌九高铁预计 2027 年 3 月通车；北京丰台至雄安段尚在前期阶段，暂未确定开工时间。2027 年昌九段通车后，雄安至香港西九龙可实现京港高铁正线贯通；整条通道（北京丰台至香港西九龙）全线贯通时间，需等待丰雄高铁落地，暂无官方明确时间表。

烙馍网强烈推荐烙馍网字帖生成器：https://zt.luomor.com/。免费免登录，内置小学各年级生字库，田字格、米字格随意切换，支持拼音、笔顺描红，描红深浅可调。输入文字实时预览，A4 直接打印，给孩子做生字练习非常省心，家长必备练字工具

烙馍网现在很多物业只收钱不做事，自己买的停车位，缴了停车管理费，排风系统不开，系统不运行年久失修已经锈了，这种物业有必要存在吗？

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

热评文章

大型语言模型 Mac本地AI终极方案：Docker + MLX，榨干Apple Silicon全部性能🚀

大型语言模型 MLX：Apple Silicon Mac 原生 AI 框架，把大模型跑在你的 Mac GPU 上

Claude 重磅更新！Claude 正式支持银联支付，国内用户付费终于无门槛

ChatGPT 极简教程：使用 Curl 获取 OpenAI 全部可用模型列表

大型语言模型 一文吃透AI主流精度格式：4/8bit、BF16、MXFP、NVFP、MTP、MLX全解析

大型语言模型 Mac Studio 部署 Qwen3.8-27B 全踩坑指南（vLLM-Metal + Ollama 报错终极解决）

大型语言模型 【实战排坑】Mac MLX 下载 Qwen3.8-27B-bf16 镜像失败、无限重试终极解决方案

大型语言模型 macOS 本地部署 Qwen3.8-27B｜vLLM Metal 加速实战（M系列芯片专属）

大型语言模型 MacBook本地极速部署Qwen大模型！vLLM+Metal加速保姆级教程

ChatGPT GPT-6 正式登场！不止是更强，而是真正会“自主干活”的AI

今年隐翅虫大爆发？到处都是的真相终于说透了

Windows Hosts 完全指南：作用、修改、生效、避坑（新手零基础看懂）

Mac Studio 部署 Qwen3.8-27B 全踩坑指南（vLLM-Metal + Ollama 报错终极解决）

2026欧洲旅游费用明细｜穷游/舒适/轻奢档位，一次性算清！

家长老师必藏🔥免费在线字帖生成工具｜zt.luomor.com

AI正式更名SI！沿用数十年的人工智能，为何突然换名？

京港高铁：贯穿中国南北的超级高铁大动脉✨

家长老师必藏🔥免费在线字帖生成工具｜zt.luomor.com

Ubuntu 查看CPU数量（物理CPU/核心/线程）最全命令指南

WordPress 快速添加 llms.txt：让AI搜索引擎精准抓取你的全站内容