[{"data":1,"prerenderedAt":913},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-gpt4all-vs-jan":8,"compare-a-gpt4all":9,"compare-b-jan":495},{"tools":4,"reviews":5},98,27,{"tools":4,"reviews":5,"playbooks":7,"news":5},22,null,{"id":10,"title":11,"alternatives":12,"api_compatible":8,"body":16,"category":460,"chinese_friendly":449,"cover":461,"description":462,"domestic":463,"extension":464,"faq":8,"free":463,"github":441,"languages":465,"lastVerified":467,"meta":468,"models":8,"navigation":469,"notSuitable":8,"opensource":469,"path":470,"pillar":471,"platforms":472,"priceTable":8,"pricing":476,"published":477,"relatedPlaybooks":8,"relatedReviews":8,"score":478,"self_host":463,"seo":481,"seoTitle":482,"slug":483,"sources":484,"stem":487,"suitable":8,"tagline":488,"tags":489,"updated":467,"verdict":493,"website":433,"__hash__":494},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Fgpt4all.md","GPT4All",[13,14,15],"coding\u002Flocal\u002Follama","coding\u002Flocal\u002Flm-studio","coding\u002Flocal\u002Fjan",{"type":17,"value":18,"toc":444},"minimark",[19,24,33,36,39,91,94,100,133,136,140,148,165,170,187,190,215,218,316,319,351,355,378,382,388,394,400,403,419,422,427],[20,21,23],"h2",{"id":22},"tldr","TL;DR",[25,26,27,28,32],"p",{},"GPT4All 是 Nomic AI 出品的本地 LLM 推理工具，最大卖点是",[29,30,31],"strong",{},"CPU 也能跑","——没有独立显卡的普通笔记本 \u002F 办公本照样运行本地大模型。MIT 开源，桌面客户端一键下载 GGUF 模型，开箱即用。适合无 GPU 设备、隐私优先、轻量本地推理场景。",[25,34,35],{},"适合：没有独立 GPU 的笔记本 \u002F 办公本用户、需要完全离线本地推理、隐私敏感场景、轻量聊天 \u002F 文档处理。不适合：需要高速推理（CPU 太慢）、需要 OpenAI 兼容 API 给应用接入（用 Ollama）、需要大模型（32B+，CPU 跑不动）。",[20,37,38],{"id":38},"核心能力",[40,41,42,49,55,61,67,73,79,85],"ul",{},[43,44,45,48],"li",{},[29,46,47],{},"CPU 推理","：基于 llama.cpp 优化，纯 CPU 跑 7B 量化模型，无需 GPU",[43,50,51,54],{},[29,52,53],{},"一键下载模型","：内置模型库，点击即下载 GGUF 格式模型，自动配置",[43,56,57,60],{},[29,58,59],{},"桌面客户端","：跨平台 GUI（Win \u002F Mac \u002F Linux），聊天界面开箱即用",[43,62,63,66],{},[29,64,65],{},"LocalDocs（RAG）","：内置文档问答功能，拖入 PDF \u002F 文档即可基于本地文档聊天",[43,68,69,72],{},[29,70,71],{},"OpenAI 兼容 API","：内置 Local Server，暴露 OpenAI 兼容端点供应用调用",[43,74,75,78],{},[29,76,77],{},"模型库丰富","：Llama \u002F Qwen \u002F Mistral \u002F Phi \u002F GPT-OSS 等主流开源模型可选",[43,80,81,84],{},[29,82,83],{},"GPU 加速（可选）","：有 GPU 时自动启用，速度提升数倍",[43,86,87,90],{},[29,88,89],{},"MIT 开源","：完全免费，可商用，提供 Python \u002F C++ SDK 二次开发",[20,92,93],{"id":93},"价格",[95,96,97],"blockquote",{},[25,98,99],{},"以下信息为 2026-07-30 核实。",[101,102,103,118],"table",{},[104,105,106],"thead",{},[107,108,109,113,115],"tr",{},[110,111,112],"th",{},"方案",[110,114,93],{},[110,116,117],{},"说明",[119,120,121],"tbody",{},[107,122,123,127,130],{},[124,125,126],"td",{},"开源版",[124,128,129],{},"$0",[124,131,132],{},"完整功能，MIT 协议，商用免费",[25,134,135],{},"完全免费。成本在于硬件（CPU \u002F 内存）和你选用的模型。",[20,137,139],{"id":138},"体验与评测资料整理","体验与评测（资料整理）",[95,141,142],{},[25,143,144,145],{},"说明：本节基于官方文档与公开评测整理，非本站独立实测环境，具体数据请以官方为准。\n",[29,146,147],{},"亮点：",[40,149,150,153,156,159,162],{},[43,151,152],{},"纯 CPU 跑 Qwen2.5-7B-Q4 在 i7 笔记本上约 5-8 tok\u002Fs，轻量聊天可用",[43,154,155],{},"LocalDocs 文档问答好用：拖入技术 PDF，直接问问题，完全离线",[43,157,158],{},"模型一键下载体验顺滑，不用手动找 GGUF + 配路径",[43,160,161],{},"有 GPU 时自动加速，RTX 3060 跑 7B 约 30-40 tok\u002Fs",[43,163,164],{},"桌面 GUI 简洁易用，非技术用户也能上手",[25,166,167],{},[29,168,169],{},"踩坑：",[40,171,172,175,178,181,184],{},[43,173,174],{},"CPU 推理速度慢，7B 模型生成一段代码要等 10-20 秒",[43,176,177],{},"内存占用高：7B-Q4 至少需 8GB RAM，13B 需 16GB",[43,179,180],{},"LocalDocs 的 RAG 质量一般，复杂文档检索准确率不高",[43,182,183],{},"OpenAI 兼容 API 功能弱，不如 Ollama 灵活，不支持自定义 Modelfile",[43,185,186],{},"中文模型支持一般，需手动选 Qwen 等中文友好的模型",[20,188,189],{"id":189},"上手",[191,192,193,196,199,202,205,208],"ol",{},[43,194,195],{},"从 gpt4all.io 下载对应平台安装包",[43,197,198],{},"安装后打开桌面客户端",[43,200,201],{},"点击 \"Downloads\" → 选模型（推荐 Qwen2.5-7B-Q4 或 Llama3.1-8B-Q4）",[43,203,204],{},"下载完成后回到 Chat → 选模型 → 开始聊天",[43,206,207],{},"文档问答：LocalDocs → 添加文档文件夹 → 在聊天中勾选引用",[43,209,210,211],{},"API 接入：Settings → 启用 API Server → 端点 ",[212,213,214],"code",{},"http:\u002F\u002Flocalhost:4891\u002Fv1",[20,216,217],{"id":217},"对比",[101,219,220,235],{},[104,221,222],{},[107,223,224,227,229,232],{},[110,225,226],{},"维度",[110,228,11],{},[110,230,231],{},"Ollama",[110,233,234],{},"LM Studio",[119,236,237,249,262,276,289,303],{},[107,238,239,241,244,247],{},[124,240,47],{},[124,242,243],{},"✅ 优化好",[124,245,246],{},"✅",[124,248,246],{},[107,250,251,254,257,260],{},[124,252,253],{},"GUI",[124,255,256],{},"✅ 桌面",[124,258,259],{},"❌ CLI",[124,261,246],{},[107,263,264,267,270,273],{},[124,265,266],{},"模型下载",[124,268,269],{},"✅ 内置库",[124,271,272],{},"✅ CLI",[124,274,275],{},"✅ GUI 库",[107,277,278,281,284,287],{},[124,279,280],{},"OpenAI API",[124,282,283],{},"基础",[124,285,286],{},"强（Modelfile）",[124,288,246],{},[107,290,291,294,297,300],{},[124,292,293],{},"文档 RAG",[124,295,296],{},"✅ LocalDocs",[124,298,299],{},"需配 WebUI",[124,301,302],{},"需插件",[107,304,305,308,311,313],{},[124,306,307],{},"开源",[124,309,310],{},"MIT",[124,312,310],{},[124,314,315],{},"闭源",[20,317,318],{"id":318},"避坑",[40,320,321,327,333,339,345],{},[43,322,323,326],{},[29,324,325],{},"CPU 用户别跑大模型","：13B 以上 CPU 跑基本不可用，坚持 7B 量化",[43,328,329,332],{},[29,330,331],{},"LocalDocs 别放太多文件","：文件多了索引慢且检索质量下降，分批放",[43,334,335,338],{},[29,336,337],{},"API Server 别对公网开","：默认无鉴权，仅本地用",[43,340,341,344],{},[29,342,343],{},"内存不够会崩","：8GB RAM 只能跑 7B-Q4，别勉强 13B",[43,346,347,350],{},[29,348,349],{},"中文场景选 Qwen","：Llama 系列中文能力弱，Qwen \u002F GLM 更合适",[20,352,354],{"id":353},"适合-不适合","适合 \u002F 不适合",[40,356,357,360,363,366,369,372,375],{},[43,358,359],{},"✅ 没有独立 GPU 的笔记本 \u002F 办公本",[43,361,362],{},"✅ 需要完全离线 + 隐私优先的本地推理",[43,364,365],{},"✅ 轻量聊天 \u002F 文档问答场景",[43,367,368],{},"✅ 非技术用户（GUI 友好）",[43,370,371],{},"❌ 需要高速推理（有 GPU 直接 Ollama）",[43,373,374],{},"❌ 需要给应用 \u002F IDE 接入 API（用 Ollama）",[43,376,377],{},"❌ 需要跑大模型（32B+，CPU 跑不动）",[20,379,381],{"id":380},"faq","FAQ",[25,383,384,387],{},[29,385,386],{},"Q: CPU 跑 7B 模型速度能接受吗？","\nA: 看用途。轻量聊天 \u002F 短问答可以接受（5-8 tok\u002Fs）。但代码生成 \u002F 长文本输出等待时间较长（一段代码 10-20 秒）。有 GPU 强烈建议用 GPU。",[25,389,390,393],{},[29,391,392],{},"Q: GPT4All 和 Ollama 怎么选？","\nA: 没 GPU + 要 GUI → GPT4All。有 GPU + 要 API 接入应用 → Ollama。两者底层都基于 llama.cpp，模型格式通用（GGUF）。",[25,395,396,399],{},[29,397,398],{},"Q: LocalDocs 文档问答好用吗？","\nA: 基础可用但 RAG 质量一般。简单 PDF 问答没问题，复杂文档 \u002F 多文件检索准确率不高。专业 RAG 需求建议配 Open WebUI + 向量数据库。",[20,401,402],{"id":402},"相关阅读",[25,404,405,410,411,410,415],{},[406,407,409],"a",{"href":408},"\u002Fcoding\u002Flocal\u002Fjan.html","Jan"," · ",[406,412,414],{"href":413},"\u002Fcoding\u002Flocal\u002Fvllm.html","vLLM",[406,416,418],{"href":417},"\u002Fagent\u002Fdesktop\u002Fopen-interpreter.html","Open Interpreter",[20,420,421],{"id":421},"来源",[95,423,424],{},[25,425,426],{},"本文的价格、版本号与性能数据均参考以下官方渠道整理，可能随时间变动，请以官方实时信息为准。",[40,428,429,437],{},[43,430,431],{},[406,432,436],{"href":433,"rel":434},"https:\u002F\u002Fgpt4all.io",[435],"nofollow","官网",[43,438,439],{},[406,440,443],{"href":441,"rel":442},"https:\u002F\u002Fgithub.com\u002Fnomic-ai\u002Fgpt4all",[435],"GitHub",{"title":445,"searchDepth":446,"depth":446,"links":447},"",3,[448,450,451,452,453,454,455,456,457,458,459],{"id":22,"depth":449,"text":23},2,{"id":38,"depth":449,"text":38},{"id":93,"depth":449,"text":93},{"id":138,"depth":449,"text":139},{"id":189,"depth":449,"text":189},{"id":217,"depth":449,"text":217},{"id":318,"depth":449,"text":318},{"id":353,"depth":449,"text":354},{"id":380,"depth":449,"text":381},{"id":402,"depth":449,"text":402},{"id":421,"depth":449,"text":421},"local","\u002Fimg\u002Ftools\u002Fgpt4all.webp","GPT4All 真实评测：Nomic AI 出品的本地 LLM 推理工具（MIT 协议），支持 CPU 运行无需 GPU，GGUF 格式模型一键下载。跨平台桌面客户端，适合没有独立显卡、需要在普通笔记本上跑本地大模型的用户。",false,"md",[466],"en","2026-07-30",{},true,"\u002Ftools\u002Fcoding\u002Flocal\u002Fgpt4all","coding",[473,474,475],"windows","macos","linux","Free \u002F 开源（MIT）","2026-07-05",{"power":446,"ux":479,"price":480,"cn_support":449,"stability":479},4,5,{"title":11,"description":462},"GPT4All - 本地 LLM 推理引擎评测与使用 | AIHO","coding\u002Flocal\u002Fgpt4all",[485,486],{"title":436,"url":433},{"title":443,"url":441},"tools\u002Fcoding\u002Flocal\u002Fgpt4all","本地 LLM 推理，Nomic AI 出品，支持 CPU 运行",[460,490,491,492],"cpu-inference","opensource","gguf","没有 GPU 也能跑本地大模型的首选，CPU 推理 + 一键下载模型体验顺滑；但推理速度慢、API 能力弱，有 GPU 用户建议直接 Ollama。","oTtyXhNkQBIi7aJI5YJrsiu_c1A81ifErtlA5QOs9UI",{"id":496,"title":409,"alternatives":497,"api_compatible":8,"body":499,"category":460,"chinese_friendly":446,"cover":893,"description":894,"domestic":463,"extension":464,"faq":8,"free":463,"github":878,"languages":895,"lastVerified":467,"meta":896,"models":8,"navigation":469,"notSuitable":8,"opensource":469,"path":897,"pillar":471,"platforms":898,"priceTable":8,"pricing":899,"published":477,"relatedPlaybooks":8,"relatedReviews":8,"score":900,"self_host":463,"seo":901,"seoTitle":902,"slug":15,"sources":903,"stem":906,"suitable":8,"tagline":907,"tags":908,"updated":467,"verdict":911,"website":872,"__hash__":912},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Fjan.md",[14,498,13],"coding\u002Flocal\u002Fcherry-studio",{"type":17,"value":500,"toc":880},[501,503,510,513,515,564,566,570,593,596,598,604,621,625,642,644,664,666,771,773,805,807,829,831,837,843,849,851,860,862,866],[20,502,23],{"id":22},[25,504,505,506,509],{},"Jan 是开源的本地 LLM 桌面客户端，定位是",[29,507,508],{},"ChatGPT 的离线替代品","。界面设计精美，操作体验接近 ChatGPT，支持 GGUF 模型一键下载、本地推理、多模型切换、插件扩展。AGPL 开源，完全免费。适合想要一个好看好用的本地 AI 聊天工具、隐私优先的用户。",[25,511,512],{},"适合：想要 ChatGPT 颜值和体验的本地替代、个人离线聊天、隐私敏感场景、非技术用户（GUI 友好）。不适合：需要 OpenAI 兼容 API 给应用接入（用 Ollama）、需要模型调参 \u002F 量化选择（用 LM Studio）、企业商用（AGPL 限制）。",[20,514,38],{"id":38},[40,516,517,523,528,534,540,546,552,558],{},[43,518,519,522],{},[29,520,521],{},"ChatGPT 式界面","：聊天 UI 设计精美，多会话管理、Markdown 渲染、代码高亮",[43,524,525,527],{},[29,526,53],{},"：内置模型市场，搜索 GGUF 模型点击下载，自动配置",[43,529,530,533],{},[29,531,532],{},"本地推理","：基于 llama.cpp，支持 CPU \u002F GPU 加速，完全离线运行",[43,535,536,539],{},[29,537,538],{},"多模型切换","：一个会话可切换不同模型对比输出，方便评估",[43,541,542,545],{},[29,543,544],{},"插件系统","：支持扩展功能，如网页搜索、文档分析、API 代理等",[43,547,548,551],{},[29,549,550],{},"远程 API 接入","：除了本地模型，也支持接 OpenAI \u002F Anthropic 等云端 API",[43,553,554,557],{},[29,555,556],{},"跨平台桌面 App","：Win \u002F Mac \u002F Linux 原生安装包，Electron 构建",[43,559,560,563],{},[29,561,562],{},"隐私优先","：所有数据本地存储，无遥测，无云端调用（本地模型模式）",[20,565,93],{"id":93},[95,567,568],{},[25,569,99],{},[101,571,572,582],{},[104,573,574],{},[107,575,576,578,580],{},[110,577,112],{},[110,579,93],{},[110,581,117],{},[119,583,584],{},[107,585,586,588,590],{},[124,587,126],{},[124,589,129],{},[124,591,592],{},"完整功能，AGPL 协议",[25,594,595],{},"完全免费。注意 AGPL 协议：个人使用无限制，但二次开发 \u002F 商用需遵守开源传染条款。",[20,597,139],{"id":138},[95,599,600],{},[25,601,144,602],{},[29,603,147],{},[40,605,606,609,612,615,618],{},[43,607,608],{},"界面设计是同类最佳：比 LM Studio \u002F GPT4All 好看很多，接近 ChatGPT 体验",[43,610,611],{},"模型下载体验顺滑：搜索 → 下载 → 使用，全程 GUI，零命令行",[43,613,614],{},"多模型对比实用：同一问题切换模型看不同回答，选模型很方便",[43,616,617],{},"插件系统有潜力：网页搜索插件让本地模型也能联网",[43,619,620],{},"支持云端 API 混用：本地模型 + GPT-4o 切换，一个客户端搞定",[25,622,623],{},[29,624,169],{},[40,626,627,630,633,636,639],{},[43,628,629],{},"Electron 应用内存占用偏高，老设备偶有卡顿",[43,631,632],{},"模型管理不如 LM Studio：量化版本选择少，调参选项有限",[43,634,635],{},"API Server 功能弱：有 OpenAI 兼容端点但不如 Ollama 灵活",[43,637,638],{},"插件生态尚不成熟，可用插件不多",[43,640,641],{},"AGPL 协议对企业不友好，商用需注意合规",[20,643,189],{"id":189},[191,645,646,649,652,655,658,661],{},[43,647,648],{},"从 jan.ai 下载对应平台安装包",[43,650,651],{},"安装后打开 Jan，界面类似 ChatGPT",[43,653,654],{},"点击模型市场（Hub）→ 搜索推荐模型（Qwen2.5-7B \u002F Llama3.1-8B）",[43,656,657],{},"下载模型后，新建会话 → 选择模型 → 开始聊天",[43,659,660],{},"多模型对比：同一会话切换模型或开多个会话",[43,662,663],{},"接云端 API：Settings → API Keys → 填入 OpenAI Key 即可混用",[20,665,217],{"id":217},[101,667,668,683],{},[104,669,670],{},[107,671,672,674,676,678,680],{},[110,673,226],{},[110,675,409],{},[110,677,234],{},[110,679,231],{},[110,681,682],{},"Cherry Studio",[119,684,685,701,715,728,742,756],{},[107,686,687,690,693,696,699],{},[124,688,689],{},"界面颜值",[124,691,692],{},"高",[124,694,695],{},"中",[124,697,698],{},"无 GUI",[124,700,692],{},[107,702,703,706,708,711,713],{},[124,704,705],{},"模型管理",[124,707,695],{},[124,709,710],{},"强",[124,712,710],{},[124,714,695],{},[107,716,717,720,722,724,726],{},[124,718,719],{},"API 接入",[124,721,283],{},[124,723,246],{},[124,725,710],{},[124,727,246],{},[107,729,730,733,735,738,740],{},[124,731,732],{},"插件扩展",[124,734,246],{},[124,736,737],{},"❌",[124,739,737],{},[124,741,246],{},[107,743,744,747,749,751,754],{},[124,745,746],{},"云端 API 混用",[124,748,246],{},[124,750,246],{},[124,752,753],{},"需配",[124,755,246],{},[107,757,758,761,764,766,768],{},[124,759,760],{},"开源协议",[124,762,763],{},"AGPL",[124,765,315],{},[124,767,310],{},[124,769,770],{},"Apache",[20,772,318],{"id":318},[40,774,775,781,787,793,799],{},[43,776,777,780],{},[29,778,779],{},"别指望它做 API 服务器","：Jan 的 API Server 功能基础，给应用接入用 Ollama",[43,782,783,786],{},[29,784,785],{},"模型选对量化","：默认下载的可能不是最优量化，手动选 Q4_K_M 平衡速度质量",[43,788,789,792],{},[29,790,791],{},"Electron 吃内存","：8GB RAM 设备跑大模型 + Jan 本身会卡，关其他应用",[43,794,795,798],{},[29,796,797],{},"AGPL 商用注意","：企业内部署需法务确认 AGPL 合规",[43,800,801,804],{},[29,802,803],{},"插件别装太多","：部分插件质量参差，可能影响稳定性",[20,806,354],{"id":353},[40,808,809,812,815,818,821,823,826],{},[43,810,811],{},"✅ 想要 ChatGPT 颜值和体验的本地替代",[43,813,814],{},"✅ 个人离线聊天 \u002F 隐私优先场景",[43,816,817],{},"✅ 非技术用户（GUI 友好，零命令行）",[43,819,820],{},"✅ 本地 + 云端 API 混用需求",[43,822,374],{},[43,824,825],{},"❌ 需要精细模型调参 \u002F 量化管理（用 LM Studio）",[43,827,828],{},"❌ 企业商用（AGPL 限制）",[20,830,381],{"id":380},[25,832,833,836],{},[29,834,835],{},"Q: Jan 和 LM Studio 怎么选？","\nA: 颜值和聊天体验选 Jan，模型管理和调参选 LM Studio。Jan 更像 ChatGPT，LM Studio 更像模型工具箱。两者都免费，可以都装。",[25,838,839,842],{},[29,840,841],{},"Q: 能给 Cursor \u002F Cline 接入吗？","\nA: Jan 有 OpenAI 兼容 API Server（默认端口 1337），理论上可以。但不如 Ollama 稳定灵活，推荐用 Ollama 做 API 服务器。",[25,844,845,848],{},[29,846,847],{},"Q: AGPL 协议影响个人使用吗？","\nA: 不影响。AGPL 主要约束网络服务分发场景。个人本地使用完全无限制。只有你把 Jan 改造后对外提供 SaaS 服务才需开源你的修改。",[20,850,402],{"id":402},[25,852,853,410,856,410,858],{},[406,854,11],{"href":855},"\u002Fcoding\u002Flocal\u002Fgpt4all.html",[406,857,414],{"href":413},[406,859,418],{"href":417},[20,861,421],{"id":421},[95,863,864],{},[25,865,426],{},[40,867,868,874],{},[43,869,870],{},[406,871,436],{"href":872,"rel":873},"https:\u002F\u002Fjan.ai",[435],[43,875,876],{},[406,877,443],{"href":878,"rel":879},"https:\u002F\u002Fgithub.com\u002Fjanhq\u002Fjan",[435],{"title":445,"searchDepth":446,"depth":446,"links":881},[882,883,884,885,886,887,888,889,890,891,892],{"id":22,"depth":449,"text":23},{"id":38,"depth":449,"text":38},{"id":93,"depth":449,"text":93},{"id":138,"depth":449,"text":139},{"id":189,"depth":449,"text":189},{"id":217,"depth":449,"text":217},{"id":318,"depth":449,"text":318},{"id":353,"depth":449,"text":354},{"id":380,"depth":449,"text":381},{"id":402,"depth":449,"text":402},{"id":421,"depth":449,"text":421},"\u002Fimg\u002Ftools\u002Fjan.webp","Jan 真实评测：开源本地 LLM 桌面客户端（AGPL 协议），定位 ChatGPT 的离线替代，支持 GGUF 模型一键下载 + 本地推理 + 插件扩展。跨平台桌面 app，适合需要完全离线、隐私优先的本地 AI 聊天场景。",[466],{},"\u002Ftools\u002Fcoding\u002Flocal\u002Fjan",[473,474,475],"Free \u002F 开源（AGPL）",{"power":446,"ux":479,"price":480,"cn_support":446,"stability":446},{"title":409,"description":894},"Jan - 开源本地 LLM 桌面客户端评测 | AIHO",[904,905],{"title":436,"url":872},{"title":443,"url":878},"tools\u002Fcoding\u002Flocal\u002Fjan","开源本地 LLM 桌面客户端，定位 ChatGPT 的离线替代",[460,909,491,492,910],"desktop","offline","颜值最高、最像 ChatGPT 的开源本地 LLM 客户端，离线聊天体验好；但 API 能力和模型管理不如 Ollama\u002FLM Studio，定位偏轻量个人使用。","SYftPw58WAWIAEA4qHpFo2Ki3Z1H9q97Rp4jQR560KE",1785428443691]