llms.json

[
  {
    "id": 1,
    "name": "LLaMA",
    "vendor": "Meta",
    "intro": "LLaMA-13B outperforms GPT-3(175B) and LLaMA-65B is competitive to PaLM-540M.<br />Base model for most follow-up works.",
    "region": "US",
    "tags": [
      "Python",
      "OpenSource",
      "1B",
      "10B"
    ],
    "url": "https://github.com/facebookresearch/llama",
    "icon": "",
    "publish_time": "2023-02-14T09:29:12Z"
  },
  {
    "id": 2,
    "name": "llama.cpp",
    "vendor": "@ggerganov",
    "intro": "c/cpp implementation for llama and some other models, using quantization.",
    "region": "",
    "tags": [
      "C/C++",
      "OpenSource",
      "1B",
      "10B"
    ],
    "url": "https://github.com/ggerganov/llama.cpp",
    "icon": "",
    "publish_time": "2023-03-10T18:58:00Z"
  },
  {
    "id": 3,
    "name": "Alpaca",
    "vendor": "Stanford",
    "intro": "use 52K instruction-following data generated by Self-Instructt techniques to fine-tune 7B LLaMA,<br /> the resulting model,  Alpaca, behaves similarly to the `text-davinci-003` model on the Self-Instruct instruction-following evaluation suite.<br />Alpaca has inspired many follow-up models.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/tatsu-lab/stanford_alpaca",
    "icon": "",
    "publish_time": "2023-03-10T23:33:09Z"
  },
  {
    "id": 4,
    "name": "BELLE",
    "vendor": "LianJiaTech",
    "intro": "maybe the first Chinese model to follow Alpaca.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/LianjiaTech/BELLE",
    "icon": "",
    "publish_time": "2023-03-17T09:44:11Z"
  },
  {
    "id": 5,
    "name": "ChatGLM-6B",
    "vendor": "Tsinghua",
    "intro": "well-known Chinese model, in chat mode, and can run on single GPU.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/THUDM/ChatGLM-6B",
    "icon": "",
    "publish_time": "2023-03-13T12:00:18Z"
  },
  {
    "id": 6,
    "name": "Dolly",
    "vendor": "Databricks",
    "intro": "use Alpaca data to fine-tune a 2-year-old model: GPT-J, which exhibits surprisingly high quality<br /> instruction following behavior not characteristic of the foundation model on which it is based.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/databrickslabs/dolly",
    "icon": "",
    "publish_time": "2023-03-24T16:15:53Z"
  },
  {
    "id": 7,
    "name": "Alpaca-LoRA",
    "vendor": "@tloen",
    "intro": "trained within hours on a single RTX 4090,<br />reproducing the <a href=\"https://github.com/tatsu-lab/stanford_alpaca\">Stanford Alpaca</a> results using <a href=\"https://arxiv.org/pdf/2106.09685.pdf\">low-rank adaptation (LoRA)</a>,<br />and can run on a Raspberry pi.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/tloen/alpaca-lora",
    "icon": "",
    "publish_time": "2023-03-13T21:52:36Z"
  },
  {
    "id": 8,
    "name": "ColossalChat",
    "vendor": "ColossalAI",
    "intro": "provides a unified large language model framework, including:<br />Supervised datasets collection<br />Supervised instructions fine-tuning<br />Reward model training<br />RLHF<br />Quantization inference<br />Fast model deploying<br />Perfectly integrated with the Hugging Face ecosystem",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/hpcaitech/ColossalAI/blob/main/applications/Chat/README.md",
    "icon": "",
    "publish_time": null
  },
  {
    "id": 9,
    "name": "LLaMA-Adapter",
    "vendor": "Shanghai AI Lab",
    "intro": "Fine-tuning LLaMA to follow instructions within 1 Hour and 1.2M Parameters",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/ZrrSkywalker/LLaMA-Adapter",
    "icon": "",
    "publish_time": "2023-03-19T15:08:12Z"
  },
  {
    "id": 10,
    "name": "Alpaca-CoT",
    "vendor": "PhoebusSi",
    "intro": "extend CoT data to Alpaca to boost its reasoning ability.<br />aims to build an instruction finetuning (IFT) platform with extensive instruction collection (especially the CoT datasets)<br /> and a unified interface for various large language models.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/PhoebusSi/Alpaca-CoT",
    "icon": "",
    "publish_time": "2023-03-24T09:15:41Z"
  },
  {
    "id": 11,
    "name": "Llama-X",
    "vendor": "AetherCortex",
    "intro": "Open Academic Research on Improving LLaMA to SOTA LLM",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/AetherCortex/Llama-X",
    "icon": "",
    "publish_time": "2023-03-30T11:57:12Z"
  },
  {
    "id": 12,
    "name": "OpenChatKit",
    "vendor": "TogetherComputer",
    "intro": "OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots for various applications.<br /> The kit includes an instruction-tuned language models, a moderation model, and an extensible retrieval system for including <br />up-to-date responses from custom repositories.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/togethercomputer/OpenChatKit",
    "icon": "",
    "publish_time": "2023-03-03T00:12:53Z"
  },
  {
    "id": 13,
    "name": "GPT4All",
    "vendor": "nomic-ai",
    "intro": "trained on a massive collection of clean assistant data including code, stories and dialogue",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/nomic-ai/gpt4all",
    "icon": "",
    "publish_time": "2023-03-27T18:49:32Z"
  },
  {
    "id": 14,
    "name": "Chinese-LLaMA-Alpaca",
    "vendor": "@ymcui",
    "intro": "expand the Chinese vocabulary based on the original LLaMA and use Chinese data for secondary pre-training,<br /> further enhancing Chinese basic semantic understanding. Additionally, the project uses Chinese instruction data<br /> for fine-tuning on the basis of the Chinese LLaMA, significantly improving the model's understanding and execution of instructions.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/ymcui/Chinese-LLaMA-Alpaca",
    "icon": "",
    "publish_time": "2023-03-15T11:09:39Z"
  },
  {
    "id": 15,
    "name": "Vicuna",
    "vendor": "UC Berkley, Stanford, CMU",
    "intro": "Impressing GPT-4 with 90% ChatGPT Quality",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/lm-sys/FastChat",
    "icon": "",
    "publish_time": "2023-03-19T00:18:02Z"
  },
  {
    "id": 16,
    "name": "bloomz.cpp",
    "vendor": "@NouamaneTazi",
    "intro": "C++ implementation for BLOOM inference.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/NouamaneTazi/bloomz.cpp",
    "icon": "",
    "publish_time": "2023-03-12T18:40:53Z"
  },
  {
    "id": 17,
    "name": "LMFlow",
    "vendor": "HKUST",
    "intro": "LMFlow is an extensible, convenient, and efficient toolbox for finetuning large machine learning models, designed to be user-friendly, speedy and reliable, and accessible to the entire community.<br />RAFT is a new alignment algorithm, which is more efficient than conventional (PPO-based) RLHF.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/OptimalScale/LMFlow",
    "icon": "",
    "publish_time": "2023-03-27T13:56:29Z"
  },
  {
    "id": 18,
    "name": "Cerebras-GPT",
    "vendor": "Cerebras Systems",
    "intro": "Pretrained LLM, GPT-3 like, Commercially available, efficiently trained on the <a href=\"https://www.cerebras.net/andromeda/\">Andromeda</a> AI supercomputer,<br />trained in accordance with <a href=\"https://arxiv.org/abs/2203.15556\">Chinchilla scaling laws</a> (20 tokens per model parameter) which is compute-optimal.",
    "region": "",
    "tags": [],
    "url": "https://huggingface.co/cerebras/Cerebras-GPT-13B",
    "icon": ""
  },
  {
    "id": 19,
    "name": "ChatDoctor",
    "vendor": "UT Southwestern/UIUC/OSU/HDU",
    "intro": "Maybe the first domain-specific chat model tuned on LLaMA.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/Kent0n-Li/ChatDoctor",
    "icon": "",
    "publish_time": "2023-03-21T23:40:31Z"
  },
  {
    "id": 20,
    "name": "Open Assistant",
    "vendor": "LAION-AI",
    "intro": "a project meant to give everyone access to a great chat based large language model.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/LAION-AI/Open-Assistant",
    "icon": "",
    "publish_time": "2022-12-13T05:24:17Z"
  },
  {
    "id": 21,
    "name": "baize",
    "vendor": "UCSD/SYSU",
    "intro": "fine-tuned with <a href=\"https://github.com/microsoft/LoRA\">LoRA</a>. It uses 100k dialogs generated by letting ChatGPT chat with itself. <br />Alpaca's data is also used to improve its performance.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/project-baize/baize",
    "icon": "",
    "publish_time": "2023-03-31T17:56:03Z"
  },
  {
    "id": 22,
    "name": "Koala",
    "vendor": "UC Berkley",
    "intro": "Rather than maximizing <strong>quantity</strong> by scraping as much web data as possible, the team focus on collecting a small <strong>high-quality</strong> dataset.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/young-geng/EasyLM",
    "icon": "",
    "publish_time": "2022-11-22T12:55:20Z"
  },
  {
    "id": 23,
    "name": "langchain-ChatGLM",
    "vendor": "@imClumsyPanda",
    "intro": "local knowledge based ChatGLM with langchain.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/imClumsyPanda/langchain-ChatGLM",
    "icon": "",
    "publish_time": "2023-03-31T12:12:45Z"
  },
  {
    "id": 24,
    "name": "Firefly",
    "vendor": "@yangjianxin1",
    "intro": "Instruction Tuning on Chinese dataset. Vocabulary pruning, ZeRO, and tensor parallelism are used to effectively reduce memory consumption and improve training efficiency.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/yangjianxin1/Firefly",
    "icon": "",
    "publish_time": "2023-04-02T14:55:59Z"
  },
  {
    "id": 25,
    "name": "GPT-4-LLM",
    "vendor": "microsoft",
    "intro": "aims to share data generated by GPT-4 for building an instruction-following LLMs with supervised learning and reinforcement learning.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM",
    "icon": "",
    "publish_time": "2023-04-06T03:12:14Z"
  },
  {
    "id": 26,
    "name": "pythia",
    "vendor": "EleutherAI",
    "intro": "combine interpretability analysis and scaling laws to understand how knowledge develops and evolves during training in autoregressive transformers.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/EleutherAI/pythia",
    "icon": "",
    "publish_time": "2021-12-25T23:58:44Z"
  },
  {
    "id": 27,
    "name": "StackLLaMA",
    "vendor": "Hugging Face",
    "intro": "trained on StackExchange data and the main goal is to serve as a tutorial and walkthrough on how to train model with RLHF and not primarily model performance.",
    "region": "",
    "tags": [],
    "url": "https://huggingface.co/trl-lib/llama-7b-se-rl-peft",
    "icon": ""
  },
  {
    "id": 28,
    "name": "ChatLLaMA",
    "vendor": "Nebuly",
    "intro": "a library that allows you to create hyper-personalized ChatGPT-like assistants using your own data and the least amount of compute possible.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/nebuly-ai/nebullvm/tree/main/apps/accelerate/chatllam",
    "icon": "",
    "publish_time": null
  },
  {
    "id": 29,
    "name": "ChatLLaMA",
    "vendor": "@juncongmoo",
    "intro": "LLaMA-based RLHF model, runnable in a single GPU.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/juncongmoo/chatllama",
    "icon": "",
    "publish_time": "2023-02-27T19:08:45Z"
  },
  {
    "id": 30,
    "name": "minichatgpt",
    "vendor": "@juncongmoo",
    "intro": "To Train ChatGPT In 5 Minutes with ColossalAI.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/juncongmoo/minichatgpt",
    "icon": "",
    "publish_time": "2023-02-23T16:22:16Z"
  },
  {
    "id": 31,
    "name": "Luotuo-Chinese-LLM",
    "vendor": "@LC1332",
    "intro": "Instruction fine-tuned Chinese Language Models, with colab provided!",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/LC1332/Luotuo-Chinese-LLM",
    "icon": "",
    "publish_time": "2023-03-21T02:43:12Z"
  },
  {
    "id": 32,
    "name": "Chinese-Vicuna",
    "vendor": "@Facico",
    "intro": "A Chinese Instruction-following LLaMA-based Model, fine-tuned with Lora, cpp inference supported, colab provided.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/Facico/Chinese-Vicuna",
    "icon": "",
    "publish_time": "2023-03-23T01:54:50Z"
  },
  {
    "id": 33,
    "name": "InstructGLM",
    "vendor": "@yanqiangmiffy",
    "intro": "ChatGLM based instruction-following model, fine-tuned on a variety of data sources, supports deepspeed accelerating and LoRA.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/yanqiangmiffy/InstructGLM",
    "icon": "",
    "publish_time": "2023-03-23T03:07:04Z"
  },
  {
    "id": 34,
    "name": "Wombat",
    "vendor": "alibaba",
    "intro": "a novel learning paradigm called RRHF, as an alternative of RLHF,  is proposed, which scores responses generated by different sampling policies and learns to align them with human preferences through ranking loss. And the performance is comparable to RLHF, with less models used in the process.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/GanjinZero/RRHF",
    "icon": "",
    "publish_time": "2023-04-10T08:21:45Z"
  },
  {
    "id": 35,
    "name": "deepspeed-chat",
    "vendor": "microsoft",
    "intro": "Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-chat",
    "icon": "",
    "publish_time": null
  },
  {
    "id": 36,
    "name": "alpaca-glassoff",
    "vendor": "@WuJunde",
    "intro": "a mini image-acceptable Chat AI can run on your own laptop, based on <a href=\"https://github.com/tatsu-lab/stanford_alpaca\">stanford-alpaca</a> and <a href=\"https://github.com/tloen/alpaca-lora\">alpaca-lora</a>.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/WuJunde/alpaca-glassoff",
    "icon": "",
    "publish_time": "2023-04-09T14:41:48Z"
  },
  {
    "id": 37,
    "name": "Visual Med-Alpaca",
    "vendor": "Cambridge",
    "intro": "a multi-modal foundation model designed specifically for the biomedical domain",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/cambridgeltl/visual-med-alpaca",
    "icon": "",
    "publish_time": "2023-04-11T15:31:14Z"
  },
  {
    "id": 38,
    "name": "Guanaco",
    "vendor": "@JosephusCheung",
    "intro": "A Multilingual Instruction-Following Language Model",
    "region": "",
    "tags": [],
    "url": "https://huggingface.co/datasets/JosephusCheung/GuanacoDataset",
    "icon": ""
  },
  {
    "id": 39,
    "name": "CAMEL",
    "vendor": "KAUST",
    "intro": "a novel communicative agent framework named <strong>role-playing</strong>, using <strong>inception prompting</strong> to guide chat agents toward task completion while maintaining consistency with human intentions.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/lightaime/camel",
    "icon": "",
    "publish_time": "2023-03-17T21:41:54Z"
  },
  {
    "id": 40,
    "name": "IDPChat",
    "vendor": "BaihaiAI",
    "intro": "Chinese multi-modal model, single GPU runnable, easy to deploy, UI provided.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/BaihaiAI/IDPChat",
    "icon": "",
    "publish_time": "2023-04-09T13:20:24Z"
  },
  {
    "id": 41,
    "name": "ChatRWKV",
    "vendor": "BlinkDL",
    "intro": "powered by RWKV (<strong>100% RNN</strong>), Training sponsored by Stability EleutherAI.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/BlinkDL/ChatRWKV",
    "icon": "",
    "publish_time": "2023-01-13T08:07:40Z"
  },
  {
    "id": 42,
    "name": "LLM Zoo",
    "vendor": "@FreedomIntelligence",
    "intro": "a project that provides data, models, and evaluation benchmark for large language models.<br />model released: Phoenix, Chimera",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/FreedomIntelligence/LLMZoo",
    "icon": "",
    "publish_time": "2023-04-01T12:08:23Z"
  },
  {
    "id": 43,
    "name": "MiniGPT-4",
    "vendor": "KAUST",
    "intro": "MiniGPT-4 aligns a frozen visual encoder from BLIP-2 with a frozen LLM, Vicuna, using just one projection layer, and yields many emerging vision-language capabilities similar to those demonstrated in GPT-4.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/Vision-CAIR/MiniGPT-4",
    "icon": "",
    "publish_time": "2023-04-15T22:17:09Z"
  },
  {
    "id": 44,
    "name": "Huatuo",
    "vendor": "HIT",
    "intro": "fine-tuned with Chinese medical knowledge dataset, which is generated by using gpt3.5 api.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/SCIR-HI/Huatuo-Llama-Med-Chinese",
    "icon": "",
    "publish_time": "2023-03-31T13:21:24Z"
  },
  {
    "id": 45,
    "name": "LLaVA",
    "vendor": "UW–Madison/MSR/Columbia University",
    "intro": "visual instruction tuning is proposed, towards building large language and vision models with GPT-4 level capabilities.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/haotian-liu/LLaVA",
    "icon": "",
    "publish_time": "2023-04-17T16:13:11Z"
  },
  {
    "id": 46,
    "name": "StableLM",
    "vendor": "Stability-AI",
    "intro": "Stability AI Language Models.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/Stability-AI/StableLM",
    "icon": "",
    "publish_time": "2023-04-19T14:02:16Z"
  },
  {
    "id": 47,
    "name": "DoctorGLM",
    "vendor": "ShanghaiTech, etc",
    "intro": "Chinese medical consultation model fine-tuned on ChatGLM-6B.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/xionghonglin/DoctorGLM",
    "icon": "",
    "publish_time": "2023-03-29T10:48:16Z"
  },
  {
    "id": 48,
    "name": "RedPajama-Data",
    "vendor": "TogetherComputer",
    "intro": "An Open Source Recipe to Reproduce LLaMA training dataset.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/togethercomputer/RedPajama-Data",
    "icon": "",
    "publish_time": "2023-04-14T20:43:41Z"
  },
  {
    "id": 49,
    "name": "MOSS",
    "vendor": "FDU",
    "intro": "An open-source tool-augmented conversational language model from Fudan University.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/OpenLMLab/MOSS",
    "icon": "",
    "publish_time": "2023-04-15T14:07:44Z"
  },
  {
    "id": 50,
    "name": "BBT-2",
    "vendor": "ssymmetry & FDU",
    "intro": "120B open-source LM.",
    "region": "",
    "tags": [],
    "url": "https://bbt.ssymmetry.com/",
    "icon": ""
  },
  {
    "id": 51,
    "name": "BioMedGPT-1.6B",
    "vendor": "Tsinghua AIR",
    "intro": "a pre-trained multi-modal molecular foundation model with 1.6B parameters that associates 2D molecular graphs with texts.",
    "region": "",
    "tags": [
      "OpenSource"
    ],
    "url": "https://github.com/BioFM/OpenBioMed",
    "icon": "",
    "publish_time": "2023-04-13T04:10:04Z"
  },
  {
    "id": 52,
    "name": "ChatGPT",
    "vendor": "OpenAI",
    "intro": "The most famous LLM model in the world.",
    "region": "US",
    "tags": [
      "100B",
      "Bussiness"
    ],
    "url": "https://chat.openai.com/",
    "icon": "https://img1.imgtp.com/2023/04/29/vPyzuoLc.png",
    "publish_time": "2022-11-30T00:00:00Z"
  },
  {
    "id": 53,
    "name": "GPT-4",
    "vendor": "OpenAI",
    "intro": "The most powerful LLM model till now in the world.",
    "region": "US",
    "tags": [
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      "Paid"
    ],
    "url": "https://openai.com/product/gpt-4",
    "icon": "https://img1.imgtp.com/2023/04/29/vPyzuoLc.png",
    "publish_time": "2023-03-15T00:00:00Z"
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    "name": "文心一言",
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    "region": "CN",
    "tags": [
      "Bussiness",
      "Internal test"
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    "url": "https://yiyan.baidu.com/welcome",
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    "publish_time": "2023-03-16T08:00:00Z"
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    "id": 55,
    "name": "通义千问",
    "vendor": "阿里云",
    "intro": "通义千问是由阿里巴巴集团旗下的云端运算服务的科技公司阿里云开发的聊天机器人，能够与人交互、回答问题及协作创作",
    "region": "CN",
    "tags": [
      "Bussiness",
      "Internal test"
    ],
    "url": "https://tongyi.aliyun.com",
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    "publish_time": "2023-04-07T08:00:00Z"
  },
  {
    "id": 56,
    "name": "360 智脑",
    "vendor": "360",
    "intro": "360 智脑是基于360的大模型开发的人工智能产品矩阵，目前已落地360搜索场景并开放测试",
    "region": "CN",
    "tags": [
      "Bussiness",
      "Internal test"
    ],
    "url": "https://www.so.com/zt/invite.html#/",
    "icon": "",
    "publish_time": null
  },
  {
    "id": 57,
    "name": "天工",
    "vendor": "昆仑万维",
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    "region": "CN",
    "tags": [
      "Bussiness",
      "Internal test"
    ],
    "url": "https://tiangong.kunlun.com/",
    "icon": "https://img1.imgtp.com/2023/04/26/Cb5pHZUl.png"
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]