{"data":{"slug":"binary-husky-gpt-academic","name":"gpt_academic","tagline":"提供实用化交互接口，优化论文阅读/润色/写作体验","github_url":"https://github.com/binary-husky/gpt_academic","owner":"binary-husky","repo":"gpt_academic","owner_avatar_url":"https://avatars.githubusercontent.com/u/96192199?v=4","primary_language":"Python","stars":71196,"forks":8330,"topics":["academic","chatglm-6b","chatgpt","gpt-4","large-language-models"],"archived":false,"github_pushed_at":"2026-01-25T12:33:10+00:00","maintenance_label":"Slowing","stars_delta_30d":102,"url":"https://www.graphcanon.com/tools/binary-husky-gpt-academic","markdown_url":"https://www.graphcanon.com/tools/binary-husky-gpt-academic.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/binary-husky-gpt-academic","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=binary-husky-gpt-academic","description":"为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。","homepage_url":"https://github.com/binary-husky/gpt_academic/wiki/online","license":"GPL-3.0","open_issues":330,"watchers":291,"ai_summary":"为GPT/GLM等大语言模型提供了实用化的交互界面，专注于提升论文相关的任务效率。支持自定义功能和多种LLM接入。","readme_excerpt":"# Installation\n\n```mermaid\nflowchart TD\n    A{\"安装方法\"} --> W1(\"I 🔑直接运行 (Windows, Linux or MacOS)\")\n    W1 --> W11[\"1 Python pip包管理依赖\"]\n    W1 --> W12[\"2 Anaconda包管理依赖（推荐⭐）\"]\n\n    A --> W2[\"II 🐳使用Docker (Windows, Linux or MacOS)\"]\n\n    W2 --> k1[\"1 部署项目全部能力的大镜像（推荐⭐）\"]\n    W2 --> k2[\"2 仅在线模型（GPT, GLM4等）镜像\"]\n    W2 --> k3[\"3 在线模型 + Latex的大镜像\"]\n\n    A --> W4[\"IV 🚀其他部署方法\"]\n    W4 --> C1[\"1 Windows/MacOS 一键安装运行脚本（推荐⭐）\"]\n    W4 --> C2[\"2 Huggingface, Sealos远程部署\"]\n    W4 --> C4[\"3 其他 ...\"]\n```\n\n---\n\n# 【可选步骤V】确保config.py配置文件的AVAIL_LLM_MODELS包含了期望的模型，目前支持的全部模型如下(jittorllms系列目前仅支持docker方案)：\nAVAIL_LLM_MODELS = [\"gpt-3.5-turbo\", \"api2d-gpt-3.5-turbo\", \"gpt-4\", \"api2d-gpt-4\", \"chatglm\", \"moss\"] # + [\"jittorllms_rwkv\", \"jittorllms_pangualpha\", \"jittorllms_llama\"]\n\n---\n\n### 安装方法II：使用Docker\n\n0. 部署项目的全部能力（这个是包含cuda和latex的大型镜像。但如果您网速慢、硬盘小，则不推荐该方法部署完整项目）\n\n\n    ``` sh\n    # 修改docker-compose.yml，保留方案0并删除其他方案。然后运行：\n    docker-compose up\n    ```\n\n1. 仅ChatGPT + GLM4 + 文心一言+spark等在线模型（推荐大多数人选择）\n\n\n\n\n    ``` sh\n    # 修改docker-compose.yml，保留方案1并删除其他方案。然后运行：\n    docker-compose up\n    ```\n\nP.S. 如果需要依赖Latex的插件功能，请见Wiki。另外，您也可以直接使用方案4或者方案0获取Latex功能。\n\n2. ChatGPT + GLM3 + MOSS + LLAMA2 + 通义千问（需要熟悉[Nvidia Docker](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#installing-on-ubuntu-and-debian)运行时）\n\n\n    ``` sh\n    # 修改docker-compose.yml，保留方案2并删除其他方案。然后运行：\n    docker-compose up\n    ```","github_created_at":"2023-03-20T09:05:13+00:00","created_at":"2026-07-07T17:33:07.947875+00:00","updated_at":"2026-08-17T00:01:51.685905+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"academic","name":"academic"},{"slug":"chatglm-6b","name":"chatglm-6b"},{"slug":"chatgpt","name":"chatgpt"},{"slug":"gpt-4","name":"gpt-4"},{"slug":"large-language-models","name":"large language models"}],"trust":{"provenance":{"is_fork":false,"github_id":616372661,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-17T00:01:50.858Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":203,"last_release_at":"2024-12-19T14:28:53Z","stars_delta_30d":102,"open_issues_delta_30d":3},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:00:16.781Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-17T00:01:51.341Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-08-17T00:01:51.341Z","managed_saas":false},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-08-17T00:01:51.341Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-08-17T00:01:51.341Z"},"license_spdx":{"value":"GPL-3.0","source":"github.license","observed_at":"2026-08-17T00:01:51.341Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium"},"requirements":{"notes":["依赖Python环境"],"min_ram_gb":8,"requires_docker":false},"constraints":{"min_ram_gb":8,"pricing_model":"freemium","requires_docker":false},"when_to_use":["需要使用GPT或GLM大语言模型进行高效的学术论文相关任务时","想要通过自定义快捷按钮和插件提高工作流效率，特别是在处理和技术性的写作活动中","具备多项大语言模型如chatglm3及其它本地模型接入的需求，能够利用这些增强的并行问询能力","需要对文献或技术文档（PDF/LaTeX）进行翻译或者总结"],"when_not_to_use":["主要任务不是围绕论文和学术资料处理时, 特别是不涉及到大语言模型的实际应用情况","不需要自定义快捷按钮与高级功能插件，且对通用的大语言模型交互界面已经满意","侧重于文本创作以外的开发流程优化（例如：性能调优或低层级编程实现）","只需要基本的数据翻译或总结工具，无需连接多个大语言模型来提升任务效率"],"source":"enrich:decision_facts","observed_at":"2026-07-11T12:06:25.770Z"},"constraint_facets":{"min_ram_gb":8,"pricing_model":"freemium","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"freemium"},{"label":"Requirements","value":"Min 8 GB RAM; 依赖Python环境"},{"label":"Adopt for","value":"gpt_academic专为增强与GPT/GLM等大语言模型的交互，优化论文写作、润色和阅读体验。它支持自定义模块、多种LLM接入，并且拥有PDF/LaTeX文档处理功能。"},{"label":"License detail","value":"使用GPL-3.0许可证，这意味着你可以自由地运行、学习、分享和修改这个软件，但是如果你在分发含gpt_academic的程序时，你必须公开整个程序源代码且采用同为GPL许可证"}]}}