@misc{vanoost2024,
	title = {{LM} {Studio}: {Run} a local {AI} on your desktop or server},
	shorttitle = {{LM} {Studio}：在桌面或服务器上运行本地人工智能},
	url = {https://4sysops.com/archives/lm-studio-run-a-local-ai-on-your-desktop-or-server/},
	abstract = {LM Studio is a free tool that allows you to run an AI on your desktop using locally installed open-source Large Language Models (LLMs). It features a browser to search and download LLMs from Hugging Face, an in-app Chat UI, and a runtime for a local server compatible with the OpenAI API. You can use this server to set up a development environment before deploying a more extensive LLM system or even run your ChatGPT clone without sharing your corporate data with third parties.

【摘要翻译】LM Studio 是一款免费工具，可让您使用本地安装的开源大型语言模型（LLM）在桌面上运行人工智能。它有一个从 Hugging Face 搜索和下载 LLM 的浏览器、一个应用内聊天 UI 以及一个与 OpenAI API 兼容的本地服务器运行时。在部署更广泛的 LLM 系统之前，您可以使用该服务器建立开发环境，甚至在不与第三方共享公司数据的情况下运行您的 ChatGPT 克隆版。},
	language = {en},
	urldate = {2024-02-12},
	journal = {4sysops},
	author = {Vanoost, Evi},
	month = jan,
	year = {2024},
	note = {🏷️ /unread、LLM; Language Model},
	keywords = {/unread, LLM; Language Model},
}

{"_id":"f6puhyhg7Rc2e3sbj","bibbaseid":"vanoost-lmstudiorunalocalaionyourdesktoporserver-2024","author_short":["Vanoost, E."],"bibdata":{"bibtype":"misc","type":"misc","title":"LM Studio: Run a local AI on your desktop or server","shorttitle":"LM Studio：在桌面或服务器上运行本地人工智能","url":"https://4sysops.com/archives/lm-studio-run-a-local-ai-on-your-desktop-or-server/","abstract":"LM Studio is a free tool that allows you to run an AI on your desktop using locally installed open-source Large Language Models (LLMs). It features a browser to search and download LLMs from Hugging Face, an in-app Chat UI, and a runtime for a local server compatible with the OpenAI API. You can use this server to set up a development environment before deploying a more extensive LLM system or even run your ChatGPT clone without sharing your corporate data with third parties. 【摘要翻译】LM Studio 是一款免费工具，可让您使用本地安装的开源大型语言模型（LLM）在桌面上运行人工智能。它有一个从 Hugging Face 搜索和下载 LLM 的浏览器、一个应用内聊天 UI 以及一个与 OpenAI API 兼容的本地服务器运行时。在部署更广泛的 LLM 系统之前，您可以使用该服务器建立开发环境，甚至在不与第三方共享公司数据的情况下运行您的 ChatGPT 克隆版。","language":"en","urldate":"2024-02-12","journal":"4sysops","author":[{"propositions":[],"lastnames":["Vanoost"],"firstnames":["Evi"],"suffixes":[]}],"month":"January","year":"2024","note":"🏷️ /unread、LLM; Language Model","keywords":"/unread, LLM; Language Model","bibtex":"@misc{vanoost2024,\n\ttitle = {{LM} {Studio}: {Run} a local {AI} on your desktop or server},\n\tshorttitle = {{LM} {Studio}：在桌面或服务器上运行本地人工智能},\n\turl = {https://4sysops.com/archives/lm-studio-run-a-local-ai-on-your-desktop-or-server/},\n\tabstract = {LM Studio is a free tool that allows you to run an AI on your desktop using locally installed open-source Large Language Models (LLMs). It features a browser to search and download LLMs from Hugging Face, an in-app Chat UI, and a runtime for a local server compatible with the OpenAI API. You can use this server to set up a development environment before deploying a more extensive LLM system or even run your ChatGPT clone without sharing your corporate data with third parties.\n\n【摘要翻译】LM Studio 是一款免费工具，可让您使用本地安装的开源大型语言模型（LLM）在桌面上运行人工智能。它有一个从 Hugging Face 搜索和下载 LLM 的浏览器、一个应用内聊天 UI 以及一个与 OpenAI API 兼容的本地服务器运行时。在部署更广泛的 LLM 系统之前，您可以使用该服务器建立开发环境，甚至在不与第三方共享公司数据的情况下运行您的 ChatGPT 克隆版。},\n\tlanguage = {en},\n\turldate = {2024-02-12},\n\tjournal = {4sysops},\n\tauthor = {Vanoost, Evi},\n\tmonth = jan,\n\tyear = {2024},\n\tnote = {🏷️ /unread、LLM; Language Model},\n\tkeywords = {/unread, LLM; Language Model},\n}\n\n","author_short":["Vanoost, E."],"key":"vanoost2024","id":"vanoost2024","bibbaseid":"vanoost-lmstudiorunalocalaionyourdesktoporserver-2024","role":"author","urls":{"Paper":"https://4sysops.com/archives/lm-studio-run-a-local-ai-on-your-desktop-or-server/"},"keyword":["/unread","LLM; Language Model"],"metadata":{"authorlinks":{}}},"bibtype":"misc","biburl":"https://api.zotero.org/groups/2386895/collections/7PPRTB2H/items?format=bibtex&limit=100","dataSources":["u8q5uny4m5jJL9RcX"],"keywords":["/unread","llm; language model"],"search_terms":["studio","run","local","desktop","server","vanoost"],"title":"LM Studio: Run a local AI on your desktop or server","year":2024}