返回资讯中心
外部精选
软件工程
#开发者实时流

llama.cpp 发布 v1.0.0,并推出 macOS 原生应用

来源标题:Llama.cpp hits v1.0 with a native app for macOS

llama.cpp 正式发布 v1.0.0,同时推出 macOS 原生应用。该项目历经 3.5 年发展,已支持在从消费级设备到企业服务器的多种硬件上运行多模态 LLM,大量下游应用依赖其进行本地 AI 推理。

Hacker News 最新shubham02042026/11/14 · 今天30 分钟阅读

以下正文同步自 Hacker News 最新,版权归原站所有,已转换为易读排版。

Back to Articles

a]:hidden">

llama.cpp v1.0.0 : A stronger foundation for the local AI ecosystem

Team Article Published November 13, 2026

Upvote 133

+127

Daniel Bevenius danbev Follow

ggml-org

Georgi Gerganov ggerganov Follow

ggml-org

merve merve Follow

ggml-org

:last-child]:mb-0"> Releases

Semantic version update rules

Distribution

Development

Backend and model coverage

Thanks

Additional resources

llama.cpp makes it possible to run multi-modal LLMs across a wide range of hardware - from consumer-grade local machines to high-end enterprise servers. Through quantization, optimized backends, and a portable C/C++ implementation, we make AI inference accessible at every level of the software stack. We believe this is the most lightweight, versatile and sensible platform for building cross-platform and private AI products.

During the 3.5 years since its inception, the project has grown a lot and many downstream applications already depend on our work. We expect this trend to continue as local AI and privacy become increasingly important in our everyday lives. Every new integration means more developers depending on our library interfaces and therefore having a flexible but stable API is paramount.

Today we release libraries v1.0.0, highlighting our responsibility to those developers. Moving forward, both llama.cpp and ggml will reflect API and ABI incompatibilities with major-version bumps. As adoption grows, we will be stricter about making those boundaries visible to downstream consumers.

Releases

Release Library Public header(s)

llama.cpp v1.0.0 - LLM inference in C/C++ libllama llama.cpp/include/

ggml v1.0.0 - Tensor library for machine learning libggml ggml/include/

Semantic version update rules

The following rules apply to all ggml-org projects using semantic versioning:

Distribution

We are looking forward to expanding the ways in which ggml-org software is distributed and reaches developers and end-users. For more information about how to add ggml-org projects to your packaging and release pipelines, please check the following discussion.

Development

The project has fostered an amazing open-source community with highly-skilled and talented contributors. With the rapid advance of AI capabilities in the field of software engineering, we continue to adapt and integrate LLMs in our developement cycle in a thoughtful and resonable manner. Maintaining a high quality codebase, staying in control of the architecture and understanding the implementation details will remain our top priorities.

To reinforce the faster pace of development we continue to invest more and more resources in improving the CI infrastructure behind the projects. Thanks to HF technologies such as HF Buckets and HF Jobs we are able to scale the capacity necessary to guarantee correctness for every change that lands on the master branches. With hardware support from NVIDIA, AMD, Qualcomm, Arm, IBM and Intel, we continue to enroll more self-hosted runners across all major hardware platforms.

Backend and model coverage

The underlying machine learning engine of llama.cpp - ggml is designed to run on virtually any hardware in existence. This is achieved by implementing dedicated ggml backends. Each backend can be compiled as a dynamic library and optionally loaded at runtime.

A complete list of the currently implemented backends can be found here.

We are committed to provide continuous support of all model architectures. Currently, llama.cpp supports more than 150 architecture variants as well as all mainstream speculative decoding methods.

Thanks

The llama.cpp team at Hugging Face is thankful for the incredible support from the community. Special thanks to the long-time maintainers of the project and all contributors. This is a significant milestone which would not have been possible without our joint efforts!

Additional resources

llama.cpp examples

ggml-org at Hugging Face

ggml-org at Github

Check out Llama desktop apps for MacOS and Windows, shipped with love by the team behind llama.cpp and Hugging Face.

More from this author

111

October 2, 2026

Using OCR models with llama.cpp

47

April 10, 2026

Community

🔥🔥🔥</p>\n","updatedAt":"2026-11-13T14:08:05.405Z","author":{"_id":"5e67bdd61009063689407479","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1583857146757-5e67bdd61009063689407479.jpeg","fullname":"Clem 🤗","name":"clem","type":"user","isPro":true,"isHf":true,"isHfAdmin":false,"isMod":false,"followerCount":3295,"isUserFollowing":false,"primaryOrg":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1583856921041-5dd96eb166059660ed1ee413.png","fullname":"Hugging Face","name":"huggingface","type":"org","isHf":true,"details":"The AI community building the future.","plan":"team"}}},"numEdits":0,"identifiedLanguage":{"language":"zh","probability":0.7688558101654053},"editors":["clem"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/1583857146757-5e67bdd61009063689407479.jpeg"],"reactions":[{"reaction":"❤️","users":["project516","BlueNipples","ggerganov","abidlabs","Junebugg"],"count":5}],"isReport":false},"replies":[{"id":"6af7aa4b403f0201b1d90461","author":{"_id":"6619e40c15b4ab795cb9fbf5","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/1QuoOl1l2cVKrbCjz20bp.png","fullname":"Marc Saint-jour","name":"Junebugg","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false},"createdAt":"2026-11-14T00:24:43.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Hey, can you guide me with a project? I am not connected. ","html":"<p>Hey, can you guide me with a project? I am not connected. </p>\n","updatedAt":"2026-11-14T00:24:43.396Z","author":{"_id":"6619e40c15b4ab795cb9fbf5","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/1QuoOl1l2cVKrbCjz20bp.png","fullname":"Marc Saint-jour","name":"Junebugg","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.941946804523468},"editors":["Junebugg"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/1QuoOl1l2cVKrbCjz20bp.png"],"reactions":[],"isReport":false,"parentCommentId":"6af719c5cb8d5be3a73fe3f6"}}]},{"id":"6af71a08994f57419b1582c8","author":{"_id":"603d25b75f9d390ab190b777","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1617264212503-603d25b75f9d390ab190b777.jpeg","fullname":"Pedro Cuenca","name":"pcuenq","type":"user","isPro":true,"isHf":true,"isHfAdmin":false,"isMod":false,"followerCount":1905,"isUserFollowing":false,"primaryOrg":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1583856921041-5dd96eb166059660ed1ee413.png","fullname":"Hugging Face","name":"huggingface","type":"org","isHf":true,"details":"The AI community building the future.","plan":"team"}},"createdAt":"2026-11-13T14:09:12.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Let's go!!","html":"<p>Let's go!!</p>\n","updatedAt":"2026-11-13T14:09:12.790Z","author":{"_id":"603d25b75f9d390ab190b777","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1617264212503-603d25b75f9d390ab190b777.jpeg","fullname":"Pedro Cuenca","name":"pcuenq","type":"user","isPro":true,"isHf":true,"isHfAdmin":false,"isMod":false,"followerCount":1905,"isUserFollowing":false,"primaryOrg":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1583856921041-5dd96eb166059660ed1ee413.png","fullname":"Hugging Face","name":"huggingface","type":"org","isHf":true,"details":"The AI community building the future.","plan":"team"}}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.9768560528755188},"editors":["pcuenq"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/1617264212503-603d25b75f9d390ab190b777.jpeg"],"reactions":[],"isReport":false}},{"id":"6af71e15cb8d5be3a73fe405","author":{"_id":"65d66b494bbd0d92b641cdbb","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65d66b494bbd0d92b641cdbb/6-7dm7B-JxcoS1QlCPdMN.jpeg","fullname":"Andres Marafioti","name":"andito","type":"user","isPro":false,"isHf":true,"isHfAdmin":false,"isMod":false,"followerCount":631,"isUserFollowing":false,"primaryOrg":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1583856921041-5dd96eb166059660ed1ee413.png","fullname":"Hugging Face","name":"huggingface","type":"org","isHf":true,"details":"The AI community building the future.","plan":"team"}},"createdAt":"2026-11-13T14:26:29.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"THIS","html":"<p>THIS</p>\n","updatedAt":"2026-11-13T14:26:29.934Z","author":{"_id":"65d66b494bbd0d92b641cdbb","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65d66b494bbd0d92b641cdbb/6-7dm7B-JxcoS1QlCPdMN.jpeg","fullname":"Andres Marafioti","name":"andito","type":"user","isPro":false,"isHf":true,"isHfAdmin":false,"isMod":false,"followerCount":631,"isUserFollowing":false,"primaryOrg":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1583856921041-5dd96eb166059660ed1ee413.png","fullname":"Hugging Face","name":"huggingface","type":"org","isHf":true,"details":"The AI community building the future.","plan":"team"}}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.776553750038147},"editors":["andito"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/65d66b494bbd0d92b641cdbb/6-7dm7B-JxcoS1QlCPdMN.jpeg"],"reactions":[],"isReport":false}},{"id":"6af71eb8cb8d5be3a73fe40f","author":{"_id":"67c5d537358173ae2f6a038c","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/67c5d537358173ae2f6a038c/kjxn09Z7NFluvjY_R00cC.png","fullname":"Charles Poisson","name":"cpoisson","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":7,"isUserFollowing":false},"createdAt":"2026-11-13T14:29:12.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"🚀 ","html":"<p>🚀 </p>\n","updatedAt":"2026-11-13T14:29:12.332Z","author":{"_id":"67c5d537358173ae2f6a038c","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/67c5d537358173ae2f6a038c/kjxn09Z7NFluvjY_R00cC.png","fullname":"Charles Poisson","name":"cpoisson","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":7,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"zh","probability":0.16620232164859772},"editors":["cpoisson"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/67c5d537358173ae2f6a038c/kjxn09Z7NFluvjY_R00cC.png"],"reactions":[],"isReport":false}},{"id":"6af71fca994f57419b1582e3","author":{"_id":"62d648291fa3e4e7ae3fa6e8","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62d648291fa3e4e7ae3fa6e8/oatOwf8Xqe5eDbCSuYqCd.png","fullname":"ben burtenshaw","name":"burtenshaw","type":"user","isPro":false,"isHf":true,"isHfAdmin":false,"isMod":false,"followerCount":5083,"isUserFollowing":false,"primaryOrg":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1583856921041-5dd96eb166059660ed1ee413.png","fullname":"Hugging Face","name":"huggingface","type":"org","isHf":true,"details":"The AI community building the future.","plan":"team"}},"createdAt":"2026-11-13T14:33:46.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"YES!","html":"<p>YES!</p>\n","updatedAt":"2026-11-13T14:33:46.559Z","author":{"_id":"62d648291fa3e4e7ae3fa6e8","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62d648291fa3e4e7ae3fa6e8/oatOwf8Xqe5eDbCSuYqCd.png","fullname":"ben burtenshaw","name":"burtensh

正文由 探How 从来源站点 RSS 同步,内容未经改写;遇到排版缺失或需要图片、视频时请以原文为准。

打开原文
去社区讨论 →