Ollama:拥抱开源模型
Ollama: All Aboard Open Models

原始链接: https://ollama.com/blog/all-aboard-open-models

创始人 Jeff 和 Michael 是曾被 Docker 收购的初创公司 Kitematic 的幕后双人组,如今他们带着 Ollama 回归了——这是一个旨在让运行开源 AI 模型像运行本地软件一样简单的平台。 Ollama 使开发者能够直接在自己的硬件上运行强大的模型,通过消除对 API 密钥或昂贵云服务器的需求,优先保障了**所有权、经济性和隐私性**。自发布以来,该平台已发展到服务 890 万名开发者,目前有 85% 的《财富》世界 500 强企业正在使用。 为了加速实现让 AI 变得触手可及且去中心化的使命,Ollama 从 Benchmark 及一群知名行业投资者手中筹集了 8800 万美元资金。这笔资金将用于扩展其云服务、实现无缝混合推理,并为新发布的开源模型提供“首日”支持。 通过填补复杂研究与开发者友好工具之间的鸿沟,Ollama 旨在开启 AI 的“个人电脑时刻”,确保用户能够构建、定制并拥有自己的 AI 基础设施,而无需依赖专有的黑盒系统。

近期关于 Ollama 8800 万美元融资的 Hacker News 讨论引发了开源社区的强烈不满。尽管 Ollama 因让本地大语言模型(LLM)变得触手可及而广受认可,但批评者认为该公司实质上只是社区驱动项目 `llama.cpp` 的一个“套壳”产品,且未能提供足够的贡献回报或技术对等。 主要批评意见包括: * **技术局限性:** 用户对 Ollama 无法执行高级任务(例如 `llama.cpp` 所支持的选择性 MoE 层卸载)感到不满。 * **道德担忧:** 有指控称 Ollama 未能妥善遵守 `llama.cpp` 关于版权声明的 MIT 许可要求,并将现有功能重新包装为己有。 * **商业化担忧:** 许多评论者担心在获得风险投资后会出现“平庸化”(enshittification),认为 Ollama 的商业模式损害了开源软件的精神。 * **替代方案:** 社区中呼声较高的一部分人鼓励用户直接迁移到 `llama.cpp`、`vLLM` 或其他替代方案,理由是这些方案性能更好、透明度更高,且对自身硬件的控制力更强。 反之,也有用户捍卫 Ollama,认为其用户友好且“即插即用”的特性大大降低了运行本地模型的准入门槛。
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原文

Ollama founders

Michael and I first met in college, where we started our first company, Kitematic, which made Docker dead-simple to run. In 2015, it was acquired by Docker. There, our work became Docker Desktop, launched in 2016 and now used by over ten million developers around the world.

Ten years later, we’re back, building Ollama — the easiest way for developers to get up and running with open models. Beyond our wildest dreams, Ollama has quickly become the leading platform to access open models, serving 8.9 million developers who, just like us, believe that AI should be yours to build, run, and make your own.

The personal computer moment for AI

Computing has been here before: the personal computer took the machine out of the mainframe room and put it on your desk — yours to own, customize, and build with. Open models are now enabling that moment for AI.

A few years ago we watched as powerful new open models emerged. They were freely available to download, but it was hard to get them working. The power was there, but it wasn’t unlocked for developers who wanted to consume them the way they could access proprietary models behind an API.

So we got to work. With our team we shipped Ollama, an app you could download on your computer to get up and running with the latest open models in a single command, and build on them via a simple API. Ollama quickly became the place where developers could feel at home to discover the latest open models and learn how to put them to work.

With Ollama, running an open model became as easy as running any other piece of software: no permission, API key, or expensive server hardware required. Your model. Your machine. Your data.

AI that you own: personal & private

We built Ollama around three principles that matter most to our customers and community:

Ownership. Open models are yours to keep, customize, and optimize. You’re never locked out of the models your agent or app depends on, and you have complete freedom to change them.

Affordability. Models that run on your own hardware don’t come with runaway per-token bills. You can experiment, iterate, and ship without worrying that every prompt is adding cost.

Privacy. With open models that can run locally, your data never has to leave your machine. When you do need to scale, you can carry that same trust into the cloud.

Scaling open models to solve the world’s hardest problems

Open models aren’t an experiment or a research project anymore. They’re now running inside the largest companies in the world — Ollama is used by 85% of the Fortune 500 — and it’s just the beginning.

What started as the joy of running an open model on your computer for the first time has evolved into the drive to solve very difficult problems once reserved for proprietary models. Ollama’s cloud is the most delightful way to access the most powerful open models: GLM, Nemotron, DeepSeek, Kimi, MiniMax and more. On average, Ollama’s cloud has more than doubled in token volume every month, and we can’t wait to make it available to every team.

All in on open

Today, we’re announcing that Ollama has raised $88M from Peter Fenton at Benchmark, Tomasz Tunguz at Theory Ventures, Alex Kolicich at 8VC, along with Solomon Hykes (founder of Docker), Aaron Katz (CEO of ClickHouse), Spencer Kimball (co-creator of GIMP and co-founder of Cockroach Labs), Quinn Slack (CEO of Amp), Marianna Tessel (board of directors, Cisco), Michael Montano (former head of engineering at Twitter), and Y Combinator, Garage Capital, Pace Capital, 49 Palms, GTMFund, and many other incredible angel investors.

This funding is fuel for what’s ahead. Ollama sits front and center in the open model ecosystem, and we intend to push it forward as hard as we can: seamless hybrid inference, support for new open models the day they’re released, and a cloud that lets any developer and their team reach the most powerful models without giving up ownership or privacy.

None of this happens without the people behind the models. Thank you to the teams releasing powerful, openly available models and moving the entire field ahead. Our job is to make their incredible work effortless to run for everyone and to keep it open.

We’ve stood at the beginning of a shift like this once before, betting that open and easy would win. We’re betting on it again, with everything we’ve got.

It’s time to drive open-source AI forward. All aboard.

To get started, download Ollama and start building with open models:

ollama

Thank you to everyone who’s run a model, filed an issue, built an integration or shipped something with Ollama. We love hearing your feedback. We’re only here because of you.

— Jeff & Michael

联系我们 contact @ memedata.com