Mattt

69 posts

Mattt

Mattt

@mattt

Collaborating w/@huggingface and writing on @nshipster. Prev: @replicate, @github, @apple, BA @CarnegieMellon

Portland, OR Katılım Aralık 2006
68 Takip Edilen34.3K Takipçiler
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Mattt
Mattt@mattt·
I'm thrilled to announce my collaboration with @huggingface to help developers bring AI directly to users — on their own devices, on their own terms 🤗 We'll be working together to build tools & Swift packages to make things better, and writing guides that make things clearer.
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Mattt
Mattt@mattt·
Apologies to anyone impacted by yesterday's outage. I'm taking it as an opportunity to shore up the infrastructure — adding the kind of things you'd expect for a production deployment (synthetics, alerting, etc.). It's a curious thing about software, and really any shared endeavor: as something becomes depended upon by more people, the nature of what it demands from you changes. It's silly for a hobby project nobody uses to have a lot of process. But at some point neglect stops being cool-kid pragmatism and becomes stubborn recklessness. What made you fast early on becomes a liability. It's a lot like growing up. You do it reluctantly, and usually because you learned something the hard way.
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Mattt
Mattt@mattt·
sosumi.ai now has a CLI ``` npx @nshipster/sosumi fetch /documentation/swift/array ``` This lets you fetch and render  Developer content directly into LLM-readable Markdown, without connecting to a remote MCP server.
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Georgi Gerganov
Georgi Gerganov@ggerganov·
Today ggml.ai joins Hugging Face Together we will continue to build ggml, make llama.cpp more accessible and empower the open-source community. Our joint mission is to make local AI easy and efficient to use by everyone on their own hardware.
Georgi Gerganov@ggerganov

I've started a company: ggml.ai From a fun side project just a few months ago, ggml has now become a useful library and framework for machine learning with a great open-source community

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Mattt
Mattt@mattt·
It's rewarding to see so many developers using sosumi.ai on the daily. Thanks for making it part of your regular workflow!
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Mattt
Mattt@mattt·
We want to be good citizens of the ecosystem, so sosumi.ai respects robots.txt on every external host. Site owners can opt out by disallowing the sosumi-ai user-agent. Full crawler policy and contact info: sosumi.ai/bot
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Mattt
Mattt@mattt·
Other than that, this is getting pretty close to a feature-complete 1.0 release, I reckon. Big thanks to everyone who's opened issues and contributed PRs. If you hit any bumps or have anything you'd like to share, please reach out!
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Mattt
Mattt@mattt·
Next up: Improving guided generation with XGrammar. This release uses a hand-rolled implementation of constrained generation, but we do much better. I wrote a Swift wrapper around the C++ library and published it here: github.com/mattt/swift-xg… PR here: github.com/mattt/AnyLangu…
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Mattt
Mattt@mattt·
AnyLanguageModel 0.7.0 is here, with guided generation for all models — Core ML, MLX, llama.cpp, Ollama, OpenAI, Anthropic, Gemini — plus, a new Open Responses model, and a ToolExecutionDelegate for observing and controlling tool calls. Check it out! github.com/mattt/AnyLangu…
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Mattt
Mattt@mattt·
Just released AnyLanguageModel 0.6.0, with support for guided generation for MLX and Llama, custom JSON mode for Gemini, model prewarming for MLX, improved DeepSeek API compatibility, and the ability to create custom adapters in your own project. github.com/mattt/AnyLangu…
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Victor M
Victor M@victormustar·
🎉 llama.cpp now has Ollama-style model management. • Auto-discover GGUFs from cache • Load on first request • Each model runs in its own process • Route by `model` (OpenAI-compatible API) • LRU unload at `--models-max` huggingface.co/blog/ggml-org/…
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Mattt
Mattt@mattt·
In my collaboration with @huggingface, I'm on a mission to make it easier to build apps that leverage local, open-source AI models. So much of this has been community-driven, and I really appreciate the feedback I've received so far. What would you like to see next?
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Mattt
Mattt@mattt·
I built this package in response to feedback we received about the HubAPI implementation in swift-transformers. Try swift-huggingface today, and stay tuned for its integration into swift-transformers in an upcoming release. github.com/huggingface/sw…
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Mattt
Mattt@mattt·
Introducing swift-huggingface: a complete Swift client for @huggingface Hub. • Fast, resumable downloads • Flexible, predictable auth • Sharable cache with Python / hf CLI • Xet support (coming soon!) huggingface.co/blog/swift-hug…
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Mattt
Mattt@mattt·
Just published an article on @huggingface's blog about AnyLanguageModel that goes into more detail about the motivation behind the library and what we're building toward: huggingface.co/blog/anylangua… 🆕 Be sure to check out our new chat-ui-swift example project (linked at the end)
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Mattt
Mattt@mattt·
@pj4533 @bcherny Sosumi currently serves text by default for docs. It'd be great if Apple's website supported Markdown automatically, but until then, we'll need something like Sosumi. ``` ❯ curl -I -H "Accept: text/markdown" developer.apple.com/documentation/… Content-Type: text/html; charset=utf-8 ```
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Daniel Aditya Istyana
Daniel Aditya Istyana@adityadaniel·
@mattt Hi Matt, thank you for your work on this project. I’m currently checking it and curious if structured generation with Generable macros using OpenAI or Anthropic model will be supported in streaming call? As far as I know the current implementation only support String type.
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Mattt
Mattt@mattt·
Thanks to everyone who's checked out AnyLanguageModel so far! I just cut a new 0.3.0 release with a Gemini adapter that supports Google search grounding, code evaluation, and more: #google-gemini" target="_blank" rel="nofollow noopener">github.com/mattt/AnyLangu… Next up — Documenting best practices for managing API credentials in your app. The current README shows usage with environment variables, but that only works server-side. There are a few good options (and one very bad option), and it'd be helpful to write those up.
Mattt@mattt

Introducing AnyLanguageModel: A Swift package that provides a drop-in replacement for Apple's Foundation Models framework with support for custom language model providers. github.com/mattt/AnyLangu… Just change your import statement:

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재이 🕯️🍉
재이 🕯️🍉@elmomertens·
@mattt I haven't checked this out, but official FoundationModel API and other similar implementation (SwiftAI) didn't support image input, and I assume this doesn't as well?
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