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Core ML

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Headlines · 2

  1. Hugging Face ships AnyLanguageModel 1.0 for Apple platforms

    Hugging Face has released AnyLanguageModel 1.0, alongside swift-huggingface 1.0 and swift-xet 1.0, a year after introducing the project. AnyLanguageModel is described as a drop-in replacement for Apple's Foundation Models framework that lets apps choose the model and provider, and the post says tool calling and guided generation now work with every provider, with image support using Foundation Models 27 syntax. Hosted support has expanded to OpenAI's Chat Completions and Responses APIs, Open Responses, Anthropic's Messages API with adaptive thinking and effort options, Google's Gemini API, Ollama, Private Cloud Compute on OS 27, and Hugging Face Inference Providers or other OpenAI-compatible endpoints via a custom base URL; the project also runs on Linux.

    Hugging Face · 🔥 0
  2. vLLM Semantic Router open-sources Decision 3.0 decision models, tops decision leaderboard

    The vLLM community project vLLM Semantic Router released and open-sourced the Decision 3.0 family of multimodal decision models: d3, d3-flash, d3-mini, d3-nano, d3-lite and d3-edge, spanning roughly 0.6B to 27B parameters, with weights published on Hugging Face. The flagship d3 is built on Qwen3.8-27B and accepts multiple images and video, while the other five are based on Qwen3.5 at different sizes; unlike Jev, which is served mainly via cloud API, the series is open-weight and locally deployable. According to team-provided figures, on the Jev Decision Index 0.3.1 leaderboard d3 ranks first with a text decision index of 64.7 and a vision score of 71.6, ahead of Jev's 60.1 and Microsoft Decision-1's 53.2 (9B, fine-tuned from Qwen3.5-9B); the team also reports median latency on a single AMD Instinct MI325X GPU of 55 ms for text, 273 ms with images and 553 ms for 10-second video, while one developer ran d3-lite via Core ML on an M5 Pro Mac to classify and route 1,000 pull requests in about two minutes.

    智东西 · 🔥 0

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