We released kernels 0.15.1, packed with new features, including: * Torch stable ABI support * Better manylinux_2_28 support * A skill for making XPU kernels * Better offline support * Docs on IDE support for local development. github.com/huggingface/...
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Daniël de Kok
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Practitioner with public evidence across AI research, NLP & language, Models & releases.
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Machine Learning, Natural Language Processing, LLM, transformers, macOS, NixOS, Rust, C++, Python, Cycling.
Working on inference at Hugging Face 🤗. Open source ML 🚀.
What they're sharing
Release v0.15.1 · huggingface/kernels github.com
🤗 Kernels: Major Updates huggingface.co
kernels-community/vllm-flash-attn3 at v1 huggingface.co
kernels-community/flash-attn3 at v1 huggingface.co
Hugging Face Inference Providers · Supported Models huggingface.co
kernels/nix-builder/pkgs/manylinux at main · huggingface/kernels github.com
kernels-community/flash-attn3 - Kernel huggingface.co
Articles & links
We recently made a lot of updates to the kernels ecosystem, from improving security, adding a dedicated kernels repo type on the hub, to support for Apache tvm-ffi. We made a write-up of these recent changes in this blog post: huggingface.co/blog/revampe...
And on the heels of Flash Attention 3, we also have the vLLM fork of Flash Attention 3: huggingface.co/kernels/kern... This is used for e.g. gpt-oss, since that model uses attention sinks.
We have recently added Torch Stable ABI support to @hf.co kernels and kernel-builder. So you can now target a specific minimum Torch version for long-term support. We're rolling out Stable ABI builds of kernels in kernels-community, starting with Flash Attention 3: huggingface…
I switched from Claude Sonnet/Opus to mostly using Kimi K2.7 Code and GLM-5.2, and... nothing bad happened. The @hf.co Inference API makes it super easy to switch between different models and providers: huggingface.co/inference/mo... Open models are really competitive - great …
The flexibility of #nix and #nixos is insane. What if you are building compute kernels with Nix, but you need them to be compatible with manylinux_2_28 (based on Enterprise Linux 8)? Simple, repackage the EL8 gcc toolset RPMs as Nix derivations and wrap it in a stdenv. github.…
We also update the first kernel to use the Torch stable ABI: huggingface.co/kernels/kern...
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