Is there somewhere a collection of the best agent/coding harnesses for each models, especially open-source and local ones? In my opinion, the biggest reason why people are struggling with open/local models these days is that the agent/coding harnesses in most open agent are not
@clementdelangue
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Tencent’s Latest AI Developments and Initiatives
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Time to follow https://t.co/K4Rf9nWzU8! https://t.co/bU3mBnusFp pic.twitter.com/8sET4B20ZB
— clem 🤗 (@ClementDelangue) 14 avril 2026Time to follow http://
hf.co/tencent! -
GPU Kernels on Hugging Face Hub Enable Faster PyTorch
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Introducing Kernels on the Hugging Face Hub ✨
— clem 🤗 (@ClementDelangue) 14 avril 2026
What if shipping a GPU kernel was as easy as pushing a model?
– Pre-compiled for your exact GPU, PyTorch & OS
– Multiple kernel versions coexist in one process
– torch.compile compatible
– 1.7x–2.5x speedups over PyTorch baselines pic.twitter.com/U0qDdxCWkdIntroducing Kernels on the Hugging Face Hub What if shipping a GPU kernel was as easy as pushing a model? – Pre-compiled for your exact GPU, PyTorch & OS
– Multiple kernel versions coexist in one process
– torch.compile compatible
– 1.7x–2.5x speedups over PyTorch baselines -
Chandra-OCR-2 OCR Model by DataLab Released
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we used Chandra-OCR-2 by @datalabto
: https://
huggingface.co/datalab-to/cha
ndra-ocr-2
… Full write-up by @NielsRogge
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Open source OCR processes 27000 arxiv papers efficiently
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We just OCR'd 27,000 arxiv papers into Markdown using an open 5B model, 16 parallel HF Jobs on L40S GPUs, and a mounted bucket. Total cost: $850 Total time: ~29 hours Jobs that crashed: 0 This now powers "Chat with your paper" on http://
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Coding with Robots: ElevenLabs and Reachy Mini Collaboration
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favorite AGI/sci-fi vibe these days is coding a robot code together with the robot
— Thomas Wolf (@Thom_Wolf) 10 avril 2026
here vibe-pluging @ElevenLabs in @reachymini for a talk later today pic.twitter.com/0m65ozY8JAfavorite AGI/sci-fi vibe these days is coding a robot code together with the robot here vibe-pluging @ElevenLabs in @reachymini for a talk later today
→ View original post on X — @clementdelangue, 2026-04-10 18:22 UTC
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Hugging Face Kernels: Enabling AI Builders with Optimized Binary Operations
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In a world where writing code to build websites and apps is trivial (thank you Lovable, Cursor, Claude,…), the real differentiation for you and your company (and what makes you successful) will be how you manage to train, run and optimize AI models yourself. That's why at Hugging Face, we're doubling down on enabling more to become AI builders rather than AI users. We're releasing this week Kernels on the Hugging Face hub. This repo type is for the hardcore AI engineers among you. Kernels are collections of optimized binary operations where hardware providers support is a first-class citizen: – CUDA – ROCm – Apple Silicon – Intel XPU Expect to see more of this repo type on Hugging Face in the coming days. Featured here: the Flash Attention kernel from @sgl_project team ❤️
→ View original post on X — @clementdelangue, 2026-04-10 15:23 UTC
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NS Orthogonalization Dominates MuonAdamW Optimizer Baseline Research
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Ran autoresearch on hf to see whether anything can beat MuonAdamW baseline Biggest takeaway: NS orthogonalization is a very strong attractor that absorbs most gradient modifications you throw at it. See all the artifacts at huggingface.co/datasets/mish…
→ View original post on X — @clementdelangue, 2026-04-10 13:23 UTC
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Hermes Agent Traces on Hugging Face Platform
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hermes agent traces on Hf would be pretty neat attn: @Teknium @NousResearch @ClementDelangue huggingface.co/changelog/age…
→ View original post on X — @clementdelangue, 2026-04-10 02:20 UTC
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Transformers.js Reaches 4.4M Monthly Downloads in March 2026
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Transformers.js monthly downloads 🤯📈
— Xenova (@xenovacom) 9 avril 2026
2023/03 ▏3.2K
2024/03 █ 266K
2025/03 ██ 764K
2026/03 ████████████ 4.4M
Thanks so much to this amazing community! 🤗 We're excited to see what you build next! pic.twitter.com/ruvsLMQNGlTransformers.js monthly downloads 🤯📈 2023/03 ▏3.2K 2024/03 █ 266K 2025/03 ██ 764K 2026/03 ████████████ 4.4M Thanks so much to this amazing community! 🤗 We're excited to see what you build next!
→ View original post on X — @clementdelangue, 2026-04-09 16:21 UTC