create your HF account and start training models! that's the future of personal AI!
@clementdelangue
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Growth in Local AI Model Training and Open Source Development
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Local AI and people post training models based on opensource is growing!
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Cohere releases new Apache 2.0 licensed model
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Cohere is on such a great open-source trajectory lately. Beautiful Apache 2.0 model! https://t.co/BeifTmYlcn https://t.co/hsrdLTdSRH
— clem 🤗 (@ClementDelangue) 20 mai 2026Cohere is on such a great open-source trajectory lately. Beautiful Apache 2.0 model! https://
huggingface.co/CohereLabs/com
mand-a-plus-05-2026-bf16
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The case for open and local AI in personal health data analysis
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The future of biology shouldn’t stay behind black-box APIs. Especially when it touches personal health. Whether you’re @bryan_johnson measuring every biomarker, or @sytses openly sharing and analyzing his own immune-genetics data, you need open, local, transparent AI.
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The Evolution of Open-Source Large Models and Accessibility
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I remember when people were saying "It's useless to open-source big models because nobody will be able to run them fast"….
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Preparing datasets for AI model training on Hugging Face
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Add to HF as datasets for people to train models
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Local Open-Source AI as a Strategy to Mitigate GPU Shortages
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I believe on-prem and local AI – based on @huggingface open-source models – will be an important answer to the GPU shortages this year (because they are cheaper, faster, safer than cloud APIs)!
— clem 🤗 (@ClementDelangue) 18 mai 2026
Great collaboration between @huggingface & @MichaelDell @Dell to make this a reality… pic.twitter.com/nSYfGnlPqWI believe on-prem and local AI – based on @huggingface open-source models – will be an important answer to the GPU shortages this year (because they are cheaper, faster, safer than cloud APIs)! Great collaboration between @huggingface & @MichaelDell @Dell to make this a reality
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The Strategic Shift Toward Proprietary Model Training in AI
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Very cool to see Cursor doubling down on training great models. In my opinion, ultimately all serious companies in AI will want to train models themselves, based on open-source instead of outsourcing AI to others via APIs!
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AI Storage: No Trade-Offs Between Cost and Workflow
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AI teams shouldn’t have to choose between costly object storage and cumbersome git workflows. @huggingface
Storage is designed for model weights, datasets, checkpoints, and artifacts:
– simple per-TB pricing
– built-in CDN
– Xet deduplication
– private by default when needed Store -
Effective scaling laws for time series foundation models
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Are scaling laws finally effective for time series foundation models? Today, @datadoghq is releasing Toto 2.0 weights under Apache 2.0 on @huggingface. It's a family of open-weights TSFMs ranging from 4M to 2.5B parameters, where each size outperforms the previous one from a single hyperparameter configuration.