Are scaling laws finally working for time series foundation models? Today, @datadoghq is releasing Toto 2.0 weights in Apache 2.0 on @huggingface. It’s a family of open-weights TSFMs from 4M to 2.5B parameters, where every size beats the last from a single hyperparameter config.
https://x.com/ClementDelangue/status/2054991352295731619
Unlocking asynchronicity in continuous batching
https://huggingface.co/blog/continuous_async
Building Blocks for Foundation Model Training and Inference on AWS
https://huggingface.co/blog/amazon/foundation-model-building-blocks
🆕 Hugging Face 🤝 Hermes Agent 🔥 > we added Hermes Agent to local apps: run it locally with any compatible GGUF/MLX model > shipped native traces support for Hermes Agent: visualize your Hermes traces directly on the Hub Very soon most agents will run locally and we want to
https://x.com/mervenoyann/status/2053857347429151163
Exciting: local ML is (finally) going mainstream 🔥 – new GGUF uploads on HF nearly doubled in 2 months – smaller models (like gemma 4 and qwen 27b) starting to be really good and run on a lot of hardwaers – people forking and vibing over llama.cpp (MTP / DS4 / turboquant…)
https://x.com/victormustar/status/2053780086596288781
I have a new job! Excited to announce that I will be working with Hugging Face to make local models work great in OpenClaw and other open agent harnesses! I will be building in public and documenting everything along the way, stay tuned!
https://x.com/onusoz/status/2053812410730037256
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