17 February 2026Hugging Face (Twitter) RT @evijit: Today, @evaluatingevals is introducing Every Eval Ever, a unified, open data format and public dataset for AI evaluation results.
17 February 2026Hugging Face (Twitter) RT @Cohere_Labs: Introducing ✨Tiny Aya✨, a family of massively multilingual small language models built to run where people actually are. Tiny Aya delivers strong multilingual performance in 70+ global languages in a 3.35B parameter model, efficient enough to run locally, even on a phone.
17 February 2026Hugging Face (Twitter) RT @Cohere_Labs: Very special to work with our @huggingface friends to bring Tiny Aya, the most capable multilingual open-weight model at its scale to the world! 🚀 Big thanks to @ngxson for the huge help merging the changes into llama.cpp.
16 February 2026Hugging Face (Twitter) RT @AdinaYakup: Happy Spring Festival🧧🐎 Here’s to another year of building and sharing! 新的一年,继续开源同行 🤗
16 February 2026Hugging Face (Twitter) RT @NielsRogge: Dots.ocr is known for being among the SOTA for OCR Looks like the new 1.5 model is SOTA on OlmOCRBench! https://huggingface.co/rednote-hilab/dots.ocr-1.5
16 February 2026Hugging Face (Twitter) RT @Alibaba_Qwen: 🚀 Qwen3.5-397B-A17B is here: The first open-weight model in the Qwen3.5 series. 🖼️Native multimodal. Trained for real-world agents. ✨Powered by hybrid linear attention + sparse MoE and large-scale RL environment scaling. ⚡8.6x–19.0x decoding throughput vs Qwen3-Max 🌍201 languages & dialects 📜Apache2.0 licensed 🔗Dive in: GitHub: github.com/QwenLM/Qwen3.5
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