Hugging Face

Hugging Face (Twitter) RT @essential_ai: We are now the #1 trending text-gen <256B size model on HuggingFace!!

Hugging Face (Twitter) RT @ggerganov: > llama-cli -hf org/model

Hugging Face (Twitter) RT @Teknium: The new Hermes 36B model is #3 top trending on @huggingface🤗

Hugging Face (Twitter) RT @AdinaYakup: Big week for @Zai_org🔥 They just released a TTS model on @huggingface ✨ Zero-shot voice cloning (3–10s audio) ✨ Rich emotion & prosody control ✨ Low CER, high naturalness ✨ Phoneme level precision ✨ Real time streaming

Hugging Face (Twitter) RT @StepFun_ai: 🤯 8B model > GPT-5 on math ? 🌠Introducing Parallel Coordinated Reasoning (PaCoRe)——open source deep think. 📚Decouple reasoning from context limits → multi-million-token TTC. 🤩With this new paradigm, even an 8B model can push the effective per-problem TTC context to multi-million tokens, surpassing proprietary systems like GPT-5 Thinking. 🔢 Math (HMMT25): 94.5%，beating GPT-5's 93.2%, powered by ~2M-token TTC 🤖 Coding (LiveCodeBench2408-2505) : 78.2% , competitive with frontier models。 Model checkpoints, training data, and inference pipline are now MIT-licensed and fully open-source. Fork it, test it, build with us！

Hugging Face (Twitter) RT @googleaidevs: The @LeRobotHF prize: Graph-based Cost Learning and Gemma 3n for Sensing This novel “scanning-time-first” pipeline built on the LeRobot framework from @huggingface addresses the major bottleneck of sensing time in robotic exploration. This approach shows the potential of Gemma 3n for autonomous search-and-rescue, inspection, and more.

Hugging Face (Twitter) RT @danaaubakir: Excited to share that LeRobot Community Datasets v3 is here! 50K episodes | 46 robot types | 235 contributors worldwide One of the largest open-source crowdsourced robot demonstration collections for multi-embodiment learning 🦾

Hugging Face (Twitter) RT @NousResearch: Today we open source Nomos 1. At just 30B parameters, it scores 87/120 on this year’s Putnam, one of the world’s most prestigious math competitions. This score would rank #2/3988 in 2024 and marks our first step with @hillclimbai towards creating a SOTA AI mathematician.

Hugging Face (Twitter) RT @kimmonismus: Holy moly, thats insane: Nomos 1 is a 30B open-source model that just scored 87/120 on this year’s Putnam, good enough for an estimated #2/3988, showing that near–top human math performance is now possible with relatively small models plus good post-training and reasoning setup. This puts a state-of-the-art AI “mathematician” and its full reasoning capabilites into everyone’s hands, lowering the barrier to serious math research, verification, and advanced reasoning tools. https://twitter.com/NousResearch/status/1998536543565127968#m

Hugging Face (Twitter) RT @tarunipaleru: Reachy Mini is giving Wall-E. Absolute love how adorable this robot is. How do I get one asap @huggingface?

Hugging Face (Twitter) RT @SebJohnsonUK: Open-Source AI models are going to end up crushing the large frontier labs @huggingface now hosts over 2.2m models, contributed by big and small labs as well as startups. As the large models commoditise, have similar results and ultimately race to the bottom on prices Open Models are taking off. Very bullish on open source and @huggingface is in a perfect position to benefit from it. @ClementDelangue, @julien_c and @Thom_Wolf are crushing it. Original graphic by @pa_balland

Hugging Face (Twitter) RT @donvito: . @huggingface 2 million models and counting The growth, initially gradual and slow, accelerated into a steep arc as contributors worldwide pushed the boundaries of open Machine Learning Source: https://aiworld.eu/story/hugging-faces-two-million-models-and-counting