Hugging Face

‌Hugging Face (Twitter) RT @fal: Weights on Hugging Face 🤗

Hugging Face (Twitter) RT @GenrobotAI: THE LARGEST OPEN-SOURCE EMBODIED AI DATASET IS COMING.🔥🔥🔥 1Wh RealOmni-Open Dataset 🚀🚀🚀 Launching soon on @huggingface

‌Hugging Face (Twitter) RT @victormustar: WeDLM-8B: a diffusion language model with parallel decoding 👀 🔹Beats Qwen3-8B-Instruct on 5/6 benchmarks 🔹3-6× faster on math reasoning (vs vLLM Qwen3-8B) 🔹Native KV cache & FlashAttention support https://huggingface.co/tencent/WeDLM-8B-Instruct

Hugging Face (Twitter) RT @ArtificialAnlys: Naver, a South Korean internet giant, has just launched HyperCLOVA X SEED Think, a 32B open weights reasoning model that scores 44 on the Artificial Analysis Intelligence Index. This model is one of the strongest South Korean models, and outperforms EXAONE 4.0 32B, a previous Korean model leader Key benchmarking takeaways: ➤ Strength in Agentic Tool Use: HyperCLOVA X SEED Think scores 87% on τ²-Bench Telecom, demonstrating strong performance on agentic tool-use workflows. HyperCLOVA X SEED Think currently ranks among the frontier models in τ²-Bench Telecom, scoring similarly in this category to Gemini 3 Pro Preview ➤ Low token usage: HyperCLOVA X SEED Think demonstrates low token usage relative to other models in the same intelligence tier, using only ~39M reasoning tokens across the Artificial Analysis Intelligence suite. Compared to other Korean models like Motif-2-12.7B (190M reasoning tokens) and Exaone 4.0 32B (96M reasoning... Перейти на оригинальный пост

Hugging Face (Twitter) RT @skalskip92: this is so much fun! https://twitter.com/skalskip92/status/2002124700647047460#m

‌Hugging Face (Twitter) RT @Tu7uruu: Took some days off and finally had time to read the ultrascla playbook A bit late but it’s really goated https://huggingface.co/spaces/nanotron/ultrascale-playbook?section=high-level_overview

Hugging Face (Twitter) RT @victormustar: my 128GB macbook is getting smart 🔥 `llama-server -hf unsloth/MiniMax-M2.1-GGUF:Q2_K_XL` (2026 is the year of local agents)

‌Hugging Face (Twitter) RT @victormustar: MinMax shared some gold on Hugging Face (deep dive on agent generalization & alignment) https://huggingface.co/blog/MiniMax-AI/aligning-to-what

Hugging Face (Twitter) RT @novita_labs: 🤗 MiniMax-M2.1 is now live on @huggingface , supported by Novita A 10B-activated open-source coding & agent model from MiniMax, with strong performance on SWE-multilingual and VIBE-bench benchmarks. Test it yourself 👇

Hugging Face (Twitter) RT @Michael_D_Moor: What a marvelous christmas present by @huggingface🤖🚂 #reachymini

Hugging Face (Twitter) RT @kimmonismus: This is nuts: 42% in GPQA for an 2.6B model! This can run on your iPhone and has phd knowledge. Insane https://twitter.com/liquidai/status/2004190178068296181#m

Hugging Face (Twitter) RT @ArturSkowronski: How’s Christmas Day going for you? My daughter and I spent it assembling Reachy Mini ❤️ It wasn’t planned as a Christmas gift, but thanks to customs checks, courier delays, and the fact that @huggingface and @pollenrobotics themselves slipped production by a quarter (no hard feelings), it finally reached (pun intended) me on December 23rd - so it ended up under the Christmas tree 😃 It took us three hours to assemble, and it was freaking fun for both of us... though mostly for me, I think 😆