Hugging Face

Hugging Face (Twitter) RT @ClementDelangue: Who is the company or organization that did the most for open-source AI in 2025 and who are you hoping to see more from in 2026?

Hugging Face (Twitter) RT @eliebakouch: Korea just released more 100B+ models in 1 day than the EU or the US in 2025 and that’s with only ~1k B200s from the government, imagine what they’ll do with 260k GPUs https://twitter.com/SeunghyunSEO7/status/2006379621013655767#m

‌Hugging Face (Twitter) RT @_akhaliq: Qwen-Image-2512 is out https://huggingface.co/Qwen/Qwen-Image-2512

Hugging Face (Twitter) RT @kchonyc: the second model is now up on @huggingface model hub. this time it is a 100bn moe llm from @upstageai ! https://twitter.com/kchonyc/status/2005434422787809572#m

Hugging Face (Twitter) RT @eliebakouch: Here is more detail on how this is working. There are 5 teams for this first round and only 4 teams will go to the second round. There are 3 constraints: > from-scratch training > somewhat open (can be used commercially) > ambitious (omni model, large scale, etc.) breakdown of the different costs: > Compute: ~$110M in compute leasing (sk telecom and naver are providing the compute) > Data: ~$7M for data accessible to each team, ~$14M for a video dataset (only naver ended up training an omni model afaik). Each team gets an additional ~$2M for their own dataset curation total cost of this first round is ~140M USD https://twitter.com/eliebakouch/status/2006364076977336552#m

Hugging Face (Twitter) RT @ClementDelangue: As spotted by @eliebakouch & @natolambert, Korea's AI is on fire these days thanks to the public support for open-source AI with the "Sovereign AI Foundation Model” project! Just in the past few days, three beautiful open models were announced: - K-Exagone from @LGUS, a 236B fine-grained MoE design (23B active) that shines in Korean and multilingual, optimized with Multi-Token Prediction (MTP), enabling self-speculative decoding that boosts inference throughput by approximately 1.5x. - Solar Open by @upstageai: 102B / 12B Mixture-of-Experts architecture models with 102B total / 12B active parameters trained entirely from scratch: https://huggingface.co/upstage/Solar-Open-100B - A.X K1 by @SKtelecom: a 519B total param, planned to release on 4th of January from SKT: huggingface.co/skt/A.X-K1 In 2026, all countries in the world should make it the number 1 priority to push for open-source AI as the most promising factor for... Перейти на оригинальный пост

Hugging Face (Twitter) RT @eliebakouch: If you are wondering what is happening: last summer, the Ministry of Science of Korea created a program with 5 companies to train sovereign AI models and release them under a permissive license, so other South Korean companies can use them and hence expand their domestic AI ecosystem to recap we got: - SK Telecom: A(.)X-K1 519B total, 33B active - LG: K-EXAONE 236B total, 23B active - NC-AI: VAETKI 112B total, 10B active - Upstage: Solar-Open 102B total, 12B active - Naver: HyperCLOVAX-SEED-Think 32B Dense this is REALLY a big deal https://twitter.com/eliebakouch/status/2006359083776201059#m

Hugging Face (Twitter) RT @helloiamleonie: brace yourselves for robot content

Hugging Face (Twitter) RT @eliebakouch: THERE IS ANOTHER ONE FROM LG THIS TIME, 236B MOE!!! looking like xiaomi mimo v2 flash like with 128 swa, MTP, 256k context length! https://twitter.com/eliebakouch/status/2006345217965011009#m

Hugging Face (Twitter) RT @eliebakouch: wowwww another large open model from Korea about to be released! this time from sk telecom with 519B total param, release planned on 4th of january 2026

Hugging Face (Twitter) RT @Zai_org: A defining year for open source at Z.ai. We keep moving. http://huggingface.co/zai-org/models

Hugging Face (Twitter) RT @xeophon: GLM 4.7 is Sonnet at home, evidence 513: https://twitter.com/ArtificialAnlys/status/2006197168487424127#m