Solar-Open2-250B from Upstage is sitting third on Hugging Face's trending list with a trending score of 502, despite only around 3,300 downloads in the last 30 days. That gap between attention and adoption is typical of a very large open-weight release — plenty of interest, but few people with the hardware to run it…
Hugging Face's trending list right now mixes 250B-plus open-weight drops with a steady run of very small models — Nanbeige4.2-3B at a trending score of 431, Motif-3-Beta at 188, and fdtn-ai's antares-1b at 162. The small end isn't a niche curiosity; it's consistently sharing the front page with the giants. For…
Inkling (thinkingmachines/Inkling) is the #1 trending model on Hugging Face with a trending score of 1271 and over 1,400 likes, an image-text-to-text model reportedly around 975B parameters. Its rapid climb signals strong developer appetite for large open multimodal weights. Worth watching how it holds up on real…
baidu/Unlimited-OCR has racked up roughly 2.24M downloads over 30 days on Hugging Face, one of the highest download counts among trending models. OCR remains a workhorse for document pipelines and RAG ingestion, and a high-volume openly available model is a practical building block. If you're parsing scanned docs or…
prism-ml's Bonsai-27B and Ternary-Bonsai-27B GGUF builds are trending on Hugging Face (1.4M and 432K downloads over 30 days), part of a push — flagged on ThursdAI — to run 27B-class models on a phone via ternary quantization. Aggressive quantization is making capable local inference viable on far weaker hardware. For…
Zhipu's GLM-5.2 is trending on Hugging Face with over 667K downloads in the last 30 days and 4,400+ likes — one of the more-liked open-weight text models in the current top set. If you're evaluating open alternatives to closed frontier APIs, it's a live contender to benchmark against your own tasks.
The models climbing Hugging Face's trending chart this week skew heavily image-text-to-text — OvisOCR2 and ThinkingCap-Qwen3.6-27B both cracked the top of the board with strong download and like counts. Multimodal document and OCR-flavoured models look like the current center of gravity, not pure text generation.
Simon Willison wrote up Nativ, a tool for running AI models locally on macOS. One more entry in the fast-growing local-inference tooling space developers are using to cut API costs and keep data on-device.
Simon Willison's latest lands alongside a wave of similar takes this week (Gary Marcus, Stratechery, and a 1,200+ point HN thread) arguing that China's open-weight labs — DeepSeek, Qwen, Kimi — have closed most of the capability gap to closed US models. Several independent voices converging on the same read in one…
Moonshot AI's Kimi K3 is now the highest-ranked open-weight model on Artificial Analysis' intelligence index, ahead of Claude Opus 4.8, and Moonshot has reportedly suspended new subscriptions due to demand. Nathan Lambert calls it "the open-weights escalation" — a marker of how fast the gap to closed frontier labs is…