What's moving on the Hub
5,245 models with real traffic were created in the last seven days. What is trending, what is being pulled faster than it was, which base models the field is building on, what arrived this week and what everyone already uses — each with its size, licence and lineage, read nightly from every model that has traffic.
203,680 models with traffic · read 2026-09-18 · 8 days of download and like history since 2026-09-10New models per day
Models that reached the traffic tier, by the day they were created. A spike is a release; the plateau is the field's daily rate.
| # | Model | Trend score | Downloads 30d | Likes | Params | Commercial |
|---|---|---|---|---|---|---|
| 1 | Edge0/Edge0-35B-A3B-preview text-generation | 37k | 3,267 | 35B | yes | |
| 2 | deepseek-ai/DeepSeek-V4.1-Flash image-text-to-text | 391k | 2,943 | 763B | yes | |
| 3 | Qwen/Qwen3.8-27B image-text-to-text | 7.5M | 15,482 | 28B | yes | |
| 4 | m-a-p/YuE2-3B text-to-audio | 12k | 685 | 3.6B | no | |
| 5 | openbmb/MiniCPM5-2B text-generation | 330k | 1,527 | 2.5B | yes | |
| 6 | ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF image-text-to-text | 1.0M | 1,232 | 28B base model | yes | |
| 7 | Lightricks/LTX-2.5 image-to-video | 1.6M | 4,173 | — | unknown | |
| 8 | TokenRhythm/NeoHorse-1-4B text-generation | 20k | 2,199 | 4.2B | yes | |
| 9 | DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF image-text-to-text | 1.1M | 826 | 28B base model | yes | |
| 10 | ukisai/Swift-Qwen3.8-27b image-text-to-text | 3,221 | 358 | 28B | unknown | |
| 11 | unsloth/Qwen3.8-27B-GGUF | 8.2M | 4,243 | 28B base model | yes | |
| 12 | sentence-transformers/all-MiniLM-L6-v2 sentence-similarity | 256M | 6,040 | 23M | yes | |
| 13 | tencent/AuK text-to-speech | 3,024 | 284 | — | yes | |
| 14 | Qwen/Qwen3.8-Flash-Next image-text-to-text | 706k | 5,343 | 180B | unknown | |
| 15 | dealignai/DeepSeek-V4.1-Flash-UNCENSORED-FP8 image-text-to-text | 32k | 255 | 763B | yes | |
| 16 | MiniMaxAI/MiniMax-H3 image-text-to-video | 4.6M | 5,404 | 33B | unknown | |
| 17 | meta-llama/Llama-3.1-8B-Instruct text-generation | 5.9M | 7,681 | 8.0B | conditional | |
| 18 | openai-community/gpt2 text-generation | 16M | 4,131 | 137M | yes | |
| 19 | Agnes-AI/Agnes-3.0-Flash image-text-to-text | 1,223 | 209 | 33B | yes | |
| 20 | harshatheg/Qwen-2.5-1B-RLCD text-generation | 0 | 206 | 1.5B base model | yes |
Trend score is Hugging Face's own, read live. Downloads are the Hub's rolling thirty-day count. The licence column is the resolved verdict, not the card's string.
How the corpus is made
Lifetime share on the bar; the pill is the last thirty days of arrivals against the thirty before, so a category growing faster than the corpus is where the new models are going. Size classes come from parameter counts; "unstated" is a model whose card and weights give none.
Which of these you can run under which runtime, and under what terms, is worked through in Which models can you actually run? and What you're allowed to ship.