TL;DR
The Global LLM Download Leaderboard ranks open language models on Hugging Face by what people download now: trailing 30-day downloads, not lifetime totals. It lists the global top 300 and the Korea top 30, and refreshes every day. In the 14 November 2026 snapshot, the top two Korean models are both from VIDRAFT: POCKET-Darwin-180B-GGUF and POCKET-35B-GGUF.
Why 30 days and not all-time
Lifetime download counts reward age. A model released in 2022 keeps a large total long after people have moved on. The 30-day window shows what is being used this month. The board prints both numbers on every row so the difference is visible.
The global picture
The top 300 models account for 331,761,401 downloads in the last 30 days.
| Trained in | Share of top-300 downloads | Models in the top 300 |
|---|---|---|
| China | 61.7% | 175 |
| United States | 32.3% | 89 |
| Europe | 1.4% | 8 |
| Korea | 0.4% | 3 |
Country is attributed by model family, meaning who trained the model, not who uploaded the file. A third-party quantization of a model counts toward the family that trained the original. The family is resolved from the model architecture, because names can be changed and architectures cannot.
| # | Model | 30-day downloads | All-time |
|---|---|---|---|
| 1 | openai-community/gpt2 | 33,264,897 | 973,438,339 |
| 2 | Qwen/Qwen3-0.6B | 19,141,315 | 262,961,607 |
| 3 | Qwen/Qwen3-14B | 13,011,347 | 47,921,765 |
| 4 | deepseek-ai/DeepSeek-V3.2 | 8,442,070 | 37,293,704 |
| 5 | Qwen/Qwen2.5-7B-Instruct | 6,444,573 | 195,041,610 |
| 6 | Qwen/Qwen3-8B | 6,165,334 | 138,350,815 |
| 7 | ornith-ai/Ornith-1.5-9B-GGUF | 5,813,219 | 16,078,083 |
| 8 | openai/gpt-oss-20b | 5,673,703 | 109,217,475 |
| 9 | Qwen/Qwen2.5-1.5B-Instruct | 5,145,856 | 228,576,027 |
| 10 | dphn/dolphin-2.9.1-yi-1.5-34b | 4,836,827 | 86,609,232 |
Korea top 10
| # | Model | 30-day downloads | All-time |
|---|---|---|---|
| 1 | FINAL-Bench/POCKET-Darwin-180B-GGUF | 523,910 | 612,374 |
| 2 | FINAL-Bench/POCKET-35B-GGUF | 435,640 | 2,081,893 |
| 3 | LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct | 402,209 | 4,380,333 |
| 4 | FINAL-Bench/POCKET-26B-GGUF | 204,236 | 925,149 |
| 5 | LG-AI-Research/EXAONE-Tabular | 116,382 | 293,772 |
| 6 | upstage/Solar-Open-100B | 88,704 | 604,185 |
| 7 | skt/A.X-K2-NVFP4 | 81,947 | 320,538 |
| 8 | LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct | 71,723 | 2,106,317 |
| 9 | skt/A.X-4.0-Light | 54,247 | 584,508 |
| 10 | LGAI-EXAONE/EXAONE-3.5-32B-Instruct | 52,502 | 1,245,449 |
Three Korean models are in the global top 300: POCKET-Darwin-180B-GGUF at #140, POCKET-35B-GGUF at #166 and EXAONE-3.5-7.8B-Instruct at #182. VIDRAFT models hold first, second and fourth place in Korea and account for 45.4% of the Korea top-30 downloads.
POCKET-Darwin-180B-GGUF is a 180-billion-parameter reasoning model packaged to run on a laptop. It was released on 2 October 2026 and reached 523,910 downloads in the last 30 days.
What the board leaves out
Test fixtures used by automated pipelines are removed, because they collect large download counts that no person produced. Embedding and reranker repositories are removed too: the platform tags many of them as text generation, but they do not generate text.
Use it
- Leaderboard: https://huggingface.co/spaces/VIDraft/global-llm-leaderboard
- Homepage: https://vidraft.net (the leaderboard is now the button at the right end of the menu)
- POCKET-Darwin-180B-GGUF: https://huggingface.co/FINAL-Bench/POCKET-Darwin-180B-GGUF
Data comes from the Hugging Face API on the date printed on the page. The board is released under CC BY 4.0.
