106 days of daily snapshots
Trending open models
Ranked by 7-day download growth from our own nightly snapshots — history Hugging Face itself doesn't show.
All tasks
text-generation
text-to-image
image-text-to-text
ASR
sentence-similarity
text-classification
translation
feature-extraction
image-classification
text-to-speech
token-classification
summarization
audio-classification
image-segmentation
object-detection
audio-text-to-text
any-to-any
| # | Model | 30d | Δ 7d | Trend |
|---|---|---|---|---|
| 01 | spark-s1-4b-v6-GGUF | 367 K | ▲ 24.9% | |
| 02 | glotlid | 641 K | ▲ 21.7% | |
| 03 | distilbert-base-multilingual-cased-sentiments-student | 795 K | ▲ 11.9% | |
| 04 | prompt-saturation-attack-detector | 225 K | ▲ 10.8% | |
| 05 | ftrobertallm | 225 K | ▲ 10.5% | |
| 06 | fasttext-language-identification | 830 K | ▲ 10.3% | |
| 07 | robertuito-sentiment-analysis | 459 K | ▲ 9.6% | |
| 08 | german-sentiment-bert | 419 K | ▲ 9.5% | |
| 09 | Bangla-twoclass-Sentiment-Analyzer | 3.4 M | ▲ 8.2% | |
| 10 | distilbert-base-uncased-finetuned-sst-2-english | 2.9 M | ▲ 5.6% | |
| 11 | twitter-roberta-base-sentiment | 253 K | ▲ 5.0% | |
| 12 | bertweet-base-sentiment-analysis | 216 K | ▲ 2.6% | |
| 13 | bge-reranker-v2-m3 | 14.8 M | ▲ 2.3% | |
| 14 | phishing-email-detection-distilbert_v2.4.1 | 311 K | ▲ 2.2% | |
| 15 | twitter-roberta-base-sentiment-latest | 2.4 M | ▲ 1.8% | |
| 16 | inclusively-classification | 323 K | ▲ 1.5% | |
| 17 | xlm-emo-t | 488 K | ▲ 1.4% | |
| 18 | MedCPT-Cross-Encoder | 518 K | ▲ 1.4% | |
| 19 | ms-marco-MiniLM-L-6-v2 | 710 K | ▲ 1.3% | |
| 20 | JEV-35B | 1.7 M | ▲ 1.3% | |
| 21 | Qwen2.5-Math-PRM-7B | 738 K | ▲ 0.8% |
Snapshots taken nightly at 04:00 UTC from the public Hugging Face API. Also available as JSON: /api/v1/trending · methodology