Which open-weight translation and summarisation models get downloaded most
A daily read of Hugging Face's top 5,000 models, focused on models tagged for translation or summarisation: the most downloaded, new uploads in the top 5,000, what they are used for, and who makes them. Many general language models can translate or summarise too, but they are counted here only if their task tag says so.
The most-downloaded open-weight translation and summarisation models
Ranked by downloads over the last 30 days. Fine-tuned versions count; most format conversions and re-uploads are left out. Counts include automated fetches, which lift models that tools and test suites pull by default. How models are placed is explained under About this data.
New translation and summarisation models in the top 5,000
Uploaded to Hugging Face in the last six months with at least 25 likes or a trending score of 10, ranked by downloads over the last 30 days. Most format conversions and re-uploads are left out.
Downloads by task
Share of downloads of translation and summarisation models in Hugging Face's top 5,000 on Oct 2, 2026, leaving out most format conversions and re-uploads. Models tagged for both tasks, such as the T5 models, can appear in the table but are left out of the bars; on Oct 2, 2026 they were 69.9% of this page's downloads.
Share of downloads by maker
Each repo counts under the account that uploaded it, leaving out most format conversions and re-uploads. Models tagged for both tasks, such as the T5 models, can appear in the table but are left out of the bars; on Oct 2, 2026 they were 69.9% of this page's downloads. Change is in percentage points since Jul 4, 2026.
Licences of the most-downloaded translation and summarisation models
As declared on each repo, leaving out most format conversions and re-uploads. Models tagged for both tasks, such as the T5 models, can appear in the table but are left out of the bars; on Oct 2, 2026 they were 69.9% of this page's downloads.