- agiga.bin : trained on Annotated English Gigaword. dim = 300
- GoogleNews-vectors-negative300.bin : trained on part of Google News dataset (about 100 billion words). dim = 300
- freebase-vectors-skipgram1000.bin : Entity vectors trained on 100B words from various news articles.
- freebase-vectors-skipgram1000-en.bin : Entity vectors trained on 100B words from various news articles, using the deprecated /en/ naming (more easily readable); the vectors are sorted by frequency.