vocabradar/WordEmbedding
Word Embeddings — 1,672,738 words in 42 languages One 384-dimensional vector for every word in vocabradar/wordfreq: 42 languages, 1,672,738 words. The word lists and the vector matrices are row-for-row aligned, so a word's line number in the list is also its row in the matrix and its frequency rank. Vectors come from hotchpotch/bekko-embedding-v1-a25m — a 24.9M-parameter multilingual ModernBERT encoder (MIT), mean pooling, L2-normalized, 384 dimensions (Matryoshka 256 / 128 /… See the full description on the dataset page: https://huggingface.co/datasets/vocabradar/WordEmbedding.
| Author / organization | vocabradar |
|---|---|
| License (as declared) | mit |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 October 2026 |
| Last updated at source | 20 October 2026 |
Recent changes
- 20 Oct 2026 License: none → mit
- 20 Oct 2026 Description: none → Word Embeddings — 1,672,738 words in 42 languages One 384-dimensional vector for every word in vocabradar/wordfreq: 42 languages, 1,672,738 words. The word lists and the vector matrices are row-for-row aligned, so a word's line number in th
- 20 Oct 2026 Topics added embeddings, word-embeddings, int8, quantization, multilingual, llama.cpp
Changes detected by Silytics between refreshes of the source.
More from vocabradar
- vocabradar/wordfreqDataset
- vocabradar/WordTranslationDataset
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