McGill-NLP/AfriE5-Large-instruct download history
McGill-NLP/AfriE5-Large-instruct is a 560M-parameter feature extraction model by McGill-NLP. In the last 30 days it was downloaded 3,165 times (269 in the last 7 days), and 11,079 times in total.
It ranks #15,231 on the Hub by monthly downloads and #400 among feature extraction models.
It has 0 likes.
It is a fine-tune of intfloat/multilingual-e5-large-instruct.
3 models build on AfriE5-Large-instruct: 1 quantized, 2 fine-tuned, 0 adapters and 0 merges. Together with the original they were downloaded 3,408 times in the last 30 days. See the AfriE5-Large-instruct galaxy.
Most downloaded derivatives
- mradermacher/AfriE5-Large-instruct-GGUF (quantized), 149 downloads in 30 days
- amDANIEL2024/tulati-v1-afrie5-salt (finetune), 83 downloads in 30 days
- amDANIEL2024/cross_encoder_AfriE5-Large-instruct (finetune), 11 downloads in 30 days