ewin-reg/WeMM-Embedding-2B-Quantized download history
ewin-reg/WeMM-Embedding-2B-Quantized is a 1.8B-parameter feature extraction model by ewin-reg. In the last 30 days it was downloaded 1,969 times (156 in the last 7 days), and 1,969 times in total.
It ranks #21,464 on the Hub by monthly downloads and #467 among feature extraction models.
It has 5 likes, 1 of them in the last week.
It is a fine-tune of tencent/WeMM-Embedding-2B.
3 models build on WeMM-Embedding-2B-Quantized: 1 quantized, 2 fine-tuned, 0 adapters and 0 merges. Together with the original they were downloaded 2,412 times in the last 30 days. See the WeMM-Embedding-2B-Quantized galaxy.
Most downloaded derivatives
- ewin-reg/WeMM-Embedding-2B-Apple-Silicon-MLX (quantized), 301 downloads in 30 days
- ewin-reg/WeMM-Embedding-2B-INT8 (finetune), 107 downloads in 30 days
- ewin-reg/WeMM-Embedding-2B-INT8-Wide (finetune), 35 downloads in 30 days