IAAR-Shanghai/MemReranker-4B download history
IAAR-Shanghai/MemReranker-4B is a 4.4B-parameter text classification model by IAAR-Shanghai. In the last 30 days it was downloaded 300 times (41 in the last 7 days), and 2,889 times in total.
It ranks #105,568 on the Hub by monthly downloads and #1,234 among text classification models.
It has 7 likes.
It is a fine-tune of Qwen/Qwen3-Reranker-4B.
1 models build on MemReranker-4B: 1 quantized, 0 fine-tuned, 0 adapters and 0 merges. Together with the original they were downloaded 334 times in the last 30 days. See the MemReranker-4B galaxy.
Most downloaded derivatives
- nisavid/MemReranker-4B-OptiQ-4bit (quantized), 34 downloads in 30 days