tencent/WeMM-Embedding-4B download history

tencent/WeMM-Embedding-4B is a 5.2B-parameter feature extraction model by tencent. In the last 30 days it was downloaded 6,938 times (1,073 in the last 7 days), and 8,816 times in total.

It ranks #9,874 on the Hub by monthly downloads and #301 among feature extraction models.

It has 37 likes.

It is a fine-tune of Qwen/Qwen3.5-4B.

4 models build on WeMM-Embedding-4B: 3 quantized, 0 fine-tuned, 1 adapters and 0 merges. Together with the original they were downloaded 8,320 times in the last 30 days. See the WeMM-Embedding-4B galaxy.

Most downloaded derivatives

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