tencent/WeMM-Embedding-2B download history

tencent/WeMM-Embedding-2B is a 2.7B-parameter feature extraction model by tencent. In the last 30 days it was downloaded 18,650 times (3,538 in the last 7 days), and 30,020 times in total.

It ranks #5,940 on the Hub by monthly downloads and #214 among feature extraction models.

It has 114 likes, 4 of them in the last week.

It is a fine-tune of Qwen/Qwen3.5-2B.

14 models build on WeMM-Embedding-2B: 8 quantized, 6 fine-tuned, 0 adapters and 0 merges. Together with the original they were downloaded 28,922 times in the last 30 days. See the WeMM-Embedding-2B galaxy.

Most downloaded derivatives

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