Unofficial GGUF conversion of tencent/WeMM-Embedding-2B for llama.cpp. It is the default embedding model of imgsearch, a local-first image search app. Not affiliated with or endorsed by Tencent. All credit for the model goes to the WeChat Vision Team; it is licensed under Apache 2.0. Both files are needed for image input. Output: 2048 dimensions, L2-normalize; Matryoshka truncation (re-normalize) to 1024/512/256 works well. The prompt must match the reference processor output exactly. No system turn, no instruction; queries and documents are encoded the same way. Take the last-token hidden state (pooling none, last position, or --pooling last): is the llama.cpp mtmd media marker; mtmd adds…
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Lain Soykaf
lainsoykaf
Models in Library1
Datasets in Library0
Models on Hugging Face2
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Published tasks: Feature extraction.
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