HIT-TMG/JevEmbed-Qwen3-Embedding-4B

LoRA-style vs Qwen/Qwen3-Embedding-4B. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of k_proj, q_proj, v_proj changed, in 36 of 36 layers; norms, biases and embeddings are untouched.

Tensors changed: Embeddings 0/1, Norms 0/145, MLP 0/108, Attention 108/144

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