HIT-TMG/JevEmbed-KaLM-Embedding-V2.5
LoRA-style vs KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5. 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 24 of 24 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/49, MLP 0/72, Attention 72/168