Qodo/Qodo-Embed-1-1.5B
LoRA-style vs Alibaba-NLP/gte-Qwen2-1.5B-instruct. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, k_proj, o_proj, q_proj, up_proj, v_proj changed, in 28 of 28 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/57, MLP 84/84, Attention 112/196
1 other repos hold byte-for-byte identical weight files.