mateoguaman/vamos
LoRA-style vs google/paligemma2-3b-pt-224. 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 27 of 27 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/4, Norms 0/215, MLP 78/186, Attention 185/320, other 0/2