kartikaybagla/functiongemma-bank-sms-parser
LoRA-style vs google/functiongemma-270m-it. kartikaybagla/functiongemma-bank-sms-parser is a GGUF (F16) of different weights. 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 18 of 18 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/109, MLP 54/54, Attention 72/72