didula-wso2/gemma4_1-0-9_sft_16bit_vllm
LoRA-style vs didula-wso2/gemma4_1-0-8_sft_16bit_vllm. 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 42 of 42 layers; norms, biases and embeddings are untouched.
Tensors changed: MLP 126/606, Norms 0/502, other 0/261, Attention 132/755, Embeddings 0/6