kajuma/gemma-2-27b-instruct
LoRA-style vs google/gemma-2-27b. 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 46 of 46 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Attention 183/184, Norms 0/185, MLP 138/138