Nabbers1999/gemma-3-27b-it-abliterated-refined-novis
LoRA-style (fewer layers) vs google/gemma-3-27b-it. Nabbers1999/gemma-3-27b-it-abliterated-refined-novis matches part of google/gemma-3-27b-it (808 of its 1247 tensors; the rest of google/gemma-3-27b-it has no counterpart). On the shared part: 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 60 of 62 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/373, MLP 157/186, Attention 208/248