DavidAU/Gemma-3-Nine-Rings-of-Power-Fiction-Horror-4b-it-GGUF
LoRA-style (fewer layers) vs google/gemma-3-4b-it. DavidAU/Gemma-3-Nine-Rings-of-Power-Fiction-Horror-4b-it-GGUF matches part of google/gemma-3-4b-it (443 of its 883 tensors; the rest of google/gemma-3-4b-it has no counterpart). On the shared part: DavidAU/Gemma-3-Nine-Rings-of-Power-Fiction-Horror-4b-it-GGUF is a GGUF (Q4_K/Q6_K) 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 34 of 34 layers; norms, biases and embeddings are untouched.
Tensors changed: Norms 0/205, MLP 102/102, Attention 136/136