dimasjt/gemma-3n-E2B-it-Q4_K_M.gguf
Quantization (fewer layers) vs google/gemma-3n-E2B-it. dimasjt/gemma-3n-E2B-it-Q4_K_M.gguf matches part of google/gemma-3n-E2B-it (694 of its 1556 tensors; the rest of google/gemma-3n-E2B-it has no counterpart). On the shared part: dimasjt/gemma-3n-E2B-it-Q4_K_M.gguf is a GGUF quantization (Q4_K_M) of the same weights: 423 tensors match exactly and 271 within quantization error.
Tensors changed: Embeddings 0/1, other 0/211, Norms 0/272, MLP 0/90, Attention 0/120