mmnga/gemma-3n-E4B-it-gguf
Quantization (fewer layers) vs google/gemma-3n-E4B-it. mmnga/gemma-3n-E4B-it-gguf matches part of google/gemma-3n-E4B-it (809 of its 1676 tensors; the rest of google/gemma-3n-E4B-it has no counterpart). On the shared part: mmnga/gemma-3n-E4B-it-gguf is a GGUF quantization (Q8_0) of the same weights: 493 tensors match exactly and 316 within quantization error.
Tensors changed: Embeddings 0/1, other 0/246, Norms 0/317, MLP 0/105, Attention 0/140