majentik/gemma-4-E2B-RotorQuant-GGUF-Q2_K

Quantization (fewer layers) vs google/gemma-4-E2B. majentik/gemma-4-E2B-RotorQuant-GGUF-Q2_K matches part of google/gemma-4-E2B (565 of its 2011 tensors; the rest of google/gemma-4-E2B has no counterpart). On the shared part: majentik/gemma-4-E2B-RotorQuant-GGUF-Q2_K is a GGUF quantization (Q2_K) of the same weights: 248 tensors match exactly and 317 within quantization error.

Tensors changed: Embeddings 0/2, Norms 0/247, MLP 0/105, other 0/71, Attention 0/140

On the Hub · Downloads on Model Pulse