prithivMLmods/gemma-4-E4B-it-qat-GGUF

Same weights, converted (fewer layers) vs google/gemma-4-E4B-it-qat-q4_0-unquantized. prithivMLmods/gemma-4-E4B-it-qat-GGUF matches part of google/gemma-4-E4B-it-qat-q4_0-unquantized (623 of its 2076 tensors; the rest of google/gemma-4-E4B-it-qat-q4_0-unquantized has no counterpart). On the shared part: Same weights stored in another dtype (BF16 → F16/F32), plus 43 new tensors.

Tensors changed: Embeddings 0/2, Norms 0/278, MLP 0/126, other 0/85, Attention 0/132

On the Hub · Downloads on Model Pulse