mradermacher/gemma-4-e2b-fine-tuned-alpaca-GGUF
LoRA-style (fewer layers) vs dzuladj/gemma-4-e2b-fine-tuned-alpaca. mradermacher/gemma-4-e2b-fine-tuned-alpaca-GGUF matches part of dzuladj/gemma-4-e2b-fine-tuned-alpaca (565 of its 2011 tensors; the rest of dzuladj/gemma-4-e2b-fine-tuned-alpaca has no counterpart). On the shared part: mradermacher/gemma-4-e2b-fine-tuned-alpaca-GGUF is a GGUF (F16) 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 35 of 35 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/2, Norms 0/247, MLP 105/105, other 0/71, Attention 140/140