yemeni-ai-lab/gemma-4-e2b-yemeni-arabic-assistant-GGUF
LoRA-style (fewer layers) vs google/gemma-4-E2B-it. yemeni-ai-lab/gemma-4-e2b-yemeni-arabic-assistant-GGUF matches part of google/gemma-4-E2B-it (505 of its 2011 tensors; the rest of google/gemma-4-E2B-it has no counterpart). On the shared part: yemeni-ai-lab/gemma-4-e2b-yemeni-arabic-assistant-GGUF is a GGUF (BF16) 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 0/227, MLP 105/105, other 0/71, Attention 100/100