epicmajorman/Gemma4-Biomedical-E4B
LoRA-style vs google/gemma-4-E4B-it. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of k_proj, o_proj, q_proj, v_proj changed, in 42 of 42 layers; norms, biases and embeddings are untouched.
Tensors changed: MLP 0/606, Norms 0/502, other 0/261, Attention 168/755, Embeddings 0/6
2 derivatives checked
- mradermacher/Gemma4-Biomedical-E4B-i1-GGUF: Quantization (fewer layers)
- mradermacher/Gemma4-Biomedical-E4B-GGUF: Same weights, converted (fewer layers)