convaiinnovations/medgemma-4b-ecginstruct
LoRA-style vs google/medgemma-4b-it. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, fc1, fc2, gate_proj, k_proj, o_proj, out_proj, q_proj, up_proj, v_proj changed, in 34 of 34 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/4, Norms 0/316, MLP 150/210, Attention 244/352, other 0/1
1 derivatives checked
- convaiinnovations/medgemma-ecg-gguf-only: Quantization (fewer layers)