Nabbers1999/gemma-3-27b-it-abliterated-refined-vision
LoRA-style vs google/gemma-3-27b-it. 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 61 of 62 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/4, Norms 0/484, MLP 157/294, Attention 263/464, other 0/1
3 derivatives checked
- mradermacher/gemma-3-27b-it-abliterated-refined-vision-i1-GGUF: Quantization (fewer layers)
- mradermacher/gemma-3-27b-it-abliterated-refined-vision-GGUF: Quantization (fewer layers)
- McG-221/gemma-3-27b-it-abliterated-refined-vision-mlx-8Bit: Quantization